Table Of Content

COMPUTATIONAL INTELLIGENCE IN COMPUTATIONAL INTELLIGENCE IN ARCHITECTING COMPLEX ENGINEERING SYSTEMS ARCHITECTING COMPLEX ENGINEERING SYSTEMS VOLUME 19 VOLUME 19 COMPUTATIONAL INTELLIGENCE IN COMPUTATIONAL INTELLIGENCE IN ARCHITECTING COMPLEX ENGINEERING SYSTEMS ARCHITECTING COMPLEX ENGINEERING SYSTEMS VOLUME 19 VOLUME 19 Downloaded From: http://ebooks.asmedigitalcollection.asme.org/ on 01/28/2016 Terms of Use: http://www.asme.org/about-asme/terms-of-use ASME PRESS SERIES ON INTELLIGENT ASME PRESS SERIES ON INTELLIGENT ENGINEERING SYSTEMS THROUGH ARTIFICIAL ENGINEERING SYSTEMS THROUGH ARTIFICIAL NEURAL NETWORKS NEURAL NETWORKS EDITOR EDITOR C.H. Dagli, Editor, Missouri University of Science & Technology, Rolla, Missouri, USA C.H. Dagli, Editor, Missouri University of Science & Technology, Rolla, Missouri, USA Intelligent Engineering Systems Through Artificial Neural Networks, Volume 1, Intelligent Engineering Systems Through Artificial Neural Networks, Volume 1, edited by Cihan H. Dagli, Soundar R.T. Kumara, and Yung C. Shin, 1991 edited by Cihan H. Dagli, Soundar R.T. Kumara, and Yung C. Shin, 1991 Intelligent Engineering Systems Through Artificial Neural Networks, Volume 2, Intelligent Engineering Systems Through Artificial Neural Networks, Volume 2, edited by Cihan H. Dagli, Laura I. Burke, and Yung C. Shin, 1992 edited by Cihan H. Dagli, Laura I. Burke, and Yung C. Shin, 1992 Intelligent Engineering Systems Through Artificial Neural Networks, Volume 3, Intelligent Engineering Systems Through Artificial Neural Networks, Volume 3, edited by Cihan H. Dagli, Laura I. Burke, Benito Fernandez, and Joydeep Ghosh, edited by Cihan H. Dagli, Laura I. Burke, Benito Fernandez, and Joydeep Ghosh, 1993 1993 Intelligent Engineering Systems Through Artificial Neural Networks, Volume 4, Intelligent Engineering Systems Through Artificial Neural Networks, Volume 4, edited by Cihan H. Dagli, Benito Fernandez, Joydeep Ghosh, and R.T. Soundar edited by Cihan H. Dagli, Benito Fernandez, Joydeep Ghosh, and R.T. Soundar Kumara, 1994 Kumara, 1994 Intelligent Engineering Systems Through Artificial Neural Networks, Volume 5, Intelligent Engineering Systems Through Artificial Neural Networks, Volume 5, edited by Cihan H. Dagli, Metin Akay, C.L. Phillip Chen, Benito Fernandez, and edited by Cihan H. Dagli, Metin Akay, C.L. Phillip Chen, Benito Fernandez, and Joydeep Ghosh, 1995 Joydeep Ghosh, 1995 Intelligent Engineering Systems Through Artificial Neural Networks, Volume 6, Intelligent Engineering Systems Through Artificial Neural Networks, Volume 6, edited by Cihan H. Dagli, Metin Akay, C.L. Phillip Chen, Benito Fernandez, and edited by Cihan H. Dagli, Metin Akay, C.L. Phillip Chen, Benito Fernandez, and Joydeep Ghosh, 1996 Joydeep Ghosh, 1996 Intelligent Engineering Systems Through Artificial Neural Networks: Smart Intelligent Engineering Systems Through Artificial Neural Networks: Smart Engineering Systems: Neural Networks, Fuzzy Logic, Data Mining and Evolutionary Engineering Systems: Neural Networks, Fuzzy Logic, Data Mining and Evolutionary Programming, Volume 7, edited by Cihan H. Dagli, Metin Akay, Okan Ersoy, Benito Programming, Volume 7, edited by Cihan H. Dagli, Metin Akay, Okan Ersoy, Benito Fernandez, and Alice Smith, 1997 Fernandez, and Alice Smith, 1997 Intelligent Engineering Systems Through Artificial Neural Networks: Smart Intelligent Engineering Systems Through Artificial Neural Networks: Smart Engineering Systems: Neural Networks, Fuzzy Logic, Evolutionary Programming, Engineering Systems: Neural Networks, Fuzzy Logic, Evolutionary Programming, Data Mining and Rough Sets, Volume 8, edited by Cihan H. Dagli, Metin Akay, Data Mining and Rough Sets, Volume 8, edited by Cihan H. Dagli, Metin Akay, Anna L. Buczak, Okan Ersoy, and Benito Fernandez, 1998 Anna L. Buczak, Okan Ersoy, and Benito Fernandez, 1998 Intelligent Engineering Systems Through Artificial Neural Networks: Smart Intelligent Engineering Systems Through Artificial Neural Networks: Smart Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Programming, Data Mining and Complex Systems, Volume 9, edited by Cihan H. Programming, Data Mining and Complex Systems, Volume 9, edited by Cihan H. Dagli, Anna L. Buczak, Joydeep Ghosh, Mark Embrechts and Okan Ersoy, 1999 Dagli, Anna L. Buczak, Joydeep Ghosh, Mark Embrechts and Okan Ersoy, 1999 Intelligent Engineering Systems Through Artificial Neural Networks: Smart Intelligent Engineering Systems Through Artificial Neural Networks: Smart Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Programming, Data Mining and Complex Systems, Volume 10, edited by Cihan H. Programming, Data Mining and Complex Systems, Volume 10, edited by Cihan H. Dagli, Anna L. Buczak, Joydeep Ghosh, Mark Embrechts, Okan Ersoy and Dagli, Anna L. Buczak, Joydeep Ghosh, Mark Embrechts, Okan Ersoy and Stephen Kercel, 2000 Stephen Kercel, 2000 ASME PRESS SERIES ON INTELLIGENT ASME PRESS SERIES ON INTELLIGENT ENGINEERING SYSTEMS THROUGH ARTIFICIAL ENGINEERING SYSTEMS THROUGH ARTIFICIAL NEURAL NETWORKS NEURAL NETWORKS EDITOR EDITOR C.H. Dagli, Editor, Missouri University of Science & Technology, Rolla, Missouri, USA C.H. Dagli, Editor, Missouri University of Science & Technology, Rolla, Missouri, USA Intelligent Engineering Systems Through Artificial Neural Networks, Volume 1, Intelligent Engineering Systems Through Artificial Neural Networks, Volume 1, edited by Cihan H. Dagli, Soundar R.T. Kumara, and Yung C. Shin, 1991 edited by Cihan H. Dagli, Soundar R.T. Kumara, and Yung C. Shin, 1991 Intelligent Engineering Systems Through Artificial Neural Networks, Volume 2, Intelligent Engineering Systems Through Artificial Neural Networks, Volume 2, edited by Cihan H. Dagli, Laura I. Burke, and Yung C. Shin, 1992 edited by Cihan H. Dagli, Laura I. Burke, and Yung C. Shin, 1992 Intelligent Engineering Systems Through Artificial Neural Networks, Volume 3, Intelligent Engineering Systems Through Artificial Neural Networks, Volume 3, edited by Cihan H. Dagli, Laura I. Burke, Benito Fernandez, and Joydeep Ghosh, edited by Cihan H. Dagli, Laura I. Burke, Benito Fernandez, and Joydeep Ghosh, 1993 1993 Intelligent Engineering Systems Through Artificial Neural Networks, Volume 4, Intelligent Engineering Systems Through Artificial Neural Networks, Volume 4, edited by Cihan H. Dagli, Benito Fernandez, Joydeep Ghosh, and R.T. Soundar edited by Cihan H. Dagli, Benito Fernandez, Joydeep Ghosh, and R.T. Soundar Kumara, 1994 Kumara, 1994 Intelligent Engineering Systems Through Artificial Neural Networks, Volume 5, Intelligent Engineering Systems Through Artificial Neural Networks, Volume 5, edited by Cihan H. Dagli, Metin Akay, C.L. Phillip Chen, Benito Fernandez, and edited by Cihan H. Dagli, Metin Akay, C.L. Phillip Chen, Benito Fernandez, and Joydeep Ghosh, 1995 Joydeep Ghosh, 1995 Intelligent Engineering Systems Through Artificial Neural Networks, Volume 6, Intelligent Engineering Systems Through Artificial Neural Networks, Volume 6, edited by Cihan H. Dagli, Metin Akay, C.L. Phillip Chen, Benito Fernandez, and edited by Cihan H. Dagli, Metin Akay, C.L. Phillip Chen, Benito Fernandez, and Joydeep Ghosh, 1996 Joydeep Ghosh, 1996 Intelligent Engineering Systems Through Artificial Neural Networks: Smart Intelligent Engineering Systems Through Artificial Neural Networks: Smart Engineering Systems: Neural Networks, Fuzzy Logic, Data Mining and Evolutionary Engineering Systems: Neural Networks, Fuzzy Logic, Data Mining and Evolutionary Programming, Volume 7, edited by Cihan H. Dagli, Metin Akay, Okan Ersoy, Benito Programming, Volume 7, edited by Cihan H. Dagli, Metin Akay, Okan Ersoy, Benito Fernandez, and Alice Smith, 1997 Fernandez, and Alice Smith, 1997 Intelligent Engineering Systems Through Artificial Neural Networks: Smart Intelligent Engineering Systems Through Artificial Neural Networks: Smart Engineering Systems: Neural Networks, Fuzzy Logic, Evolutionary Programming, Engineering Systems: Neural Networks, Fuzzy Logic, Evolutionary Programming, Data Mining and Rough Sets, Volume 8, edited by Cihan H. Dagli, Metin Akay, Data Mining and Rough Sets, Volume 8, edited by Cihan H. Dagli, Metin Akay, Anna L. Buczak, Okan Ersoy, and Benito Fernandez, 1998 Anna L. Buczak, Okan Ersoy, and Benito Fernandez, 1998 Intelligent Engineering Systems Through Artificial Neural Networks: Smart Intelligent Engineering Systems Through Artificial Neural Networks: Smart Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Programming, Data Mining and Complex Systems, Volume 9, edited by Cihan H. Programming, Data Mining and Complex Systems, Volume 9, edited by Cihan H. Dagli, Anna L. Buczak, Joydeep Ghosh, Mark Embrechts and Okan Ersoy, 1999 Dagli, Anna L. Buczak, Joydeep Ghosh, Mark Embrechts and Okan Ersoy, 1999 Intelligent Engineering Systems Through Artificial Neural Networks: Smart Intelligent Engineering Systems Through Artificial Neural Networks: Smart Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Programming, Data Mining and Complex Systems, Volume 10, edited by Cihan H. Programming, Data Mining and Complex Systems, Volume 10, edited by Cihan H. Dagli, Anna L. Buczak, Joydeep Ghosh, Mark Embrechts, Okan Ersoy and Dagli, Anna L. Buczak, Joydeep Ghosh, Mark Embrechts, Okan Ersoy and Stephen Kercel, 2000 Stephen Kercel, 2000 Downloaded From: http://ebooks.asmedigitalcollection.asme.org/ on 01/28/2016 Terms of Use: http://www.asme.org/about-asme/terms-of-use Intelligent Engineering Systems Through Artificial Neural Networks: Smart Intelligent Engineering Systems Through Artificial Neural Networks: Smart Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Programming, Data Mining and Complex Systems, Volume 11, edited by Cihan H. Programming, Data Mining and Complex Systems, Volume 11, edited by Cihan H. Dagli, Anna L. Buczak, Joydeep Ghosh, Mark Embrechts, Okan Ersoy and Dagli, Anna L. Buczak, Joydeep Ghosh, Mark Embrechts, Okan Ersoy and Stephen Kercel, 2001 Stephen Kercel, 2001 Intelligent Engineering Systems Through Artificial Neural Networks: Smart Intelligent Engineering Systems Through Artificial Neural Networks: Smart Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Programming, Complex Systems and Artificial Life, Volume 12, edited by Cihan H. Programming, Complex Systems and Artificial Life, Volume 12, edited by Cihan H. Dagli, Anna L. Buczak, Joydeep Ghosh, Mark Embrechts, Okan Ersoy and Dagli, Anna L. Buczak, Joydeep Ghosh, Mark Embrechts, Okan Ersoy and Stephen Kercel, 2002 Stephen Kercel, 2002 Intelligent Engineering Systems Through Artificial Neural Networks: Smart Intelligent Engineering Systems Through Artificial Neural Networks: Smart Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Programming, Complex Systems, and Artificial Life, Volume 13, edited by Cihan H. Programming, Complex Systems, and Artificial Life, Volume 13, edited by Cihan H. Dagli, Anna L. Buczak, Joydeep Ghosh, Mark Embrechts, and Okan Ersoy, 2003 Dagli, Anna L. Buczak, Joydeep Ghosh, Mark Embrechts, and Okan Ersoy, 2003 Intelligent Engineering Systems Through Artificial Neural Networks: Smart Intelligent Engineering Systems Through Artificial Neural Networks: Smart Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Programming, Complex Systems and Artificial Life, Volume 14, edited by Cihan H. Programming, Complex Systems and Artificial Life, Volume 14, edited by Cihan H. Dagli, Anna L. Buczak, David L. Enke, Mark Embrechts and Okan Ersoy, 2004 Dagli, Anna L. Buczak, David L. Enke, Mark Embrechts and Okan Ersoy, 2004 Intelligent Engineering Systems Through Artificial Neural Networks: Smart Intelligent Engineering Systems Through Artificial Neural Networks: Smart Engineering System Design: Neural Networks, Evolutionary Programming, Data Engineering System Design: Neural Networks, Evolutionary Programming, Data Mining, and Artificial Life, Volume 15, edited by Cihan H. Dagli, Anna L. Buczak, Mining, and Artificial Life, Volume 15, edited by Cihan H. Dagli, Anna L. Buczak, David L. Enke, Mark Embrechts, and Okan Ersoy, 2005 David L. Enke, Mark Embrechts, and Okan Ersoy, 2005 Intelligent Engineering Systems Through Artificial Neural Networks: Smart Systems Intelligent Engineering Systems Through Artificial Neural Networks: Smart Systems Engineering: Infra-Structure Systems Engineering, Bio-Informatics and Engineering: Infra-Structure Systems Engineering, Bio-Informatics and Computational Biology, Evolutionary Computation, Volume 16, edited by Cihan H. Computational Biology, Evolutionary Computation, Volume 16, edited by Cihan H. Dagli, Anna L. Buczak, David L. Enke, Mark Embrechts, and Okan Ersoy, 2006 Dagli, Anna L. Buczak, David L. Enke, Mark Embrechts, and Okan Ersoy, 2006 Intelligent Engineering Systems Through Artificial Neural Networks: Smart Systems Intelligent Engineering Systems Through Artificial Neural Networks: Smart Systems Engineering: Computational Intelligence in Architecting Complex Engineering Engineering: Computational Intelligence in Architecting Complex Engineering Systems, Volume 17, edited by Cihan H. Dagli, Anna L. Buczak, David L. Enke, Systems, Volume 17, edited by Cihan H. Dagli, Anna L. Buczak, David L. Enke, Mark Embrechts, and Okan Ersoy, 2007 Mark Embrechts, and Okan Ersoy, 2007 Intelligent Engineering Systems Through Artificial Neural Networks: Computational Intelligent Engineering Systems Through Artificial Neural Networks: Computational Intelligence in Architecting Engineering Systems, Volume 18, edited by Cihan H. Intelligence in Architecting Engineering Systems, Volume 18, edited by Cihan H. Dagli, David L. Enke, K. Mark Bryden, Halil Ceylan, and Mitsuo Gen, 2008 Dagli, David L. Enke, K. Mark Bryden, Halil Ceylan, and Mitsuo Gen, 2008 Intelligent Engineering Systems Through Artificial Neural Networks: Computational Intelligent Engineering Systems Through Artificial Neural Networks: Computational Intelligence in Architecting Complex Engineering Systems, Volume 19, edited by Intelligence in Architecting Complex Engineering Systems, Volume 19, edited by Cihan H. Dagli, K. Mark Bryden, Steven M. Corns, Mitsuo Gen, Kagan Tumer, and Cihan H. Dagli, K. Mark Bryden, Steven M. Corns, Mitsuo Gen, Kagan Tumer, and Gürsel Süer, 2009 Gürsel Süer, 2009 Intelligent Engineering Systems Through Artificial Neural Networks: Smart Intelligent Engineering Systems Through Artificial Neural Networks: Smart Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Programming, Data Mining and Complex Systems, Volume 11, edited by Cihan H. Programming, Data Mining and Complex Systems, Volume 11, edited by Cihan H. Dagli, Anna L. Buczak, Joydeep Ghosh, Mark Embrechts, Okan Ersoy and Dagli, Anna L. Buczak, Joydeep Ghosh, Mark Embrechts, Okan Ersoy and Stephen Kercel, 2001 Stephen Kercel, 2001 Intelligent Engineering Systems Through Artificial Neural Networks: Smart Intelligent Engineering Systems Through Artificial Neural Networks: Smart Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Programming, Complex Systems and Artificial Life, Volume 12, edited by Cihan H. Programming, Complex Systems and Artificial Life, Volume 12, edited by Cihan H. Dagli, Anna L. Buczak, Joydeep Ghosh, Mark Embrechts, Okan Ersoy and Dagli, Anna L. Buczak, Joydeep Ghosh, Mark Embrechts, Okan Ersoy and Stephen Kercel, 2002 Stephen Kercel, 2002 Intelligent Engineering Systems Through Artificial Neural Networks: Smart Intelligent Engineering Systems Through Artificial Neural Networks: Smart Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Programming, Complex Systems, and Artificial Life, Volume 13, edited by Cihan H. Programming, Complex Systems, and Artificial Life, Volume 13, edited by Cihan H. Dagli, Anna L. Buczak, Joydeep Ghosh, Mark Embrechts, and Okan Ersoy, 2003 Dagli, Anna L. Buczak, Joydeep Ghosh, Mark Embrechts, and Okan Ersoy, 2003 Intelligent Engineering Systems Through Artificial Neural Networks: Smart Intelligent Engineering Systems Through Artificial Neural Networks: Smart Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Programming, Complex Systems and Artificial Life, Volume 14, edited by Cihan H. Programming, Complex Systems and Artificial Life, Volume 14, edited by Cihan H. Dagli, Anna L. Buczak, David L. Enke, Mark Embrechts and Okan Ersoy, 2004 Dagli, Anna L. Buczak, David L. Enke, Mark Embrechts and Okan Ersoy, 2004 Intelligent Engineering Systems Through Artificial Neural Networks: Smart Intelligent Engineering Systems Through Artificial Neural Networks: Smart Engineering System Design: Neural Networks, Evolutionary Programming, Data Engineering System Design: Neural Networks, Evolutionary Programming, Data Mining, and Artificial Life, Volume 15, edited by Cihan H. Dagli, Anna L. Buczak, Mining, and Artificial Life, Volume 15, edited by Cihan H. Dagli, Anna L. Buczak, David L. Enke, Mark Embrechts, and Okan Ersoy, 2005 David L. Enke, Mark Embrechts, and Okan Ersoy, 2005 Intelligent Engineering Systems Through Artificial Neural Networks: Smart Systems Intelligent Engineering Systems Through Artificial Neural Networks: Smart Systems Engineering: Infra-Structure Systems Engineering, Bio-Informatics and Engineering: Infra-Structure Systems Engineering, Bio-Informatics and Computational Biology, Evolutionary Computation, Volume 16, edited by Cihan H. Computational Biology, Evolutionary Computation, Volume 16, edited by Cihan H. Dagli, Anna L. Buczak, David L. Enke, Mark Embrechts, and Okan Ersoy, 2006 Dagli, Anna L. Buczak, David L. Enke, Mark Embrechts, and Okan Ersoy, 2006 Intelligent Engineering Systems Through Artificial Neural Networks: Smart Systems Intelligent Engineering Systems Through Artificial Neural Networks: Smart Systems Engineering: Computational Intelligence in Architecting Complex Engineering Engineering: Computational Intelligence in Architecting Complex Engineering Systems, Volume 17, edited by Cihan H. Dagli, Anna L. Buczak, David L. Enke, Systems, Volume 17, edited by Cihan H. Dagli, Anna L. Buczak, David L. Enke, Mark Embrechts, and Okan Ersoy, 2007 Mark Embrechts, and Okan Ersoy, 2007 Intelligent Engineering Systems Through Artificial Neural Networks: Computational Intelligent Engineering Systems Through Artificial Neural Networks: Computational Intelligence in Architecting Engineering Systems, Volume 18, edited by Cihan H. Intelligence in Architecting Engineering Systems, Volume 18, edited by Cihan H. Dagli, David L. Enke, K. Mark Bryden, Halil Ceylan, and Mitsuo Gen, 2008 Dagli, David L. Enke, K. Mark Bryden, Halil Ceylan, and Mitsuo Gen, 2008 Intelligent Engineering Systems Through Artificial Neural Networks: Computational Intelligent Engineering Systems Through Artificial Neural Networks: Computational Intelligence in Architecting Complex Engineering Systems, Volume 19, edited by Intelligence in Architecting Complex Engineering Systems, Volume 19, edited by Cihan H. Dagli, K. Mark Bryden, Steven M. Corns, Mitsuo Gen, Kagan Tumer, and Cihan H. Dagli, K. Mark Bryden, Steven M. Corns, Mitsuo Gen, Kagan Tumer, and Gürsel Süer, 2009 Gürsel Süer, 2009 Downloaded From: http://ebooks.asmedigitalcollection.asme.org/ on 01/28/2016 Terms of Use: http://www.asme.org/about-asme/terms-of-use Downloaded From: http://ebooks.asmedigitalcollection.asme.org/ on 01/28/2016 Terms of Use: http://www.asme.org/about-asme/terms-of-use COMPUTATIONAL INTELLIGENCE IN COMPUTATIONAL INTELLIGENCE IN ARCHITECTING ENGINEERING SYSTEMS ARCHITECTING ENGINEERING SYSTEMS VOLUME 19 VOLUME 19 Proceedings of the Artificial Neural Networks in Engineering Conference Proceedings of the Artificial Neural Networks in Engineering Conference (ANNIE 2009) held November 2-4, 2009, in St. Louis, Missouri, U.S.A. (ANNIE 2009) held November 2-4, 2009, in St. Louis, Missouri, U.S.A. EDITORS EDITORS Cihan H. Dagli Cihan H. Dagli Missouri University of Science & Technology, Missouri Missouri University of Science & Technology, Missouri Rolla, Missouri Rolla, Missouri K. Mark Bryden K. Mark Bryden Iowa State University, Iowa Iowa State University, Iowa Ames, Iowa Ames, Iowa Steven M. Corns Steven M. Corns Missouri University of Science & Technology, Missouri Missouri University of Science & Technology, Missouri Rolla, Missouri Rolla, Missouri Mitsuo Gen Mitsuo Gen Waseda University, Japan Waseda University, Japan Fukuoka, Japan Fukuoka, Japan Kagan Tumer Kagan Tumer Oregon State University Oregon State University Corvallis, Oregon Corvallis, Oregon Gürsel Süer Gürsel Süer Ohio University Ohio University Athens, Ohio Athens, Ohio ASME PRESS NEW YORK 2009 ASME PRESS NEW YORK 2009 COMPUTATIONAL INTELLIGENCE IN COMPUTATIONAL INTELLIGENCE IN ARCHITECTING ENGINEERING SYSTEMS ARCHITECTING ENGINEERING SYSTEMS VOLUME 19 VOLUME 19 Proceedings of the Artificial Neural Networks in Engineering Conference Proceedings of the Artificial Neural Networks in Engineering Conference (ANNIE 2009) held November 2-4, 2009, in St. Louis, Missouri, U.S.A. (ANNIE 2009) held November 2-4, 2009, in St. Louis, Missouri, U.S.A. EDITORS EDITORS Cihan H. Dagli Cihan H. Dagli Missouri University of Science & Technology, Missouri Missouri University of Science & Technology, Missouri Rolla, Missouri Rolla, Missouri K. Mark Bryden K. Mark Bryden Iowa State University, Iowa Iowa State University, Iowa Ames, Iowa Ames, Iowa Steven M. Corns Steven M. Corns Missouri University of Science & Technology, Missouri Missouri University of Science & Technology, Missouri Rolla, Missouri Rolla, Missouri Mitsuo Gen Mitsuo Gen Waseda University, Japan Waseda University, Japan Fukuoka, Japan Fukuoka, Japan Kagan Tumer Kagan Tumer Oregon State University Oregon State University Corvallis, Oregon Corvallis, Oregon Gürsel Süer Gürsel Süer Ohio University Ohio University Athens, Ohio Athens, Ohio ASME PRESS NEW YORK 2009 ASME PRESS NEW YORK 2009 Downloaded From: http://ebooks.asmedigitalcollection.asme.org/ on 01/28/2016 Terms of Use: http://www.asme.org/about-asme/terms-of-use © 2009 by ASME, Three Park Avenue, New York, NY 10016, USA ©© 22000079 bbyy AASSMMEE,, TThhrreeee PPaarrkk AAvveennuuee,, NNeeww YYoorrkk,, NNYY 1100001166,, UUSSAA © 2007 by ASME, Three Park Avenue, New York, NY 10016, USA www.asme.org wwwwww..aassmmee..oorrgg www.asme.org All rights reserved. Printed in the United States of America. Except as AAllll rriigghhttss rreesseerrvveedd.. PPrriinntteedd iinn tthhee UUnniitteedd SSttaatteess ooff AAmmeerriiccaa.. EExxcceepptt aass All rights reserved. Printed in the United States of America. Except as permitted under the United States Copyright Act of 1976, no part of ppeerrmmiitttteedd uunnddeerr tthhee UUnniitteedd SSttaatteess CCooppyyrriigghhtt AAcctt ooff 11997766,, nnoo ppaarrtt ooff permitted under the United States Copyright Act of 1976, no part of this publication may be reproduced or distributed in any form or by tthhiiss ppuubblliiccaattiioonn mmaayy bbee rreepprroodduucceedd oorr ddiissttrriibbuutteedd iinn aannyy ffoorrmm oorr bbyy this publication may be reproduced or distributed in any form or by any means, or stored in a database or retrieval system, without the aannyy mmeeaannss,, oorr ssttoorreedd iinn aa ddaattaabbaassee oorr rreettrriieevvaall ssyysstteemm,, wwiitthhoouutt tthhee any means, or stored in a database or retrieval system, without the prior written permission of the publisher. pprriioorr wwrriitttteenn ppeerrmmiissssiioonn ooff tthhee ppuubblliisshheerr.. prior written permission of the publisher. INFORMATION CONTAINED IN THIS WORK HAS BEEN OBTAINED BY IINNFFOORRMMAATTIIOONN CCOONNTTAAIINNEEDD IINN TTHHIISS WWOORRKK HHAASS BBEEEENN OOBBTTAAIINNEEDD BBYY INFORMATION CONTAINED IN THIS WORK HAS BEEN OBTAINED BY THE AMERICAN SOCIETY OF MECHANICAL ENGINEERS FROM TTHHEE AAMMEERRIICCAANN SSOOCCIIEETTYY OOFF MMEECCHHAANNIICCAALL EENNGGIINNEEEERRSS FFRROOMM THE AMERICAN SOCIETY OF MECHANICAL ENGINEERS FROM SOURCES BELIEVED TO BE RELIABLE. HOWEVER, NEITHER ASME SSOOUURRCCEESS BBEELLIIEEVVEEDD TTOO BBEE RREELLIIAABBLLEE.. HHOOWWEEVVEERR,, NNEEIITTHHEERR AASSMMEE SOURCES BELIEVED TO BE RELIABLE. HOWEVER, NEITHER ASME NOR ITS AUTHORS OR EDITORS GUARANTEE THE ACCURACY OR NNOORR IITTSS AAUUTTHHOORRSS OORR EEDDIITTOORRSS GGUUAARRAANNTTEEEE TTHHEE AACCCCUURRAACCYY OORR NOR ITS AUTHORS OR EDITORS GUARANTEE THE ACCURACY OR COMPLETENESS OF ANY INFORMATION PUBLISHED IN THIS WORK. CCOOMMPPLLEETTEENNEESSSS OOFF AANNYY IINNFFOORRMMAATTIIOONN PPUUBBLLIISSHHEEDD IINN TTHHIISS WWOORRKK.. COMPLETENESS OF ANY INFORMATION PUBLISHED IN THIS WORK. NEITHER ASME NOR ITS AUTHORS AND EDITORS SHALL BE NNEEIITTHHEERR AASSMMEE NNOORR IITTSS AAUUTTHHOORRSS AANNDD EEDDIITTOORRSS SSHHAALLLL BBEE NEITHER ASME NOR ITS AUTHORS AND EDITORS SHALL BE RESPONSIBLE FOR ANY ERRORS, OMISSIONS, OR DAMAGES RREESSPPOONNSSIIBBLLEE FFOORR AANNYY EERRRROORRSS,, OOMMIISSSSIIOONNSS,, OORR DDAAMMAAGGEESS RESPONSIBLE FOR ANY ERRORS, OMISSIONS, OR DAMAGES ARISING OUT OF THE USE OF THIS INFORMATION. THE WORK IS AARRIISSIINNGG OOUUTT OOFF TTHHEE UUSSEE OOFF TTHHIISS IINNFFOORRMMAATTIIOONN.. TTHHEE WWOORRKK IISS ARISING OUT OF THE USE OF THIS INFORMATION. THE WORK IS PUBLISHED WITH THE UNDERSTANDING THAT ASME AND ITS PPUUBBLLIISSHHEEDD WWIITTHH TTHHEE UUNNDDEERRSSTTAANNDDIINNGG TTHHAATT AASSMMEE AANNDD IITTSS PUBLISHED WITH THE UNDERSTANDING THAT ASME AND ITS AUTHORS AND EDITORS ARE SUPPLYING INFORMATION BUT ARE AAUUTTHHOORRSS AANNDD EEDDIITTOORRSS AARREE SSUUPPPPLLYYIINNGG IINNFFOORRMMAATTIIOONN BBUUTT AARREE AUTHORS AND EDITORS ARE SUPPLYING INFORMATION BUT ARE NOT ATTEMPTING TO RENDER ENGINEERING OR OTHER NNOOTT AATTTTEEMMPPTTIINNGG TTOO RREENNDDEERR EENNGGIINNEEEERRIINNGG OORR OOTTHHEERR NOT ATTEMPTING TO RENDER ENGINEERING OR OTHER PROFESSIONAL SERVICES. IF SUCH ENGINEERING OR PPRROOFFEESSSSIIOONNAALL SSEERRVVIICCEESS.. IIFF SSUUCCHH EENNGGIINNEEEERRIINNGG OORR PROFESSIONAL SERVICES. IF SUCH ENGINEERING OR PROFESSIONAL SERVICES ARE REQUIRED, THE ASSISTANCE OF AN PPRROOFFEESSSSIIOONNAALL SSEERRVVIICCEESS AARREE RREEQQUUIIRREEDD,, TTHHEE AASSSSIISSTTAANNCCEE OOFF AANN PROFESSIONAL SERVICES ARE REQUIRED, THE ASSISTANCE OF AN APPROPRIATE PROFESSIONAL SHOULD BE SOUGHT. AAPPPPRROOPPRRIIAATTEE PPRROOFFEESSSSIIOONNAALL SSHHOOUULLDD BBEE SSOOUUGGHHTT.. APPROPRIATE PROFESSIONAL SHOULD BE SOUGHT. ASME shall not be responsible for statements or opinions advanced in AASSMMEE sshhaallll nnoott bbee rreessppoonnssiibbllee ffoorr ssttaatteemmeennttss oorr ooppiinniioonnss aaddvvaanncceedd iinn ASME shall not be responsible for statements or opinions advanced in papers or . . . printed in its publications (B7.1.3). Statement from the ppaappeerrss oorr .. .. .. pprriinntteedd iinn iittss ppuubblliiccaattiioonnss ((BB77..11..33)).. SSttaatteemmeenntt ffrroomm tthhee papers or . . . printed in its publications (B7.1.3). Statement from the Bylaws. BByyllaawwss.. Bylaws. For authorization to photocopy material for internal or personal use FFoorr aauutthhoorriizzaattiioonn ttoo pphhoottooccooppyy mmaatteerriiaall ffoorr iinntteerrnnaall oorr ppeerrssoonnaall uussee For authorization to photocopy material for internal or personal use under those circumstances not falling within the fair use provisions of uunnddeerr tthhoossee cciirrccuummssttaanncceess nnoott ffaalllliinngg wwiitthhiinn tthhee ffaaiirr uussee pprroovviissiioonnss ooff under those circumstances not falling within the fair use provisions of the Copyright Act, contact the Copyright Clearance Center (CCC), 222 tthhee CCooppyyrriigghhtt AAcctt,, ccoonnttaacctt tthhee CCooppyyrriigghhtt CClleeaarraannccee CCeenntteerr ((CCCCCC)),, 222222 the Copyright Act, contact the Copyright Clearance Center (CCC), 222 Rosewood Drive, Danvers, MA 01923, tel: 978-750-8400, RRoosseewwoooodd DDrriivvee,, DDaannvveerrss,, MMAA 0011992233,, tteell:: 997788--775500--88440000,, Rosewood Drive, Danvers, MA 01923, tel: 978-750-8400, www.copyright.com. wwwwww..ccooppyyrriigghhtt..ccoomm.. www.copyright.com. Requests for special permission or bulk reproduction should be addressed to RReeqquueessttss ffoorr ssppeecciiaall ppeerrmmiissssiioonn oorr bbuullkk rreepprroodduuccttiioonn sshhoouulldd bbee aaddddrreesssseedd ttoo Requests for special permission or bulk reproduction should be addressed to the ASME Publishing Department tthhee AASSMMEE PPuubblliisshhiinngg DDeeppaarrttmmeenntt the ASME Publishing Department Library of Congress 92-30949 LLiibbrraarryy ooff CCoonnggrreessss 9922--3300994499 Library of Congress 92-30949 ISBN: 978-0-7918-0295-3 IISSBBNN:: 09-7789-01-87-901286-50-259 5-3 ISBN: 0-7918-0265-5 ASME Order No. 802953 AASSMMEE OOrrddeerr NNoo.. 880022695553 ASME Order No. 802655 ©© 22000079 bbyy AASSMMEE,, TThhrreeee PPaarrkk AAvveennuuee,, NNeeww YYoorrkk,, NNYY 1100001166,, UUSSAA ©©©© 2222000000007779 bbbbyyyy AAAASSSSMMMMEEEE,,,, TTTThhhhrrrreeeeeeee PPPPaaaarrrrkkkk AAAAvvvveeeennnnuuuueeee,,,, NNNNeeeewwww YYYYoooorrrrkkkk,,,, NNNNYYYY 11110000000011116666,,,, UUUUSSSSAAAA ©© 22000077 bbyy AASSMMEE,, TThhrreeee PPaarrkk AAvveennuuee,, NNeeww YYoorrkk,, NNYY 1100001166,, UUSSAA wwwwww..aassmmee..oorrgg wwwwwwwwwwww....aaaassssmmmmeeee....oooorrrrgggg wwwwww..aassmmee..oorrgg AAllll rriigghhttss rreesseerrvveedd.. PPrriinntteedd iinn tthhee UUnniitteedd SSttaatteess ooff AAmmeerriiccaa.. EExxcceepptt aass AAAAllllllll rrrriiiigggghhhhttttssss rrrreeeesssseeeerrrrvvvveeeedddd.... PPPPrrrriiiinnnntttteeeedddd iiiinnnn tttthhhheeee UUUUnnnniiiitttteeeedddd SSSSttttaaaatttteeeessss ooooffff AAAAmmmmeeeerrrriiiiccccaaaa.... EEEExxxxcccceeeepppptttt aaaassss AAllll rriigghhttss rreesseerrvveedd.. PPrriinntteedd iinn tthhee UUnniitteedd SSttaatteess ooff AAmmeerriiccaa.. EExxcceepptt aass ppeerrmmiitttteedd uunnddeerr tthhee UUnniitteedd SSttaatteess CCooppyyrriigghhtt AAcctt ooff 11997766,, nnoo ppaarrtt ooff ppppeeeerrrrmmmmiiiitttttttteeeedddd uuuunnnnddddeeeerrrr tttthhhheeee UUUUnnnniiiitttteeeedddd SSSSttttaaaatttteeeessss CCCCooooppppyyyyrrrriiiigggghhhhtttt AAAAcccctttt ooooffff 1111999977776666,,,, nnnnoooo ppppaaaarrrrtttt ooooffff ppeerrmmiitttteedd uunnddeerr tthhee UUnniitteedd SSttaatteess CCooppyyrriigghhtt AAcctt ooff 11997766,, nnoo ppaarrtt ooff tthhiiss ppuubblliiccaattiioonn mmaayy bbee rreepprroodduucceedd oorr ddiissttrriibbuutteedd iinn aannyy ffoorrmm oorr bbyy tttthhhhiiiissss ppppuuuubbbblllliiiiccccaaaattttiiiioooonnnn mmmmaaaayyyy bbbbeeee rrrreeeepppprrrroooodddduuuucccceeeedddd oooorrrr ddddiiiissssttttrrrriiiibbbbuuuutttteeeedddd iiiinnnn aaaannnnyyyy ffffoooorrrrmmmm oooorrrr bbbbyyyy tthhiiss ppuubblliiccaattiioonn mmaayy bbee rreepprroodduucceedd oorr ddiissttrriibbuutteedd iinn aannyy ffoorrmm oorr bbyy aannyy mmeeaannss,, oorr ssttoorreedd iinn aa ddaattaabbaassee oorr rreettrriieevvaall ssyysstteemm,, wwiitthhoouutt tthhee aaaannnnyyyy mmmmeeeeaaaannnnssss,,,, oooorrrr ssssttttoooorrrreeeedddd iiiinnnn aaaa ddddaaaattttaaaabbbbaaaasssseeee oooorrrr rrrreeeettttrrrriiiieeeevvvvaaaallll ssssyyyysssstttteeeemmmm,,,, wwwwiiiitttthhhhoooouuuutttt tttthhhheeee aannyy mmeeaannss,, oorr ssttoorreedd iinn aa ddaattaabbaassee oorr rreettrriieevvaall ssyysstteemm,, wwiitthhoouutt tthhee pprriioorr wwrriitttteenn ppeerrmmiissssiioonn ooff tthhee ppuubblliisshheerr.. pppprrrriiiioooorrrr wwwwrrrriiiitttttttteeeennnn ppppeeeerrrrmmmmiiiissssssssiiiioooonnnn ooooffff tttthhhheeee ppppuuuubbbblllliiiisssshhhheeeerrrr.... pprriioorr wwrriitttteenn ppeerrmmiissssiioonn ooff tthhee ppuubblliisshheerr.. IINNFFOORRMMAATTIIOONN CCOONNTTAAIINNEEDD IINN TTHHIISS WWOORRKK HHAASS BBEEEENN OOBBTTAAIINNEEDD BBYY IIIINNNNFFFFOOOORRRRMMMMAAAATTTTIIIIOOOONNNN CCCCOOOONNNNTTTTAAAAIIIINNNNEEEEDDDD IIIINNNN TTTTHHHHIIIISSSS WWWWOOOORRRRKKKK HHHHAAAASSSS BBBBEEEEEEEENNNN OOOOBBBBTTTTAAAAIIIINNNNEEEEDDDD BBBBYYYY IINNFFOORRMMAATTIIOONN CCOONNTTAAIINNEEDD IINN TTHHIISS WWOORRKK HHAASS BBEEEENN OOBBTTAAIINNEEDD BBYY TTHHEE AAMMEERRIICCAANN SSOOCCIIEETTYY OOFF MMEECCHHAANNIICCAALL EENNGGIINNEEEERRSS FFRROOMM TTTTHHHHEEEE AAAAMMMMEEEERRRRIIIICCCCAAAANNNN SSSSOOOOCCCCIIIIEEEETTTTYYYY OOOOFFFF MMMMEEEECCCCHHHHAAAANNNNIIIICCCCAAAALLLL EEEENNNNGGGGIIIINNNNEEEEEEEERRRRSSSS FFFFRRRROOOOMMMM TTHHEE AAMMEERRIICCAANN SSOOCCIIEETTYY OOFF MMEECCHHAANNIICCAALL EENNGGIINNEEEERRSS FFRROOMM SSOOUURRCCEESS BBEELLIIEEVVEEDD TTOO BBEE RREELLIIAABBLLEE.. HHOOWWEEVVEERR,, NNEEIITTHHEERR AASSMMEE SSSSOOOOUUUURRRRCCCCEEEESSSS BBBBEEEELLLLIIIIEEEEVVVVEEEEDDDD TTTTOOOO BBBBEEEE RRRREEEELLLLIIIIAAAABBBBLLLLEEEE.... HHHHOOOOWWWWEEEEVVVVEEEERRRR,,,, NNNNEEEEIIIITTTTHHHHEEEERRRR AAAASSSSMMMMEEEE SSOOUURRCCEESS BBEELLIIEEVVEEDD TTOO BBEE RREELLIIAABBLLEE.. HHOOWWEEVVEERR,, NNEEIITTHHEERR AASSMMEE NNOORR IITTSS AAUUTTHHOORRSS OORR EEDDIITTOORRSS GGUUAARRAANNTTEEEE TTHHEE AACCCCUURRAACCYY OORR NNNNOOOORRRR IIIITTTTSSSS AAAAUUUUTTTTHHHHOOOORRRRSSSS OOOORRRR EEEEDDDDIIIITTTTOOOORRRRSSSS GGGGUUUUAAAARRRRAAAANNNNTTTTEEEEEEEE TTTTHHHHEEEE AAAACCCCCCCCUUUURRRRAAAACCCCYYYY OOOORRRR NNOORR IITTSS AAUUTTHHOORRSS OORR EEDDIITTOORRSS GGUUAARRAANNTTEEEE TTHHEE AACCCCUURRAACCYY OORR CCOOMMPPLLEETTEENNEESSSS OOFF AANNYY IINNFFOORRMMAATTIIOONN PPUUBBLLIISSHHEEDD IINN TTHHIISS WWOORRKK.. CCCCOOOOMMMMPPPPLLLLEEEETTTTEEEENNNNEEEESSSSSSSS OOOOFFFF AAAANNNNYYYY IIIINNNNFFFFOOOORRRRMMMMAAAATTTTIIIIOOOONNNN PPPPUUUUBBBBLLLLIIIISSSSHHHHEEEEDDDD IIIINNNN TTTTHHHHIIIISSSS WWWWOOOORRRRKKKK.... CCOOMMPPLLEETTEENNEESSSS OOFF AANNYY IINNFFOORRMMAATTIIOONN PPUUBBLLIISSHHEEDD IINN TTHHIISS WWOORRKK.. NNEEIITTHHEERR AASSMMEE NNOORR IITTSS AAUUTTHHOORRSS AANNDD EEDDIITTOORRSS SSHHAALLLL BBEE NNNNEEEEIIIITTTTHHHHEEEERRRR AAAASSSSMMMMEEEE NNNNOOOORRRR IIIITTTTSSSS AAAAUUUUTTTTHHHHOOOORRRRSSSS AAAANNNNDDDD EEEEDDDDIIIITTTTOOOORRRRSSSS SSSSHHHHAAAALLLLLLLL BBBBEEEE NNEEIITTHHEERR AASSMMEE NNOORR IITTSS AAUUTTHHOORRSS AANNDD EEDDIITTOORRSS SSHHAALLLL BBEE RREESSPPOONNSSIIBBLLEE FFOORR AANNYY EERRRROORRSS,, OOMMIISSSSIIOONNSS,, OORR DDAAMMAAGGEESS RRRREEEESSSSPPPPOOOONNNNSSSSIIIIBBBBLLLLEEEE FFFFOOOORRRR AAAANNNNYYYY EEEERRRRRRRROOOORRRRSSSS,,,, OOOOMMMMIIIISSSSSSSSIIIIOOOONNNNSSSS,,,, OOOORRRR DDDDAAAAMMMMAAAAGGGGEEEESSSS RREESSPPOONNSSIIBBLLEE FFOORR AANNYY EERRRROORRSS,, OOMMIISSSSIIOONNSS,, OORR DDAAMMAAGGEESS AARRIISSIINNGG OOUUTT OOFF TTHHEE UUSSEE OOFF TTHHIISS IINNFFOORRMMAATTIIOONN.. TTHHEE WWOORRKK IISS AAAARRRRIIIISSSSIIIINNNNGGGG OOOOUUUUTTTT OOOOFFFF TTTTHHHHEEEE UUUUSSSSEEEE OOOOFFFF TTTTHHHHIIIISSSS IIIINNNNFFFFOOOORRRRMMMMAAAATTTTIIIIOOOONNNN.... TTTTHHHHEEEE WWWWOOOORRRRKKKK IIIISSSS AARRIISSIINNGG OOUUTT OOFF TTHHEE UUSSEE OOFF TTHHIISS IINNFFOORRMMAATTIIOONN.. TTHHEE WWOORRKK IISS PPUUBBLLIISSHHEEDD WWIITTHH TTHHEE UUNNDDEERRSSTTAANNDDIINNGG TTHHAATT AASSMMEE AANNDD IITTSS PPPPUUUUBBBBLLLLIIIISSSSHHHHEEEEDDDD WWWWIIIITTTTHHHH TTTTHHHHEEEE UUUUNNNNDDDDEEEERRRRSSSSTTTTAAAANNNNDDDDIIIINNNNGGGG TTTTHHHHAAAATTTT AAAASSSSMMMMEEEE AAAANNNNDDDD IIIITTTTSSSS PPUUBBLLIISSHHEEDD WWIITTHH TTHHEE UUNNDDEERRSSTTAANNDDIINNGG TTHHAATT AASSMMEE AANNDD IITTSS AAUUTTHHOORRSS AANNDD EEDDIITTOORRSS AARREE SSUUPPPPLLYYIINNGG IINNFFOORRMMAATTIIOONN BBUUTT AARREE AAAAUUUUTTTTHHHHOOOORRRRSSSS AAAANNNNDDDD EEEEDDDDIIIITTTTOOOORRRRSSSS AAAARRRREEEE SSSSUUUUPPPPPPPPLLLLYYYYIIIINNNNGGGG IIIINNNNFFFFOOOORRRRMMMMAAAATTTTIIIIOOOONNNN BBBBUUUUTTTT AAAARRRREEEE AAUUTTHHOORRSS AANNDD EEDDIITTOORRSS AARREE SSUUPPPPLLYYIINNGG IINNFFOORRMMAATTIIOONN BBUUTT AARREE NNOOTT AATTTTEEMMPPTTIINNGG TTOO RREENNDDEERR EENNGGIINNEEEERRIINNGG OORR OOTTHHEERR NNNNOOOOTTTT AAAATTTTTTTTEEEEMMMMPPPPTTTTIIIINNNNGGGG TTTTOOOO RRRREEEENNNNDDDDEEEERRRR EEEENNNNGGGGIIIINNNNEEEEEEEERRRRIIIINNNNGGGG OOOORRRR OOOOTTTTHHHHEEEERRRR NNOOTT AATTTTEEMMPPTTIINNGG TTOO RREENNDDEERR EENNGGIINNEEEERRIINNGG OORR OOTTHHEERR PPRROOFFEESSSSIIOONNAALL SSEERRVVIICCEESS.. IIFF SSUUCCHH EENNGGIINNEEEERRIINNGG OORR PPPPRRRROOOOFFFFEEEESSSSSSSSIIIIOOOONNNNAAAALLLL SSSSEEEERRRRVVVVIIIICCCCEEEESSSS.... IIIIFFFF SSSSUUUUCCCCHHHH EEEENNNNGGGGIIIINNNNEEEEEEEERRRRIIIINNNNGGGG OOOORRRR PPRROOFFEESSSSIIOONNAALL SSEERRVVIICCEESS.. IIFF SSUUCCHH EENNGGIINNEEEERRIINNGG OORR PPRROOFFEESSSSIIOONNAALL SSEERRVVIICCEESS AARREE RREEQQUUIIRREEDD,, TTHHEE AASSSSIISSTTAANNCCEE OOFF AANN PPPPRRRROOOOFFFFEEEESSSSSSSSIIIIOOOONNNNAAAALLLL SSSSEEEERRRRVVVVIIIICCCCEEEESSSS AAAARRRREEEE RRRREEEEQQQQUUUUIIIIRRRREEEEDDDD,,,, TTTTHHHHEEEE AAAASSSSSSSSIIIISSSSTTTTAAAANNNNCCCCEEEE OOOOFFFF AAAANNNN PPRROOFFEESSSSIIOONNAALL SSEERRVVIICCEESS AARREE RREEQQUUIIRREEDD,, TTHHEE AASSSSIISSTTAANNCCEE OOFF AANN AAPPPPRROOPPRRIIAATTEE PPRROOFFEESSSSIIOONNAALL SSHHOOUULLDD BBEE SSOOUUGGHHTT.. AAAAPPPPPPPPRRRROOOOPPPPRRRRIIIIAAAATTTTEEEE PPPPRRRROOOOFFFFEEEESSSSSSSSIIIIOOOONNNNAAAALLLL SSSSHHHHOOOOUUUULLLLDDDD BBBBEEEE SSSSOOOOUUUUGGGGHHHHTTTT.... AAPPPPRROOPPRRIIAATTEE PPRROOFFEESSSSIIOONNAALL SSHHOOUULLDD BBEE SSOOUUGGHHTT.. AASSMMEE sshhaallll nnoott bbee rreessppoonnssiibbllee ffoorr ssttaatteemmeennttss oorr ooppiinniioonnss aaddvvaanncceedd iinn AAAASSSSMMMMEEEE sssshhhhaaaallllllll nnnnooootttt bbbbeeee rrrreeeessssppppoooonnnnssssiiiibbbblllleeee ffffoooorrrr ssssttttaaaatttteeeemmmmeeeennnnttttssss oooorrrr ooooppppiiiinnnniiiioooonnnnssss aaaaddddvvvvaaaannnncccceeeedddd iiiinnnn AASSMMEE sshhaallll nnoott bbee rreessppoonnssiibbllee ffoorr ssttaatteemmeennttss oorr ooppiinniioonnss aaddvvaanncceedd iinn ppaappeerrss oorr .. .. .. pprriinntteedd iinn iittss ppuubblliiccaattiioonnss ((BB77..11..33)).. SSttaatteemmeenntt ffrroomm tthhee ppppaaaappppeeeerrrrssss oooorrrr .... .... .... pppprrrriiiinnnntttteeeedddd iiiinnnn iiiittttssss ppppuuuubbbblllliiiiccccaaaattttiiiioooonnnnssss ((((BBBB7777....1111....3333)))).... SSSSttttaaaatttteeeemmmmeeeennnntttt ffffrrrroooommmm tttthhhheeee ppaappeerrss oorr .. .. .. pprriinntteedd iinn iittss ppuubblliiccaattiioonnss ((BB77..11..33)).. SSttaatteemmeenntt ffrroomm tthhee BByyllaawwss.. BBBByyyyllllaaaawwwwssss.... BByyllaawwss.. FFoorr aauutthhoorriizzaattiioonn ttoo pphhoottooccooppyy mmaatteerriiaall ffoorr iinntteerrnnaall oorr ppeerrssoonnaall uussee FFFFoooorrrr aaaauuuutttthhhhoooorrrriiiizzzzaaaattttiiiioooonnnn ttttoooo pppphhhhoooottttooooccccooooppppyyyy mmmmaaaatttteeeerrrriiiiaaaallll ffffoooorrrr iiiinnnntttteeeerrrrnnnnaaaallll oooorrrr ppppeeeerrrrssssoooonnnnaaaallll uuuusssseeee FFoorr aauutthhoorriizzaattiioonn ttoo pphhoottooccooppyy mmaatteerriiaall ffoorr iinntteerrnnaall oorr ppeerrssoonnaall uussee uunnddeerr tthhoossee cciirrccuummssttaanncceess nnoott ffaalllliinngg wwiitthhiinn tthhee ffaaiirr uussee pprroovviissiioonnss ooff uuuunnnnddddeeeerrrr tttthhhhoooosssseeee cccciiiirrrrccccuuuummmmssssttttaaaannnncccceeeessss nnnnooootttt ffffaaaalllllllliiiinnnngggg wwwwiiiitttthhhhiiiinnnn tttthhhheeee ffffaaaaiiiirrrr uuuusssseeee pppprrrroooovvvviiiissssiiiioooonnnnssss ooooffff uunnddeerr tthhoossee cciirrccuummssttaanncceess nnoott ffaalllliinngg wwiitthhiinn tthhee ffaaiirr uussee pprroovviissiioonnss ooff tthhee CCooppyyrriigghhtt AAcctt,, ccoonnttaacctt tthhee CCooppyyrriigghhtt CClleeaarraannccee CCeenntteerr ((CCCCCC)),, 222222 tttthhhheeee CCCCooooppppyyyyrrrriiiigggghhhhtttt AAAAcccctttt,,,, ccccoooonnnnttttaaaacccctttt tttthhhheeee CCCCooooppppyyyyrrrriiiigggghhhhtttt CCCClllleeeeaaaarrrraaaannnncccceeee CCCCeeeennnntttteeeerrrr ((((CCCCCCCCCCCC)))),,,, 222222222222 tthhee CCooppyyrriigghhtt AAcctt,, ccoonnttaacctt tthhee CCooppyyrriigghhtt CClleeaarraannccee CCeenntteerr ((CCCCCC)),, 222222 RRoosseewwoooodd DDrriivvee,, DDaannvveerrss,, MMAA 0011992233,, tteell:: 997788--775500--88440000,, RRRRoooosssseeeewwwwoooooooodddd DDDDrrrriiiivvvveeee,,,, DDDDaaaannnnvvvveeeerrrrssss,,,, MMMMAAAA 00001111999922223333,,,, tttteeeellll:::: 999977778888----777755550000----8888444400000000,,,, RRoosseewwoooodd DDrriivvee,, DDaannvveerrss,, MMAA 0011992233,, tteell:: 997788--775500--88440000,, wwwwww..ccooppyyrriigghhtt..ccoomm.. wwwwwwwwwwww....ccccooooppppyyyyrrrriiiigggghhhhtttt....ccccoooommmm.... wwwwww..ccooppyyrriigghhtt..ccoomm.. RReeqquueessttss ffoorr ssppeecciiaall ppeerrmmiissssiioonn oorr bbuullkk rreepprroodduuccttiioonn sshhoouulldd bbee aaddddrreesssseedd ttoo RRRReeeeqqqquuuueeeessssttttssss ffffoooorrrr ssssppppeeeecccciiiiaaaallll ppppeeeerrrrmmmmiiiissssssssiiiioooonnnn oooorrrr bbbbuuuullllkkkk rrrreeeepppprrrroooodddduuuuccccttttiiiioooonnnn sssshhhhoooouuuulllldddd bbbbeeee aaaaddddddddrrrreeeesssssssseeeedddd ttttoooo RReeqquueessttss ffoorr ssppeecciiaall ppeerrmmiissssiioonn oorr bbuullkk rreepprroodduuccttiioonn sshhoouulldd bbee aaddddrreesssseedd ttoo tthhee AASSMMEE PPuubblliisshhiinngg DDeeppaarrttmmeenntt tttthhhheeee AAAASSSSMMMMEEEE PPPPuuuubbbblllliiiisssshhhhiiiinnnngggg DDDDeeeeppppaaaarrrrttttmmmmeeeennnntttt tthhee AASSMMEE PPuubblliisshhiinngg DDeeppaarrttmmeenntt LLiibbrraarryy ooff CCoonnggrreessss 9922--3300994499 LLLLiiiibbbbrrrraaaarrrryyyy ooooffff CCCCoooonnnnggggrrrreeeessssssss 99992222----33330000999944449999 LLiibbrraarryy ooff CCoonnggrreessss 9922--3300994499 IISSBBNN:: 09-7789-01-87-901286-50-259 5-3 IIIISSSSBBBBNNNN:::: 0009---77778999-0111-8887---900012228666-5550---25559 5-3 IISSBBNN:: 00--77991188--00226655--55 AASSMMEE OOrrddeerr NNoo.. 880022695553 AAAASSSSMMMMEEEE OOOOrrrrddddeeeerrrr NNNNoooo.... 888800002222666955555553 AASSMMEE OOrrddeerr NNoo.. 880022665555 Downloaded From: http://ebooks.asmedigitalcollection.asme.org/ on 01/28/2016 Terms of Use: http://www.asme.org/about-asme/terms-of-use © 2007 by ASME, Three Park Avenue, New York, NY 10016, USA ©© 22000077 bbyy AASSMMEE,, TThhrreeee PPaarrkk AAvveennuuee,, NNeeww YYoorrkk,, NNYY 1100001166,, UUSSAA © 2007 by ASME, Three Park Avenue, New York, NY 10016, USA www.asme.org wwwwww..aassmmee..oorrgg www.asme.org All rights reserved. Printed in the United States of America. Except as AAllll rriigghhttss rreesseerrvveedd.. PPrriinntteedd iinn tthhee UUnniitteedd SSttaatteess ooff AAmmeerriiccaa.. EExxcceepptt aass All rights reserved. Printed in the United States of America. Except as permitted under the United States Copyright Act of 1976, no part of ppeerrmmiitttteedd uunnddeerr tthhee UUnniitteedd SSttaatteess CCooppyyrriigghhtt AAcctt ooff 11997766,, nnoo ppaarrtt ooff permitted under the United States Copyright Act of 1976, no part of this publication may be reproduced or distributed in any form or by tthhiiss ppuubblliiccaattiioonn mmaayy bbee rreepprroodduucceedd oorr ddiissttrriibbuutteedd iinn aannyy ffoorrmm oorr bbyy this publication may be reproduced or distributed in any form or by any means, or stored in a database or retrieval system, without the aannyy mmeeaannss,, oorr ssttoorreedd iinn aa ddaattaabbaassee oorr rreettrriieevvaall ssyysstteemm,, wwiitthhoouutt tthhee any means, or stored in a database or retrieval system, without the prior written permission of the publisher. pprriioorr wwrriitttteenn ppeerrmmiissssiioonn ooff tthhee ppuubblliisshheerr.. prior written permission of the publisher. INFORMATION CONTAINED IN THIS WORK HAS BEEN OBTAINED BY IINNFFOORRMMAATTIIOONN CCOONNTTAAIINNEEDD IINN TTHHIISS WWOORRKK HHAASS BBEEEENN OOBBTTAAIINNEEDD BBYY INFORMATION CONTAINED IN THIS WORK HAS BEEN OBTAINED BY THE AMERICAN SOCIETY OF MECHANICAL ENGINEERS FROM TTHHEE AAMMEERRIICCAANN SSOOCCIIEETTYY OOFF MMEECCHHAANNIICCAALL EENNGGIINNEEEERRSS FFRROOMM THE AMERICAN SOCIETY OF MECHANICAL ENGINEERS FROM SOURCES BELIEVED TO BE RELIABLE. HOWEVER, NEITHER ASME SSOOUURRCCEESS BBEELLIIEEVVEEDD TTOO BBEE RREELLIIAABBLLEE.. HHOOWWEEVVEERR,, NNEEIITTHHEERR AASSMMEE SOURCES BELIEVED TO BE RELIABLE. HOWEVER, NEITHER ASME NOR ITS AUTHORS OR EDITORS GUARANTEE THE ACCURACY OR NNOORR IITTSS AAUUTTHHOORRSS OORR EEDDIITTOORRSS GGUUAARRAANNTTEEEE TTHHEE AACCCCUURRAACCYY OORR NOR ITS AUTHORS OR EDITORS GUARANTEE THE ACCURACY OR COMPLETENESS OF ANY INFORMATION PUBLISHED IN THIS WORK. CCOOMMPPLLEETTEENNEESSSS OOFF AANNYY IINNFFOORRMMAATTIIOONN PPUUBBLLIISSHHEEDD IINN TTHHIISS WWOORRKK.. COMPLETENESS OF ANY INFORMATION PUBLISHED IN THIS WORK. NEITHER ASME NOR ITS AUTHORS AND EDITORS SHALL BE NNEEIITTHHEERR AASSMMEE NNOORR IITTSS AAUUTTHHOORRSS AANNDD EEDDIITTOORRSS SSHHAALLLL BBEE NEITHER ASME NOR ITS AUTHORS AND EDITORS SHALL BE RESPONSIBLE FOR ANY ERRORS, OMISSIONS, OR DAMAGES RREESSPPOONNSSIIBBLLEE FFOORR AANNYY EERRRROORRSS,, OOMMIISSSSIIOONNSS,, OORR DDAAMMAAGGEESS RESPONSIBLE FOR ANY ERRORS, OMISSIONS, OR DAMAGES ARISING OUT OF THE USE OF THIS INFORMATION. THE WORK IS AARRIISSIINNGG OOUUTT OOFF TTHHEE UUSSEE OOFF TTHHIISS IINNFFOORRMMAATTIIOONN.. TTHHEE WWOORRKK IISS ARISING OUT OF THE USE OF THIS INFORMATION. THE WORK IS PUBLISHED WITH THE UNDERSTANDING THAT ASME AND ITS PPUUBBLLIISSHHEEDD WWIITTHH TTHHEE UUNNDDEERRSSTTAANNDDIINNGG TTHHAATT AASSMMEE AANNDD IITTSS PUBLISHED WITH THE UNDERSTANDING THAT ASME AND ITS AUTHORS AND EDITORS ARE SUPPLYING INFORMATION BUT ARE AAUUTTHHOORRSS AANNDD EEDDIITTOORRSS AARREE SSUUPPPPLLYYIINNGG IINNFFOORRMMAATTIIOONN BBUUTT AARREE AUTHORS AND EDITORS ARE SUPPLYING INFORMATION BUT ARE NOT ATTEMPTING TO RENDER ENGINEERING OR OTHER NNOOTT AATTTTEEMMPPTTIINNGG TTOO RREENNDDEERR EENNGGIINNEEEERRIINNGG OORR OOTTHHEERR NOT ATTEMPTING TO RENDER ENGINEERING OR OTHER PROFESSIONAL SERVICES. IF SUCH ENGINEERING OR PPRROOFFEESSSSIIOONNAALL SSEERRVVIICCEESS.. IIFF SSUUCCHH EENNGGIINNEEEERRIINNGG OORR PROFESSIONAL SERVICES. IF SUCH ENGINEERING OR PROFESSIONAL SERVICES ARE REQUIRED, THE ASSISTANCE OF AN PPRROOFFEESSSSIIOONNAALL SSEERRVVIICCEESS AARREE RREEQQUUIIRREEDD,, TTHHEE AASSSSIISSTTAANNCCEE OOFF AANN PROFESSIONAL SERVICES ARE REQUIRED, THE ASSISTANCE OF AN APPROPRIATE PROFESSIONAL SHOULD BE SOUGHT. AAPPPPRROOPPRRIIAATTEE PPRROOFFEESSSSIIOONNAALL SSHHOOUULLDD BBEE SSOOUUGGHHTT.. APPROPRIATE PROFESSIONAL SHOULD BE SOUGHT. ASME shall not be responsible for statements or opinions advanced in AASSMMEE sshhaallll nnoott bbee rreessppoonnssiibbllee ffoorr ssttaatteemmeennttss oorr ooppiinniioonnss aaddvvaanncceedd iinn ASME shall not be responsible for statements or opinions advanced in papers or . . . printed in its publications (B7.1.3). Statement from the ppaappeerrss oorr .. .. .. pprriinntteedd iinn iittss ppuubblliiccaattiioonnss ((BB77..11..33)).. SSttaatteemmeenntt ffrroomm tthhee papers or . . . printed in its publications (B7.1.3). Statement from the Bylaws. BByyllaawwss.. Bylaws. For authorization to photocopy material for internal or personal use FFoorr aauutthhoorriizzaattiioonn ttoo pphhoottooccooppyy mmaatteerriiaall ffoorr iinntteerrnnaall oorr ppeerrssoonnaall uussee For authorization to photocopy material for internal or personal use under those circumstances not falling within the fair use provisions of uunnddeerr tthhoossee cciirrccuummssttaanncceess nnoott ffaalllliinngg wwiitthhiinn tthhee ffaaiirr uussee pprroovviissiioonnss ooff under those circumstances not falling within the fair use provisions of the Copyright Act, contact the Copyright Clearance Center (CCC), 222 tthhee CCooppyyrriigghhtt AAcctt,, ccoonnttaacctt tthhee CCooppyyrriigghhtt CClleeaarraannccee CCeenntteerr ((CCCCCC)),, 222222 the Copyright Act, contact the Copyright Clearance Center (CCC), 222 Rosewood Drive, Danvers, MA 01923, tel: 978-750-8400, RRoosseewwoooodd DDrriivvee,, DDaannvveerrss,, MMAA 0011992233,, tteell:: 997788--775500--88440000,, Rosewood Drive, Danvers, MA 01923, tel: 978-750-8400, www.copyright.com. wwwwww..ccooppyyrriigghhtt..ccoomm.. www.copyright.com. Requests for special permission or bulk reproduction should be addressed to RReeqquueessttss ffoorr ssppeecciiaall ppeerrmmiissssiioonn oorr bbuullkk rreepprroodduuccttiioonn sshhoouulldd bbee aaddddrreesssseedd ttoo Requests for special permission or bulk reproduction should be addressed to the ASME Publishing Department tthhee AASSMMEE PPuubblliisshhiinngg DDeeppaarrttmmeenntt the ASME Publishing Department Library of Congress 92-30949 LLiibbrraarryy ooff CCoonnggrreessss 9922--3300994499 Library of Congress 92-30949 ISBN: 0-7918-0265-5 IISSBBNN:: 00--77991188--00226655--55 ISBN: 0-7918-0265-5 ASME Order No. 802655 AASSMMEE OOrrddeerr NNoo.. 880022665555 ASME Order No. 802655 vii vii Contents Contents Preface Preface Part I: Architecting Complex Engineering Systems 1 Part I: Architecting Complex Engineering Systems 1 A Neural Network Approach to Modeling System Integration Sensitivity 3 A Neural Network Approach to Modeling System Integration Sensitivity 3 For Architectural Assessment For Architectural Assessment Jason P. Dauby, Cihan H. Dagli Jason P. Dauby, Cihan H. Dagli Coupled Non-Homogeneous Chaos Synchronization 11 Coupled Non-Homogeneous Chaos Synchronization 11 Davoud Arasteh Davoud Arasteh The Algorithm of Temporal Locality for Nonlinear Analysis of Chaotic 19 The Algorithm of Temporal Locality for Nonlinear Analysis of Chaotic 19 Signals Mapped Through Multidimensional Phase Space Signals Mapped Through Multidimensional Phase Space Victor F. Dailyudenko Victor F. Dailyudenko Induction of Virtual Sensors with Function Stacks 27 Induction of Virtual Sensors with Function Stacks 27 Daniel Ashlock, Adam Shuttleworth, Kenneth M. Bryden Daniel Ashlock, Adam Shuttleworth, Kenneth M. Bryden Real-Time Prediction Using Kernel Methods and Data Assimilation 35 Real-Time Prediction Using Kernel Methods and Data Assimilation 35 Robin C. Gilbert, Theodore B. Trafalis Robin C. Gilbert, Theodore B. Trafalis Michael B. Richman, S. Lakshmivarahan Michael B. Richman, S. Lakshmivarahan Weak Key Analysis of Cellular Automata-Based Random Number 43 Weak Key Analysis of Cellular Automata-Based Random Number 43 Generation and Secret Key Cryptography Generation and Secret Key Cryptography Frederic Pinel, Pascal Bouvry, Franciszek Seredynski Frederic Pinel, Pascal Bouvry, Franciszek Seredynski Parasom: An Efficient Self-Organizing Map for Parallel Multidimensional 51 Parasom: An Efficient Self-Organizing Map for Parallel Multidimensional 51 Input Processing and Clustering Input Processing and Clustering Iren Valova, Daniel MacLean, Derek Beaton Iren Valova, Daniel MacLean, Derek Beaton Threat Anticipation and Deceptive Reasoning Using Bayesian Belief Networks 59 Threat Anticipation and Deceptive Reasoning Using Bayesian Belief Networks 59 Glenn O. Allgood, Mohammed M. Olama, Joe E. Lake Glenn O. Allgood, Mohammed M. Olama, Joe E. Lake Modeling and Performance Evaluation for Aviation Security Cargo 67 Modeling and Performance Evaluation for Aviation Security Cargo 67 Inspection Queuing System Inspection Queuing System Glenn O. Allgood, Mohammed M. Olama Glenn O. Allgood, Mohammed M. Olama Terri A. Rose, Daryl Brumback Terri A. Rose, Daryl Brumback Self-Organized Kernel Fuzzy Clustering Method and Its Evaluation 75 Self-Organized Kernel Fuzzy Clustering Method and Its Evaluation 75 For the Number of Clusters Based on Alignment of Similarities For the Number of Clusters Based on Alignment of Similarities Mika Sato-Ilic, Tomoyuki Kuwata Mika Sato-Ilic, Tomoyuki Kuwata Optimization of Modular Neural Networks with Type-2 Fuzzy Integration Using 83 Optimization of Modular Neural Networks with Type-2 Fuzzy Integration Using 83 General Evolutionary Method with Application In Multimodal Biometry General Evolutionary Method with Application In Multimodal Biometry Denisse Hidalgo, Patricia Melin Denisse Hidalgo, Patricia Melin Guillermo Licea, Oscar Castillo Guillermo Licea, Oscar Castillo A Search for Barker Like Ternary Sequences for Direct Sequence CDMA 91 A Search for Barker Like Ternary Sequences for Direct Sequence CDMA 91 N. Rajaiah, K. Subba Rao N. Rajaiah, K. Subba Rao vii vii Contents Contents Preface Preface Part I: Architecting Complex Engineering Systems 1 Part I: Architecting Complex Engineering Systems 1 A Neural Network Approach to Modeling System Integration Sensitivity 3 A Neural Network Approach to Modeling System Integration Sensitivity 3 For Architectural Assessment For Architectural Assessment Jason P. Dauby, Cihan H. Dagli Jason P. Dauby, Cihan H. Dagli Coupled Non-Homogeneous Chaos Synchronization 11 Coupled Non-Homogeneous Chaos Synchronization 11 Davoud Arasteh Davoud Arasteh The Algorithm of Temporal Locality for Nonlinear Analysis of Chaotic 19 The Algorithm of Temporal Locality for Nonlinear Analysis of Chaotic 19 Signals Mapped Through Multidimensional Phase Space Signals Mapped Through Multidimensional Phase Space Victor F. Dailyudenko Victor F. Dailyudenko Induction of Virtual Sensors with Function Stacks 27 Induction of Virtual Sensors with Function Stacks 27 Daniel Ashlock, Adam Shuttleworth, Kenneth M. Bryden Daniel Ashlock, Adam Shuttleworth, Kenneth M. Bryden Real-Time Prediction Using Kernel Methods and Data Assimilation 35 Real-Time Prediction Using Kernel Methods and Data Assimilation 35 Robin C. Gilbert, Theodore B. Trafalis Robin C. Gilbert, Theodore B. Trafalis Michael B. Richman, S. Lakshmivarahan Michael B. Richman, S. Lakshmivarahan Weak Key Analysis of Cellular Automata-Based Random Number 43 Weak Key Analysis of Cellular Automata-Based Random Number 43 Generation and Secret Key Cryptography Generation and Secret Key Cryptography Frederic Pinel, Pascal Bouvry, Franciszek Seredynski Frederic Pinel, Pascal Bouvry, Franciszek Seredynski Parasom: An Efficient Self-Organizing Map for Parallel Multidimensional 51 Parasom: An Efficient Self-Organizing Map for Parallel Multidimensional 51 Input Processing and Clustering Input Processing and Clustering Iren Valova, Daniel MacLean, Derek Beaton Iren Valova, Daniel MacLean, Derek Beaton Threat Anticipation and Deceptive Reasoning Using Bayesian Belief Networks 59 Threat Anticipation and Deceptive Reasoning Using Bayesian Belief Networks 59 Glenn O. Allgood, Mohammed M. Olama, Joe E. Lake Glenn O. Allgood, Mohammed M. Olama, Joe E. Lake Modeling and Performance Evaluation for Aviation Security Cargo 67 Modeling and Performance Evaluation for Aviation Security Cargo 67 Inspection Queuing System Inspection Queuing System Glenn O. Allgood, Mohammed M. Olama Glenn O. Allgood, Mohammed M. Olama Terri A. Rose, Daryl Brumback Terri A. Rose, Daryl Brumback Self-Organized Kernel Fuzzy Clustering Method and Its Evaluation 75 Self-Organized Kernel Fuzzy Clustering Method and Its Evaluation 75 For the Number of Clusters Based on Alignment of Similarities For the Number of Clusters Based on Alignment of Similarities Mika Sato-Ilic, Tomoyuki Kuwata Mika Sato-Ilic, Tomoyuki Kuwata Optimization of Modular Neural Networks with Type-2 Fuzzy Integration Using 83 Optimization of Modular Neural Networks with Type-2 Fuzzy Integration Using 83 General Evolutionary Method with Application In Multimodal Biometry General Evolutionary Method with Application In Multimodal Biometry Denisse Hidalgo, Patricia Melin Denisse Hidalgo, Patricia Melin Guillermo Licea, Oscar Castillo Guillermo Licea, Oscar Castillo A Search for Barker Like Ternary Sequences for Direct Sequence CDMA 91 A Search for Barker Like Ternary Sequences for Direct Sequence CDMA 91 N. Rajaiah, K. Subba Rao N. Rajaiah, K. Subba Rao Downloaded From: http://ebooks.asmedigitalcollection.asme.org/ on 01/28/2016 Terms of Use: http://www.asme.org/about-asme/terms-of-use viii viii Part II: Infrastructure Systems 97 Part II: Infrastructure Systems 97 Non-Linear Inverse Analysis of Transportation Structures Using Neuro-Adaptive 99 Non-Linear Inverse Analysis of Transportation Structures Using Neuro-Adaptive 99 Networks with Hybrid Learning Algorithm Networks with Hybrid Learning Algorithm Kasthurirangan Gopalakrishnan, Halil Ceylan Kasthurirangan Gopalakrishnan, Halil Ceylan Siddhartha Kumar Khaitan Siddhartha Kumar Khaitan Development of the On-Site Earthquake Early Warning Systems for 107 Development of the On-Site Earthquake Early Warning Systems for 107 Taiwan Using Neural Networks Taiwan Using Neural Networks Chu-Chieh Jay Lin, Zhe-Ping Seng Chu-Chieh Jay Lin, Zhe-Ping Seng Fractal Analysis of CT-Measured Porosity for Claypan Soils 115 Fractal Analysis of CT-Measured Porosity for Claypan Soils 115 Y. Zeng, C.J. Gantzer, S.H. Anderson, R.P. Udawatta Y. Zeng, C.J. Gantzer, S.H. Anderson, R.P. Udawatta Application Artificial Neural Networks for Along Wind Loads on Tall Buildings 123 Application Artificial Neural Networks for Along Wind Loads on Tall Buildings 123 Kanchan Patil Kanchan Patil Hot Mix Asphalt Dynamic Modulus Prediction Using Kernel Machines 131 Hot Mix Asphalt Dynamic Modulus Prediction Using Kernel Machines 131 Kasthurirangan Gopalakrishnan, Halil Ceylan, Sunghwan Kim Kasthurirangan Gopalakrishnan, Halil Ceylan, Sunghwan Kim Predicting Travel Time along Arterials with More Sustainable Methods 139 Predicting Travel Time along Arterials with More Sustainable Methods 139 Ghassan Abu-Lebdeh, Salwa Beheiry, Yacoub Najjar Ghassan Abu-Lebdeh, Salwa Beheiry, Yacoub Najjar Assessment of CT-Measured Porosity in Russian Soils Using Fractal 147 Assessment of CT-Measured Porosity in Russian Soils Using Fractal 147 Dimension and Lacunarity Dimension and Lacunarity E.Y. Yakimenko, S.H. Anderson, R.P. Udawatta E.Y. Yakimenko, S.H. Anderson, R.P. Udawatta ANN-Based Profiling: Data Importance 155 ANN-Based Profiling: Data Importance 155 Sam Mryyan, Yacoub Najjar Sam Mryyan, Yacoub Najjar Part III: Evolutionary Computation 163 Part III: Evolutionary Computation 163 Ring Optimization of Side Effect Machines 165 Ring Optimization of Side Effect Machines 165 Andrew McEachern, Daniel Ashlock Andrew McEachern, Daniel Ashlock Multiscale Feature Location with a Fractal Representation 173 Multiscale Feature Location with a Fractal Representation 173 Daniel Ashlock, Stephen Gent, Kenneth M. Bryden Daniel Ashlock, Stephen Gent, Kenneth M. Bryden Taxonomy of a Diverse Collection of String Optimization Problems 181 Taxonomy of a Diverse Collection of String Optimization Problems 181 Daniel Ashlock, Steven M. Corns, Kenneth M. Bryden Daniel Ashlock, Steven M. Corns, Kenneth M. Bryden Logic Function Induction with the Blender Algorithm Using Function Stacks 189 Logic Function Induction with the Blender Algorithm Using Function Stacks 189 Daniel Ashlock, Douglas McCorkle, Kenneth M. Bryden Daniel Ashlock, Douglas McCorkle, Kenneth M. Bryden Breaking a Hierarchical Clustering Algorithm with an Evolutionary Algorithm 197 Breaking a Hierarchical Clustering Algorithm with an Evolutionary Algorithm 197 Daniel Ashlock, Justin Schonfeld, Taika von Königslöw Daniel Ashlock, Justin Schonfeld, Taika von Königslöw Co-Evolving Painting Robots Using Graph Based Evolutionary Algorithms 205 Co-Evolving Painting Robots Using Graph Based Evolutionary Algorithms 205 Steven M. Corns Steven M. Corns The Impact of Representation for Taxonomical Evaluation of Evolutionary Algorithms 213 The Impact of Representation for Taxonomical Evaluation of Evolutionary Algorithms 213 Jayakanth Jayachandran, Steven M. Corns Jayakanth Jayachandran, Steven M. Corns A Multi-Agent Organizational Model for CoEvolutionary Optimization 221 A Multi-Agent Organizational Model for CoEvolutionary Optimization 221 Grégoire Danoy, Pascal Bouvry, Olivier Boissier Grégoire Danoy, Pascal Bouvry, Olivier Boissier Evolutionary Group-Swarming: Agent-Based Simulation 229 Evolutionary Group-Swarming: Agent-Based Simulation 229 V.K. Murthy, E.V. Krishnamurthy V.K. Murthy, E.V. Krishnamurthy viii viii Part II: Infrastructure Systems 97 Part II: Infrastructure Systems 97 Non-Linear Inverse Analysis of Transportation Structures Using Neuro-Adaptive 99 Non-Linear Inverse Analysis of Transportation Structures Using Neuro-Adaptive 99 Networks with Hybrid Learning Algorithm Networks with Hybrid Learning Algorithm Kasthurirangan Gopalakrishnan, Halil Ceylan Kasthurirangan Gopalakrishnan, Halil Ceylan Siddhartha Kumar Khaitan Siddhartha Kumar Khaitan Development of the On-Site Earthquake Early Warning Systems for 107 Development of the On-Site Earthquake Early Warning Systems for 107 Taiwan Using Neural Networks Taiwan Using Neural Networks Chu-Chieh Jay Lin, Zhe-Ping Seng Chu-Chieh Jay Lin, Zhe-Ping Seng Fractal Analysis of CT-Measured Porosity for Claypan Soils 115 Fractal Analysis of CT-Measured Porosity for Claypan Soils 115 Y. Zeng, C.J. Gantzer, S.H. Anderson, R.P. Udawatta Y. Zeng, C.J. Gantzer, S.H. Anderson, R.P. Udawatta Application Artificial Neural Networks for Along Wind Loads on Tall Buildings 123 Application Artificial Neural Networks for Along Wind Loads on Tall Buildings 123 Kanchan Patil Kanchan Patil Hot Mix Asphalt Dynamic Modulus Prediction Using Kernel Machines 131 Hot Mix Asphalt Dynamic Modulus Prediction Using Kernel Machines 131 Kasthurirangan Gopalakrishnan, Halil Ceylan, Sunghwan Kim Kasthurirangan Gopalakrishnan, Halil Ceylan, Sunghwan Kim Predicting Travel Time along Arterials with More Sustainable Methods 139 Predicting Travel Time along Arterials with More Sustainable Methods 139 Ghassan Abu-Lebdeh, Salwa Beheiry, Yacoub Najjar Ghassan Abu-Lebdeh, Salwa Beheiry, Yacoub Najjar Assessment of CT-Measured Porosity in Russian Soils Using Fractal 147 Assessment of CT-Measured Porosity in Russian Soils Using Fractal 147 Dimension and Lacunarity Dimension and Lacunarity E.Y. Yakimenko, S.H. Anderson, R.P. Udawatta E.Y. Yakimenko, S.H. Anderson, R.P. Udawatta ANN-Based Profiling: Data Importance 155 ANN-Based Profiling: Data Importance 155 Sam Mryyan, Yacoub Najjar Sam Mryyan, Yacoub Najjar Part III: Evolutionary Computation 163 Part III: Evolutionary Computation 163 Ring Optimization of Side Effect Machines 165 Ring Optimization of Side Effect Machines 165 Andrew McEachern, Daniel Ashlock Andrew McEachern, Daniel Ashlock Multiscale Feature Location with a Fractal Representation 173 Multiscale Feature Location with a Fractal Representation 173 Daniel Ashlock, Stephen Gent, Kenneth M. Bryden Daniel Ashlock, Stephen Gent, Kenneth M. Bryden Taxonomy of a Diverse Collection of String Optimization Problems 181 Taxonomy of a Diverse Collection of String Optimization Problems 181 Daniel Ashlock, Steven M. Corns, Kenneth M. Bryden Daniel Ashlock, Steven M. Corns, Kenneth M. Bryden Logic Function Induction with the Blender Algorithm Using Function Stacks 189 Logic Function Induction with the Blender Algorithm Using Function Stacks 189 Daniel Ashlock, Douglas McCorkle, Kenneth M. Bryden Daniel Ashlock, Douglas McCorkle, Kenneth M. Bryden Breaking a Hierarchical Clustering Algorithm with an Evolutionary Algorithm 197 Breaking a Hierarchical Clustering Algorithm with an Evolutionary Algorithm 197 Daniel Ashlock, Justin Schonfeld, Taika von Königslöw Daniel Ashlock, Justin Schonfeld, Taika von Königslöw Co-Evolving Painting Robots Using Graph Based Evolutionary Algorithms 205 Co-Evolving Painting Robots Using Graph Based Evolutionary Algorithms 205 Steven M. Corns Steven M. Corns The Impact of Representation for Taxonomical Evaluation of Evolutionary Algorithms 213 The Impact of Representation for Taxonomical Evaluation of Evolutionary Algorithms 213 Jayakanth Jayachandran, Steven M. Corns Jayakanth Jayachandran, Steven M. Corns A Multi-Agent Organizational Model for CoEvolutionary Optimization 221 A Multi-Agent Organizational Model for CoEvolutionary Optimization 221 Grégoire Danoy, Pascal Bouvry, Olivier Boissier Grégoire Danoy, Pascal Bouvry, Olivier Boissier Evolutionary Group-Swarming: Agent-Based Simulation 229 Evolutionary Group-Swarming: Agent-Based Simulation 229 V.K. Murthy, E.V. Krishnamurthy V.K. Murthy, E.V. Krishnamurthy Downloaded From: http://ebooks.asmedigitalcollection.asme.org/ on 01/28/2016 Terms of Use: http://www.asme.org/about-asme/terms-of-use ix ix Cryptographic Properties of Cellular Automata-Based S-Boxes 237 Cryptographic Properties of Cellular Automata-Based S-Boxes 237 Equivalent to Des S-Boxes Equivalent to Des S-Boxes Miroslaw Szaban, Franciszek Seredynski, Pascal Bouvry Miroslaw Szaban, Franciszek Seredynski, Pascal Bouvry The Impact of Long-Term Memory in the Iterated Prisoner’s Dilemma 245 The Impact of Long-Term Memory in the Iterated Prisoner’s Dilemma 245 Nick Rogers, Dan Ashlock Nick Rogers, Dan Ashlock Exploring Promising Regions of the Search Space with the Scout Bee in the 253 Exploring Promising Regions of the Search Space with the Scout Bee in the 253 Artificial Bee Colony for Constrained Optimization Artificial Bee Colony for Constrained Optimization Efrén Mezura-Montes, Omar Cetina-Domínguez Efrén Mezura-Montes, Omar Cetina-Domínguez Particle Swarm Optimization for Emission Source Localization in 261 Particle Swarm Optimization for Emission Source Localization in 261 Sensor Networks Sensor Networks Girma S. Tewolde, Darrin M. Hanna, Richard E. Haskell Girma S. Tewolde, Darrin M. Hanna, Richard E. Haskell A Swarm Intelligent Sudoku Solver 269 A Swarm Intelligent Sudoku Solver 269 Wen-Li Wang, David Loker, Mei-Huei Tang Wen-Li Wang, David Loker, Mei-Huei Tang GA-Based Method for Optimal Weight Design Problem of Double Box Culvert 275 GA-Based Method for Optimal Weight Design Problem of Double Box Culvert 275 Takao Yokota, Shozo Wada, Takeaki Taguchi Takao Yokota, Shozo Wada, Takeaki Taguchi An Open Shortest Path First Area Design Problem Using Genetic Algorithm 283 An Open Shortest Path First Area Design Problem Using Genetic Algorithm 283 Juno Song, Mitsuo Gen Juno Song, Mitsuo Gen Applying Metaheuristic Approach to Three-Dimensional Tour Guide Allocation Problem 291 Applying Metaheuristic Approach to Three-Dimensional Tour Guide Allocation Problem 291 Kayoko Murakami, Seren Ozmehmet Tasan, Serdar Tasan Kayoko Murakami, Seren Ozmehmet Tasan, Serdar Tasan Mitsuo Gen, Takashi Oyabu, Yang Yang Mitsuo Gen, Takashi Oyabu, Yang Yang Quay Crane Scheduling with Non-Interference Constraints by 299 Quay Crane Scheduling with Non-Interference Constraints by 299 Multiobjective Genetic Algorithms Multiobjective Genetic Algorithms Yang Yang, Kap Hwan Kim, Mitsuo Gen Yang Yang, Kap Hwan Kim, Mitsuo Gen Study on Two-Stage Transportation Planning with Inventory and Exclusionary Side 307 Study on Two-Stage Transportation Planning with Inventory and Exclusionary Side 307 Constraints by Boltzmann Random Key-Based GA Constraints by Boltzmann Random Key-Based GA Shinichiro Ataka, Byungki Kim, Mitsuo Gen Shinichiro Ataka, Byungki Kim, Mitsuo Gen GA for JSP with Delivery Time and Holding Cost 315 GA for JSP with Delivery Time and Holding Cost 315 Kazumi Abe, Kenichi Ida Kazumi Abe, Kenichi Ida Multiobjective Genetic Algorithm for Pareto-Optimal Route Selection 323 Multiobjective Genetic Algorithm for Pareto-Optimal Route Selection 323 Feng Wen, Mitsuo Gen Feng Wen, Mitsuo Gen Multiobjective Evolututionary Algorithm Approach for Job Shop Rescheduling Problem 331 Multiobjective Evolututionary Algorithm Approach for Job Shop Rescheduling Problem 331 Xinchang Hao, Mitsuo Gen, Runwei Cheng Xinchang Hao, Mitsuo Gen, Runwei Cheng Cell Loading and Product Sequencing in Synchronized Manufacturing Cells Using GA 339 Cell Loading and Product Sequencing in Synchronized Manufacturing Cells Using GA 339 Gürsel A. Süer, Fatih Yarimoglu Gürsel A. Süer, Fatih Yarimoglu Navigation of an Autonomous Mobile Robot Using Artificial Immune System Algorithm 349 Navigation of an Autonomous Mobile Robot Using Artificial Immune System Algorithm 349 S. Ozcelik, S. Sukumaran, R. Challoo S. Ozcelik, S. Sukumaran, R. Challoo Modified Bacterial Foraging Optimization for Engineering Design 357 Modified Bacterial Foraging Optimization for Engineering Design 357 Efrén Mezura-Montes, Betania Hernández-Ocaña Efrén Mezura-Montes, Betania Hernández-Ocaña ix ix Cryptographic Properties of Cellular Automata-Based S-Boxes 237 Cryptographic Properties of Cellular Automata-Based S-Boxes 237 Equivalent to Des S-Boxes Equivalent to Des S-Boxes Miroslaw Szaban, Franciszek Seredynski, Pascal Bouvry Miroslaw Szaban, Franciszek Seredynski, Pascal Bouvry The Impact of Long-Term Memory in the Iterated Prisoner’s Dilemma 245 The Impact of Long-Term Memory in the Iterated Prisoner’s Dilemma 245 Nick Rogers, Dan Ashlock Nick Rogers, Dan Ashlock Exploring Promising Regions of the Search Space with the Scout Bee in the 253 Exploring Promising Regions of the Search Space with the Scout Bee in the 253 Artificial Bee Colony for Constrained Optimization Artificial Bee Colony for Constrained Optimization Efrén Mezura-Montes, Omar Cetina-Domínguez Efrén Mezura-Montes, Omar Cetina-Domínguez Particle Swarm Optimization for Emission Source Localization in 261 Particle Swarm Optimization for Emission Source Localization in 261 Sensor Networks Sensor Networks Girma S. Tewolde, Darrin M. Hanna, Richard E. Haskell Girma S. Tewolde, Darrin M. Hanna, Richard E. Haskell A Swarm Intelligent Sudoku Solver 269 A Swarm Intelligent Sudoku Solver 269 Wen-Li Wang, David Loker, Mei-Huei Tang Wen-Li Wang, David Loker, Mei-Huei Tang GA-Based Method for Optimal Weight Design Problem of Double Box Culvert 275 GA-Based Method for Optimal Weight Design Problem of Double Box Culvert 275 Takao Yokota, Shozo Wada, Takeaki Taguchi Takao Yokota, Shozo Wada, Takeaki Taguchi An Open Shortest Path First Area Design Problem Using Genetic Algorithm 283 An Open Shortest Path First Area Design Problem Using Genetic Algorithm 283 Juno Song, Mitsuo Gen Juno Song, Mitsuo Gen Applying Metaheuristic Approach to Three-Dimensional Tour Guide Allocation Problem 291 Applying Metaheuristic Approach to Three-Dimensional Tour Guide Allocation Problem 291 Kayoko Murakami, Seren Ozmehmet Tasan, Serdar Tasan Kayoko Murakami, Seren Ozmehmet Tasan, Serdar Tasan Mitsuo Gen, Takashi Oyabu, Yang Yang Mitsuo Gen, Takashi Oyabu, Yang Yang Quay Crane Scheduling with Non-Interference Constraints by 299 Quay Crane Scheduling with Non-Interference Constraints by 299 Multiobjective Genetic Algorithms Multiobjective Genetic Algorithms Yang Yang, Kap Hwan Kim, Mitsuo Gen Yang Yang, Kap Hwan Kim, Mitsuo Gen Study on Two-Stage Transportation Planning with Inventory and Exclusionary Side 307 Study on Two-Stage Transportation Planning with Inventory and Exclusionary Side 307 Constraints by Boltzmann Random Key-Based GA Constraints by Boltzmann Random Key-Based GA Shinichiro Ataka, Byungki Kim, Mitsuo Gen Shinichiro Ataka, Byungki Kim, Mitsuo Gen GA for JSP with Delivery Time and Holding Cost 315 GA for JSP with Delivery Time and Holding Cost 315 Kazumi Abe, Kenichi Ida Kazumi Abe, Kenichi Ida Multiobjective Genetic Algorithm for Pareto-Optimal Route Selection 323 Multiobjective Genetic Algorithm for Pareto-Optimal Route Selection 323 Feng Wen, Mitsuo Gen Feng Wen, Mitsuo Gen Multiobjective Evolututionary Algorithm Approach for Job Shop Rescheduling Problem 331 Multiobjective Evolututionary Algorithm Approach for Job Shop Rescheduling Problem 331 Xinchang Hao, Mitsuo Gen, Runwei Cheng Xinchang Hao, Mitsuo Gen, Runwei Cheng Cell Loading and Product Sequencing in Synchronized Manufacturing Cells Using GA 339 Cell Loading and Product Sequencing in Synchronized Manufacturing Cells Using GA 339 Gürsel A. Süer, Fatih Yarimoglu Gürsel A. Süer, Fatih Yarimoglu Navigation of an Autonomous Mobile Robot Using Artificial Immune System Algorithm 349 Navigation of an Autonomous Mobile Robot Using Artificial Immune System Algorithm 349 S. Ozcelik, S. Sukumaran, R. Challoo S. Ozcelik, S. Sukumaran, R. Challoo Modified Bacterial Foraging Optimization for Engineering Design 357 Modified Bacterial Foraging Optimization for Engineering Design 357 Efrén Mezura-Montes, Betania Hernández-Ocaña Efrén Mezura-Montes, Betania Hernández-Ocaña Downloaded From: http://ebooks.asmedigitalcollection.asme.org/ on 01/28/2016 Terms of Use: http://www.asme.org/about-asme/terms-of-use x x Part IV: General Engineering Application 365 Part IV: General Engineering Application 365 Attractive Walking Through Electrocardiogram Signals of Arrhythmia by 367 Attractive Walking Through Electrocardiogram Signals of Arrhythmia by 367 Analyzing the Normal Neighbor Rhythm Analyzing the Normal Neighbor Rhythm Natacha Gueorguieva, Iren Valova, Chin Ming Hui Natacha Gueorguieva, Iren Valova, Chin Ming Hui Simulation of Synaptic Responses in an Active Membrane Model 375 Simulation of Synaptic Responses in an Active Membrane Model 375 Natacha Gueorguieva, Iren Valova Natacha Gueorguieva, Iren Valova George Georgiev, Vyacheslav Glukh George Georgiev, Vyacheslav Glukh Biomolecular Feature Selection of Colorectal Cancer Microarray Data 383 Biomolecular Feature Selection of Colorectal Cancer Microarray Data 383 Using GA-SVM Hybrid Using GA-SVM Hybrid Alda Mizaku, David J. Schaffer Alda Mizaku, David J. Schaffer Walker H. Land, John J. Heine Walker H. Land, John J. Heine A Complex Adaptive Decision Mechanism (CADM) for Two View Mammography 391 A Complex Adaptive Decision Mechanism (CADM) for Two View Mammography 391 Walker H. Land, Dan Margolis, Maria Kallergi, John J. Heine Walker H. Land, Dan Margolis, Maria Kallergi, John J. Heine Feature Selection of Microarray Data Using Genetic Algorithms and 397 Feature Selection of Microarray Data Using Genetic Algorithms and 397 Artificial Neural Networks Artificial Neural Networks Paul Yacci, Anne Haake, Roger S. Gaborski Paul Yacci, Anne Haake, Roger S. Gaborski Spherical SOFM: Implications for Forensics and Craniofacial Surgery 405 Spherical SOFM: Implications for Forensics and Craniofacial Surgery 405 Archana P. Sangole, Pascal Labrecque, Patricia Bortoluzzi Archana P. Sangole, Pascal Labrecque, Patricia Bortoluzzi Modular Neural Network with Fuzzy Integration for Face, Fingerprint and 413 Modular Neural Network with Fuzzy Integration for Face, Fingerprint and 413 Voice Recognition Voice Recognition Ricardo Muñoz Bernal, Oscar Castillo, Patricia Melin Ricardo Muñoz Bernal, Oscar Castillo, Patricia Melin Enhanced Hyperspectral Face Recognition 421 Enhanced Hyperspectral Face Recognition 421 David M. Ryer, Kenneth W. Bauer David M. Ryer, Kenneth W. Bauer An Adaptive Facial Feature Tracking for Expression Recognition Using 429 An Adaptive Facial Feature Tracking for Expression Recognition Using 429 Temporal Information in Feature Selection Temporal Information in Feature Selection Mahsa Maghami, Ramin Mehran, Mohsen Shiva Mahsa Maghami, Ramin Mehran, Mohsen Shiva Hierarchical Face Age-Estimation Algorithm Using Informed Facial Features 437 Hierarchical Face Age-Estimation Algorithm Using Informed Facial Features 437 Karl Ricanek Karl Ricanek Performance Analysis of Moments in Invariant Object Classification 447 Performance Analysis of Moments in Invariant Object Classification 447 Nervez Imamoğlu, Aydin Eresen Nervez Imamoğlu, Aydin Eresen Arda Yağci, A. Murat Özbayoğlu Arda Yağci, A. Murat Özbayoğlu Lyapunov Exponents Spectrum Estimation 455 Lyapunov Exponents Spectrum Estimation 455 Davoud Arasteh Davoud Arasteh Regression of Representative Keys for Classification: A Simple Learning Approach 463 Regression of Representative Keys for Classification: A Simple Learning Approach 463 El Sayed Mahmoud, David Calvert El Sayed Mahmoud, David Calvert Max Blot-Out Picking for Reducing the Number of Representation Vectors 471 Max Blot-Out Picking for Reducing the Number of Representation Vectors 471 From the Pick and Blot-Out Algorithm From the Pick and Blot-Out Algorithm Shanmugalingam Easwaran Shanmugalingam Easwaran A Pick and Blot-Out Algorithm for Obtaining Representation Vectors to 481 A Pick and Blot-Out Algorithm for Obtaining Representation Vectors to 481 Represent An Arbitrary Dataset Represent An Arbitrary Dataset Shanmugalingam Easwaran Shanmugalingam Easwaran x x Part IV: General Engineering Application 365 Part IV: General Engineering Application 365 Attractive Walking Through Electrocardiogram Signals of Arrhythmia by 367 Attractive Walking Through Electrocardiogram Signals of Arrhythmia by 367 Analyzing the Normal Neighbor Rhythm Analyzing the Normal Neighbor Rhythm Natacha Gueorguieva, Iren Valova, Chin Ming Hui Natacha Gueorguieva, Iren Valova, Chin Ming Hui Simulation of Synaptic Responses in an Active Membrane Model 375 Simulation of Synaptic Responses in an Active Membrane Model 375 Natacha Gueorguieva, Iren Valova Natacha Gueorguieva, Iren Valova George Georgiev, Vyacheslav Glukh George Georgiev, Vyacheslav Glukh Biomolecular Feature Selection of Colorectal Cancer Microarray Data 383 Biomolecular Feature Selection of Colorectal Cancer Microarray Data 383 Using GA-SVM Hybrid Using GA-SVM Hybrid Alda Mizaku, David J. Schaffer Alda Mizaku, David J. Schaffer Walker H. Land, John J. Heine Walker H. Land, John J. Heine A Complex Adaptive Decision Mechanism (CADM) for Two View Mammography 391 A Complex Adaptive Decision Mechanism (CADM) for Two View Mammography 391 Walker H. Land, Dan Margolis, Maria Kallergi, John J. Heine Walker H. Land, Dan Margolis, Maria Kallergi, John J. Heine Feature Selection of Microarray Data Using Genetic Algorithms and 397 Feature Selection of Microarray Data Using Genetic Algorithms and 397 Artificial Neural Networks Artificial Neural Networks Paul Yacci, Anne Haake, Roger S. Gaborski Paul Yacci, Anne Haake, Roger S. Gaborski Spherical SOFM: Implications for Forensics and Craniofacial Surgery 405 Spherical SOFM: Implications for Forensics and Craniofacial Surgery 405 Archana P. Sangole, Pascal Labrecque, Patricia Bortoluzzi Archana P. Sangole, Pascal Labrecque, Patricia Bortoluzzi Modular Neural Network with Fuzzy Integration for Face, Fingerprint and 413 Modular Neural Network with Fuzzy Integration for Face, Fingerprint and 413 Voice Recognition Voice Recognition Ricardo Muñoz Bernal, Oscar Castillo, Patricia Melin Ricardo Muñoz Bernal, Oscar Castillo, Patricia Melin Enhanced Hyperspectral Face Recognition 421 Enhanced Hyperspectral Face Recognition 421 David M. Ryer, Kenneth W. Bauer David M. Ryer, Kenneth W. Bauer An Adaptive Facial Feature Tracking for Expression Recognition Using 429 An Adaptive Facial Feature Tracking for Expression Recognition Using 429 Temporal Information in Feature Selection Temporal Information in Feature Selection Mahsa Maghami, Ramin Mehran, Mohsen Shiva Mahsa Maghami, Ramin Mehran, Mohsen Shiva Hierarchical Face Age-Estimation Algorithm Using Informed Facial Features 437 Hierarchical Face Age-Estimation Algorithm Using Informed Facial Features 437 Karl Ricanek Karl Ricanek Performance Analysis of Moments in Invariant Object Classification 447 Performance Analysis of Moments in Invariant Object Classification 447 Nervez Imamoğlu, Aydin Eresen Nervez Imamoğlu, Aydin Eresen Arda Yağci, A. Murat Özbayoğlu Arda Yağci, A. Murat Özbayoğlu Lyapunov Exponents Spectrum Estimation 455 Lyapunov Exponents Spectrum Estimation 455 Davoud Arasteh Davoud Arasteh Regression of Representative Keys for Classification: A Simple Learning Approach 463 Regression of Representative Keys for Classification: A Simple Learning Approach 463 El Sayed Mahmoud, David Calvert El Sayed Mahmoud, David Calvert Max Blot-Out Picking for Reducing the Number of Representation Vectors 471 Max Blot-Out Picking for Reducing the Number of Representation Vectors 471 From the Pick and Blot-Out Algorithm From the Pick and Blot-Out Algorithm Shanmugalingam Easwaran Shanmugalingam Easwaran A Pick and Blot-Out Algorithm for Obtaining Representation Vectors to 481 A Pick and Blot-Out Algorithm for Obtaining Representation Vectors to 481 Represent An Arbitrary Dataset Represent An Arbitrary Dataset Shanmugalingam Easwaran Shanmugalingam Easwaran Downloaded From: http://ebooks.asmedigitalcollection.asme.org/ on 01/28/2016 Terms of Use: http://www.asme.org/about-asme/terms-of-use

ebook img

Computational Intelligence in Architecting Engineering Systems : proceedings of the Artificial Neural Networks in Engineering Conference (ANNIE 2009) held November 2-4, 2009, in St. Louis, Missouri, U.S.A PDF

631 Pages·2009·28.021 MB·English
by  Cihan H. Dagli, H. Dagli Cihan, K. Mark Bryden, Steven M. Corns, Mitsuo Gen, Kagan Tumer
#
Save to my drive
Quick download
Download
Upgrade Premium
Most books are stored in the elastic cloud where traffic is expensive. For this reason, we have a limit on daily download.

Preview Computational Intelligence in Architecting Engineering Systems : proceedings of the Artificial Neural Networks in Engineering Conference (ANNIE 2009) held November 2-4, 2009, in St. Louis, Missouri, U.S.A

COMPUTATIONAL INTELLIGENCE IN COMPUTATIONAL INTELLIGENCE IN ARCHITECTING COMPLEX ENGINEERING SYSTEMS ARCHITECTING COMPLEX ENGINEERING SYSTEMS VOLUME 19 VOLUME 19 COMPUTATIONAL INTELLIGENCE IN COMPUTATIONAL INTELLIGENCE IN ARCHITECTING COMPLEX ENGINEERING SYSTEMS ARCHITECTING COMPLEX ENGINEERING SYSTEMS VOLUME 19 VOLUME 19 Downloaded From: http://ebooks.asmedigitalcollection.asme.org/ on 01/28/2016 Terms of Use: http://www.asme.org/about-asme/terms-of-use ASME PRESS SERIES ON INTELLIGENT ASME PRESS SERIES ON INTELLIGENT ENGINEERING SYSTEMS THROUGH ARTIFICIAL ENGINEERING SYSTEMS THROUGH ARTIFICIAL NEURAL NETWORKS NEURAL NETWORKS EDITOR EDITOR C.H. Dagli, Editor, Missouri University of Science & Technology, Rolla, Missouri, USA C.H. Dagli, Editor, Missouri University of Science & Technology, Rolla, Missouri, USA Intelligent Engineering Systems Through Artificial Neural Networks, Volume 1, Intelligent Engineering Systems Through Artificial Neural Networks, Volume 1, edited by Cihan H. Dagli, Soundar R.T. Kumara, and Yung C. Shin, 1991 edited by Cihan H. Dagli, Soundar R.T. Kumara, and Yung C. Shin, 1991 Intelligent Engineering Systems Through Artificial Neural Networks, Volume 2, Intelligent Engineering Systems Through Artificial Neural Networks, Volume 2, edited by Cihan H. Dagli, Laura I. Burke, and Yung C. Shin, 1992 edited by Cihan H. Dagli, Laura I. Burke, and Yung C. Shin, 1992 Intelligent Engineering Systems Through Artificial Neural Networks, Volume 3, Intelligent Engineering Systems Through Artificial Neural Networks, Volume 3, edited by Cihan H. Dagli, Laura I. Burke, Benito Fernandez, and Joydeep Ghosh, edited by Cihan H. Dagli, Laura I. Burke, Benito Fernandez, and Joydeep Ghosh, 1993 1993 Intelligent Engineering Systems Through Artificial Neural Networks, Volume 4, Intelligent Engineering Systems Through Artificial Neural Networks, Volume 4, edited by Cihan H. Dagli, Benito Fernandez, Joydeep Ghosh, and R.T. Soundar edited by Cihan H. Dagli, Benito Fernandez, Joydeep Ghosh, and R.T. Soundar Kumara, 1994 Kumara, 1994 Intelligent Engineering Systems Through Artificial Neural Networks, Volume 5, Intelligent Engineering Systems Through Artificial Neural Networks, Volume 5, edited by Cihan H. Dagli, Metin Akay, C.L. Phillip Chen, Benito Fernandez, and edited by Cihan H. Dagli, Metin Akay, C.L. Phillip Chen, Benito Fernandez, and Joydeep Ghosh, 1995 Joydeep Ghosh, 1995 Intelligent Engineering Systems Through Artificial Neural Networks, Volume 6, Intelligent Engineering Systems Through Artificial Neural Networks, Volume 6, edited by Cihan H. Dagli, Metin Akay, C.L. Phillip Chen, Benito Fernandez, and edited by Cihan H. Dagli, Metin Akay, C.L. Phillip Chen, Benito Fernandez, and Joydeep Ghosh, 1996 Joydeep Ghosh, 1996 Intelligent Engineering Systems Through Artificial Neural Networks: Smart Intelligent Engineering Systems Through Artificial Neural Networks: Smart Engineering Systems: Neural Networks, Fuzzy Logic, Data Mining and Evolutionary Engineering Systems: Neural Networks, Fuzzy Logic, Data Mining and Evolutionary Programming, Volume 7, edited by Cihan H. Dagli, Metin Akay, Okan Ersoy, Benito Programming, Volume 7, edited by Cihan H. Dagli, Metin Akay, Okan Ersoy, Benito Fernandez, and Alice Smith, 1997 Fernandez, and Alice Smith, 1997 Intelligent Engineering Systems Through Artificial Neural Networks: Smart Intelligent Engineering Systems Through Artificial Neural Networks: Smart Engineering Systems: Neural Networks, Fuzzy Logic, Evolutionary Programming, Engineering Systems: Neural Networks, Fuzzy Logic, Evolutionary Programming, Data Mining and Rough Sets, Volume 8, edited by Cihan H. Dagli, Metin Akay, Data Mining and Rough Sets, Volume 8, edited by Cihan H. Dagli, Metin Akay, Anna L. Buczak, Okan Ersoy, and Benito Fernandez, 1998 Anna L. Buczak, Okan Ersoy, and Benito Fernandez, 1998 Intelligent Engineering Systems Through Artificial Neural Networks: Smart Intelligent Engineering Systems Through Artificial Neural Networks: Smart Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Programming, Data Mining and Complex Systems, Volume 9, edited by Cihan H. Programming, Data Mining and Complex Systems, Volume 9, edited by Cihan H. Dagli, Anna L. Buczak, Joydeep Ghosh, Mark Embrechts and Okan Ersoy, 1999 Dagli, Anna L. Buczak, Joydeep Ghosh, Mark Embrechts and Okan Ersoy, 1999 Intelligent Engineering Systems Through Artificial Neural Networks: Smart Intelligent Engineering Systems Through Artificial Neural Networks: Smart Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Programming, Data Mining and Complex Systems, Volume 10, edited by Cihan H. Programming, Data Mining and Complex Systems, Volume 10, edited by Cihan H. Dagli, Anna L. Buczak, Joydeep Ghosh, Mark Embrechts, Okan Ersoy and Dagli, Anna L. Buczak, Joydeep Ghosh, Mark Embrechts, Okan Ersoy and Stephen Kercel, 2000 Stephen Kercel, 2000 ASME PRESS SERIES ON INTELLIGENT ASME PRESS SERIES ON INTELLIGENT ENGINEERING SYSTEMS THROUGH ARTIFICIAL ENGINEERING SYSTEMS THROUGH ARTIFICIAL NEURAL NETWORKS NEURAL NETWORKS EDITOR EDITOR C.H. Dagli, Editor, Missouri University of Science & Technology, Rolla, Missouri, USA C.H. Dagli, Editor, Missouri University of Science & Technology, Rolla, Missouri, USA Intelligent Engineering Systems Through Artificial Neural Networks, Volume 1, Intelligent Engineering Systems Through Artificial Neural Networks, Volume 1, edited by Cihan H. Dagli, Soundar R.T. Kumara, and Yung C. Shin, 1991 edited by Cihan H. Dagli, Soundar R.T. Kumara, and Yung C. Shin, 1991 Intelligent Engineering Systems Through Artificial Neural Networks, Volume 2, Intelligent Engineering Systems Through Artificial Neural Networks, Volume 2, edited by Cihan H. Dagli, Laura I. Burke, and Yung C. Shin, 1992 edited by Cihan H. Dagli, Laura I. Burke, and Yung C. Shin, 1992 Intelligent Engineering Systems Through Artificial Neural Networks, Volume 3, Intelligent Engineering Systems Through Artificial Neural Networks, Volume 3, edited by Cihan H. Dagli, Laura I. Burke, Benito Fernandez, and Joydeep Ghosh, edited by Cihan H. Dagli, Laura I. Burke, Benito Fernandez, and Joydeep Ghosh, 1993 1993 Intelligent Engineering Systems Through Artificial Neural Networks, Volume 4, Intelligent Engineering Systems Through Artificial Neural Networks, Volume 4, edited by Cihan H. Dagli, Benito Fernandez, Joydeep Ghosh, and R.T. Soundar edited by Cihan H. Dagli, Benito Fernandez, Joydeep Ghosh, and R.T. Soundar Kumara, 1994 Kumara, 1994 Intelligent Engineering Systems Through Artificial Neural Networks, Volume 5, Intelligent Engineering Systems Through Artificial Neural Networks, Volume 5, edited by Cihan H. Dagli, Metin Akay, C.L. Phillip Chen, Benito Fernandez, and edited by Cihan H. Dagli, Metin Akay, C.L. Phillip Chen, Benito Fernandez, and Joydeep Ghosh, 1995 Joydeep Ghosh, 1995 Intelligent Engineering Systems Through Artificial Neural Networks, Volume 6, Intelligent Engineering Systems Through Artificial Neural Networks, Volume 6, edited by Cihan H. Dagli, Metin Akay, C.L. Phillip Chen, Benito Fernandez, and edited by Cihan H. Dagli, Metin Akay, C.L. Phillip Chen, Benito Fernandez, and Joydeep Ghosh, 1996 Joydeep Ghosh, 1996 Intelligent Engineering Systems Through Artificial Neural Networks: Smart Intelligent Engineering Systems Through Artificial Neural Networks: Smart Engineering Systems: Neural Networks, Fuzzy Logic, Data Mining and Evolutionary Engineering Systems: Neural Networks, Fuzzy Logic, Data Mining and Evolutionary Programming, Volume 7, edited by Cihan H. Dagli, Metin Akay, Okan Ersoy, Benito Programming, Volume 7, edited by Cihan H. Dagli, Metin Akay, Okan Ersoy, Benito Fernandez, and Alice Smith, 1997 Fernandez, and Alice Smith, 1997 Intelligent Engineering Systems Through Artificial Neural Networks: Smart Intelligent Engineering Systems Through Artificial Neural Networks: Smart Engineering Systems: Neural Networks, Fuzzy Logic, Evolutionary Programming, Engineering Systems: Neural Networks, Fuzzy Logic, Evolutionary Programming, Data Mining and Rough Sets, Volume 8, edited by Cihan H. Dagli, Metin Akay, Data Mining and Rough Sets, Volume 8, edited by Cihan H. Dagli, Metin Akay, Anna L. Buczak, Okan Ersoy, and Benito Fernandez, 1998 Anna L. Buczak, Okan Ersoy, and Benito Fernandez, 1998 Intelligent Engineering Systems Through Artificial Neural Networks: Smart Intelligent Engineering Systems Through Artificial Neural Networks: Smart Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Programming, Data Mining and Complex Systems, Volume 9, edited by Cihan H. Programming, Data Mining and Complex Systems, Volume 9, edited by Cihan H. Dagli, Anna L. Buczak, Joydeep Ghosh, Mark Embrechts and Okan Ersoy, 1999 Dagli, Anna L. Buczak, Joydeep Ghosh, Mark Embrechts and Okan Ersoy, 1999 Intelligent Engineering Systems Through Artificial Neural Networks: Smart Intelligent Engineering Systems Through Artificial Neural Networks: Smart Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Programming, Data Mining and Complex Systems, Volume 10, edited by Cihan H. Programming, Data Mining and Complex Systems, Volume 10, edited by Cihan H. Dagli, Anna L. Buczak, Joydeep Ghosh, Mark Embrechts, Okan Ersoy and Dagli, Anna L. Buczak, Joydeep Ghosh, Mark Embrechts, Okan Ersoy and Stephen Kercel, 2000 Stephen Kercel, 2000 Downloaded From: http://ebooks.asmedigitalcollection.asme.org/ on 01/28/2016 Terms of Use: http://www.asme.org/about-asme/terms-of-use Intelligent Engineering Systems Through Artificial Neural Networks: Smart Intelligent Engineering Systems Through Artificial Neural Networks: Smart Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Programming, Data Mining and Complex Systems, Volume 11, edited by Cihan H. Programming, Data Mining and Complex Systems, Volume 11, edited by Cihan H. Dagli, Anna L. Buczak, Joydeep Ghosh, Mark Embrechts, Okan Ersoy and Dagli, Anna L. Buczak, Joydeep Ghosh, Mark Embrechts, Okan Ersoy and Stephen Kercel, 2001 Stephen Kercel, 2001 Intelligent Engineering Systems Through Artificial Neural Networks: Smart Intelligent Engineering Systems Through Artificial Neural Networks: Smart Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Programming, Complex Systems and Artificial Life, Volume 12, edited by Cihan H. Programming, Complex Systems and Artificial Life, Volume 12, edited by Cihan H. Dagli, Anna L. Buczak, Joydeep Ghosh, Mark Embrechts, Okan Ersoy and Dagli, Anna L. Buczak, Joydeep Ghosh, Mark Embrechts, Okan Ersoy and Stephen Kercel, 2002 Stephen Kercel, 2002 Intelligent Engineering Systems Through Artificial Neural Networks: Smart Intelligent Engineering Systems Through Artificial Neural Networks: Smart Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Programming, Complex Systems, and Artificial Life, Volume 13, edited by Cihan H. Programming, Complex Systems, and Artificial Life, Volume 13, edited by Cihan H. Dagli, Anna L. Buczak, Joydeep Ghosh, Mark Embrechts, and Okan Ersoy, 2003 Dagli, Anna L. Buczak, Joydeep Ghosh, Mark Embrechts, and Okan Ersoy, 2003 Intelligent Engineering Systems Through Artificial Neural Networks: Smart Intelligent Engineering Systems Through Artificial Neural Networks: Smart Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Programming, Complex Systems and Artificial Life, Volume 14, edited by Cihan H. Programming, Complex Systems and Artificial Life, Volume 14, edited by Cihan H. Dagli, Anna L. Buczak, David L. Enke, Mark Embrechts and Okan Ersoy, 2004 Dagli, Anna L. Buczak, David L. Enke, Mark Embrechts and Okan Ersoy, 2004 Intelligent Engineering Systems Through Artificial Neural Networks: Smart Intelligent Engineering Systems Through Artificial Neural Networks: Smart Engineering System Design: Neural Networks, Evolutionary Programming, Data Engineering System Design: Neural Networks, Evolutionary Programming, Data Mining, and Artificial Life, Volume 15, edited by Cihan H. Dagli, Anna L. Buczak, Mining, and Artificial Life, Volume 15, edited by Cihan H. Dagli, Anna L. Buczak, David L. Enke, Mark Embrechts, and Okan Ersoy, 2005 David L. Enke, Mark Embrechts, and Okan Ersoy, 2005 Intelligent Engineering Systems Through Artificial Neural Networks: Smart Systems Intelligent Engineering Systems Through Artificial Neural Networks: Smart Systems Engineering: Infra-Structure Systems Engineering, Bio-Informatics and Engineering: Infra-Structure Systems Engineering, Bio-Informatics and Computational Biology, Evolutionary Computation, Volume 16, edited by Cihan H. Computational Biology, Evolutionary Computation, Volume 16, edited by Cihan H. Dagli, Anna L. Buczak, David L. Enke, Mark Embrechts, and Okan Ersoy, 2006 Dagli, Anna L. Buczak, David L. Enke, Mark Embrechts, and Okan Ersoy, 2006 Intelligent Engineering Systems Through Artificial Neural Networks: Smart Systems Intelligent Engineering Systems Through Artificial Neural Networks: Smart Systems Engineering: Computational Intelligence in Architecting Complex Engineering Engineering: Computational Intelligence in Architecting Complex Engineering Systems, Volume 17, edited by Cihan H. Dagli, Anna L. Buczak, David L. Enke, Systems, Volume 17, edited by Cihan H. Dagli, Anna L. Buczak, David L. Enke, Mark Embrechts, and Okan Ersoy, 2007 Mark Embrechts, and Okan Ersoy, 2007 Intelligent Engineering Systems Through Artificial Neural Networks: Computational Intelligent Engineering Systems Through Artificial Neural Networks: Computational Intelligence in Architecting Engineering Systems, Volume 18, edited by Cihan H. Intelligence in Architecting Engineering Systems, Volume 18, edited by Cihan H. Dagli, David L. Enke, K. Mark Bryden, Halil Ceylan, and Mitsuo Gen, 2008 Dagli, David L. Enke, K. Mark Bryden, Halil Ceylan, and Mitsuo Gen, 2008 Intelligent Engineering Systems Through Artificial Neural Networks: Computational Intelligent Engineering Systems Through Artificial Neural Networks: Computational Intelligence in Architecting Complex Engineering Systems, Volume 19, edited by Intelligence in Architecting Complex Engineering Systems, Volume 19, edited by Cihan H. Dagli, K. Mark Bryden, Steven M. Corns, Mitsuo Gen, Kagan Tumer, and Cihan H. Dagli, K. Mark Bryden, Steven M. Corns, Mitsuo Gen, Kagan Tumer, and Gürsel Süer, 2009 Gürsel Süer, 2009 Intelligent Engineering Systems Through Artificial Neural Networks: Smart Intelligent Engineering Systems Through Artificial Neural Networks: Smart Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Programming, Data Mining and Complex Systems, Volume 11, edited by Cihan H. Programming, Data Mining and Complex Systems, Volume 11, edited by Cihan H. Dagli, Anna L. Buczak, Joydeep Ghosh, Mark Embrechts, Okan Ersoy and Dagli, Anna L. Buczak, Joydeep Ghosh, Mark Embrechts, Okan Ersoy and Stephen Kercel, 2001 Stephen Kercel, 2001 Intelligent Engineering Systems Through Artificial Neural Networks: Smart Intelligent Engineering Systems Through Artificial Neural Networks: Smart Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Programming, Complex Systems and Artificial Life, Volume 12, edited by Cihan H. Programming, Complex Systems and Artificial Life, Volume 12, edited by Cihan H. Dagli, Anna L. Buczak, Joydeep Ghosh, Mark Embrechts, Okan Ersoy and Dagli, Anna L. Buczak, Joydeep Ghosh, Mark Embrechts, Okan Ersoy and Stephen Kercel, 2002 Stephen Kercel, 2002 Intelligent Engineering Systems Through Artificial Neural Networks: Smart Intelligent Engineering Systems Through Artificial Neural Networks: Smart Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Programming, Complex Systems, and Artificial Life, Volume 13, edited by Cihan H. Programming, Complex Systems, and Artificial Life, Volume 13, edited by Cihan H. Dagli, Anna L. Buczak, Joydeep Ghosh, Mark Embrechts, and Okan Ersoy, 2003 Dagli, Anna L. Buczak, Joydeep Ghosh, Mark Embrechts, and Okan Ersoy, 2003 Intelligent Engineering Systems Through Artificial Neural Networks: Smart Intelligent Engineering Systems Through Artificial Neural Networks: Smart Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Programming, Complex Systems and Artificial Life, Volume 14, edited by Cihan H. Programming, Complex Systems and Artificial Life, Volume 14, edited by Cihan H. Dagli, Anna L. Buczak, David L. Enke, Mark Embrechts and Okan Ersoy, 2004 Dagli, Anna L. Buczak, David L. Enke, Mark Embrechts and Okan Ersoy, 2004 Intelligent Engineering Systems Through Artificial Neural Networks: Smart Intelligent Engineering Systems Through Artificial Neural Networks: Smart Engineering System Design: Neural Networks, Evolutionary Programming, Data Engineering System Design: Neural Networks, Evolutionary Programming, Data Mining, and Artificial Life, Volume 15, edited by Cihan H. Dagli, Anna L. Buczak, Mining, and Artificial Life, Volume 15, edited by Cihan H. Dagli, Anna L. Buczak, David L. Enke, Mark Embrechts, and Okan Ersoy, 2005 David L. Enke, Mark Embrechts, and Okan Ersoy, 2005 Intelligent Engineering Systems Through Artificial Neural Networks: Smart Systems Intelligent Engineering Systems Through Artificial Neural Networks: Smart Systems Engineering: Infra-Structure Systems Engineering, Bio-Informatics and Engineering: Infra-Structure Systems Engineering, Bio-Informatics and Computational Biology, Evolutionary Computation, Volume 16, edited by Cihan H. Computational Biology, Evolutionary Computation, Volume 16, edited by Cihan H. Dagli, Anna L. Buczak, David L. Enke, Mark Embrechts, and Okan Ersoy, 2006 Dagli, Anna L. Buczak, David L. Enke, Mark Embrechts, and Okan Ersoy, 2006 Intelligent Engineering Systems Through Artificial Neural Networks: Smart Systems Intelligent Engineering Systems Through Artificial Neural Networks: Smart Systems Engineering: Computational Intelligence in Architecting Complex Engineering Engineering: Computational Intelligence in Architecting Complex Engineering Systems, Volume 17, edited by Cihan H. Dagli, Anna L. Buczak, David L. Enke, Systems, Volume 17, edited by Cihan H. Dagli, Anna L. Buczak, David L. Enke, Mark Embrechts, and Okan Ersoy, 2007 Mark Embrechts, and Okan Ersoy, 2007 Intelligent Engineering Systems Through Artificial Neural Networks: Computational Intelligent Engineering Systems Through Artificial Neural Networks: Computational Intelligence in Architecting Engineering Systems, Volume 18, edited by Cihan H. Intelligence in Architecting Engineering Systems, Volume 18, edited by Cihan H. Dagli, David L. Enke, K. Mark Bryden, Halil Ceylan, and Mitsuo Gen, 2008 Dagli, David L. Enke, K. Mark Bryden, Halil Ceylan, and Mitsuo Gen, 2008 Intelligent Engineering Systems Through Artificial Neural Networks: Computational Intelligent Engineering Systems Through Artificial Neural Networks: Computational Intelligence in Architecting Complex Engineering Systems, Volume 19, edited by Intelligence in Architecting Complex Engineering Systems, Volume 19, edited by Cihan H. Dagli, K. Mark Bryden, Steven M. Corns, Mitsuo Gen, Kagan Tumer, and Cihan H. Dagli, K. Mark Bryden, Steven M. Corns, Mitsuo Gen, Kagan Tumer, and Gürsel Süer, 2009 Gürsel Süer, 2009 Downloaded From: http://ebooks.asmedigitalcollection.asme.org/ on 01/28/2016 Terms of Use: http://www.asme.org/about-asme/terms-of-use Downloaded From: http://ebooks.asmedigitalcollection.asme.org/ on 01/28/2016 Terms of Use: http://www.asme.org/about-asme/terms-of-use COMPUTATIONAL INTELLIGENCE IN COMPUTATIONAL INTELLIGENCE IN ARCHITECTING ENGINEERING SYSTEMS ARCHITECTING ENGINEERING SYSTEMS VOLUME 19 VOLUME 19 Proceedings of the Artificial Neural Networks in Engineering Conference Proceedings of the Artificial Neural Networks in Engineering Conference (ANNIE 2009) held November 2-4, 2009, in St. Louis, Missouri, U.S.A. (ANNIE 2009) held November 2-4, 2009, in St. Louis, Missouri, U.S.A. EDITORS EDITORS Cihan H. Dagli Cihan H. Dagli Missouri University of Science & Technology, Missouri Missouri University of Science & Technology, Missouri Rolla, Missouri Rolla, Missouri K. Mark Bryden K. Mark Bryden Iowa State University, Iowa Iowa State University, Iowa Ames, Iowa Ames, Iowa Steven M. Corns Steven M. Corns Missouri University of Science & Technology, Missouri Missouri University of Science & Technology, Missouri Rolla, Missouri Rolla, Missouri Mitsuo Gen Mitsuo Gen Waseda University, Japan Waseda University, Japan Fukuoka, Japan Fukuoka, Japan Kagan Tumer Kagan Tumer Oregon State University Oregon State University Corvallis, Oregon Corvallis, Oregon Gürsel Süer Gürsel Süer Ohio University Ohio University Athens, Ohio Athens, Ohio ASME PRESS NEW YORK 2009 ASME PRESS NEW YORK 2009 COMPUTATIONAL INTELLIGENCE IN COMPUTATIONAL INTELLIGENCE IN ARCHITECTING ENGINEERING SYSTEMS ARCHITECTING ENGINEERING SYSTEMS VOLUME 19 VOLUME 19 Proceedings of the Artificial Neural Networks in Engineering Conference Proceedings of the Artificial Neural Networks in Engineering Conference (ANNIE 2009) held November 2-4, 2009, in St. Louis, Missouri, U.S.A. (ANNIE 2009) held November 2-4, 2009, in St. Louis, Missouri, U.S.A. EDITORS EDITORS Cihan H. Dagli Cihan H. Dagli Missouri University of Science & Technology, Missouri Missouri University of Science & Technology, Missouri Rolla, Missouri Rolla, Missouri K. Mark Bryden K. Mark Bryden Iowa State University, Iowa Iowa State University, Iowa Ames, Iowa Ames, Iowa Steven M. Corns Steven M. Corns Missouri University of Science & Technology, Missouri Missouri University of Science & Technology, Missouri Rolla, Missouri Rolla, Missouri Mitsuo Gen Mitsuo Gen Waseda University, Japan Waseda University, Japan Fukuoka, Japan Fukuoka, Japan Kagan Tumer Kagan Tumer Oregon State University Oregon State University Corvallis, Oregon Corvallis, Oregon Gürsel Süer Gürsel Süer Ohio University Ohio University Athens, Ohio Athens, Ohio ASME PRESS NEW YORK 2009 ASME PRESS NEW YORK 2009 Downloaded From: http://ebooks.asmedigitalcollection.asme.org/ on 01/28/2016 Terms of Use: http://www.asme.org/about-asme/terms-of-use © 2009 by ASME, Three Park Avenue, New York, NY 10016, USA ©© 22000079 bbyy AASSMMEE,, TThhrreeee PPaarrkk AAvveennuuee,, NNeeww YYoorrkk,, NNYY 1100001166,, UUSSAA © 2007 by ASME, Three Park Avenue, New York, NY 10016, USA www.asme.org wwwwww..aassmmee..oorrgg www.asme.org All rights reserved. Printed in the United States of America. Except as AAllll rriigghhttss rreesseerrvveedd.. PPrriinntteedd iinn tthhee UUnniitteedd SSttaatteess ooff AAmmeerriiccaa.. EExxcceepptt aass All rights reserved. Printed in the United States of America. Except as permitted under the United States Copyright Act of 1976, no part of ppeerrmmiitttteedd uunnddeerr tthhee UUnniitteedd SSttaatteess CCooppyyrriigghhtt AAcctt ooff 11997766,, nnoo ppaarrtt ooff permitted under the United States Copyright Act of 1976, no part of this publication may be reproduced or distributed in any form or by tthhiiss ppuubblliiccaattiioonn mmaayy bbee rreepprroodduucceedd oorr ddiissttrriibbuutteedd iinn aannyy ffoorrmm oorr bbyy this publication may be reproduced or distributed in any form or by any means, or stored in a database or retrieval system, without the aannyy mmeeaannss,, oorr ssttoorreedd iinn aa ddaattaabbaassee oorr rreettrriieevvaall ssyysstteemm,, wwiitthhoouutt tthhee any means, or stored in a database or retrieval system, without the prior written permission of the publisher. pprriioorr wwrriitttteenn ppeerrmmiissssiioonn ooff tthhee ppuubblliisshheerr.. prior written permission of the publisher. INFORMATION CONTAINED IN THIS WORK HAS BEEN OBTAINED BY IINNFFOORRMMAATTIIOONN CCOONNTTAAIINNEEDD IINN TTHHIISS WWOORRKK HHAASS BBEEEENN OOBBTTAAIINNEEDD BBYY INFORMATION CONTAINED IN THIS WORK HAS BEEN OBTAINED BY THE AMERICAN SOCIETY OF MECHANICAL ENGINEERS FROM TTHHEE AAMMEERRIICCAANN SSOOCCIIEETTYY OOFF MMEECCHHAANNIICCAALL EENNGGIINNEEEERRSS FFRROOMM THE AMERICAN SOCIETY OF MECHANICAL ENGINEERS FROM SOURCES BELIEVED TO BE RELIABLE. HOWEVER, NEITHER ASME SSOOUURRCCEESS BBEELLIIEEVVEEDD TTOO BBEE RREELLIIAABBLLEE.. HHOOWWEEVVEERR,, NNEEIITTHHEERR AASSMMEE SOURCES BELIEVED TO BE RELIABLE. HOWEVER, NEITHER ASME NOR ITS AUTHORS OR EDITORS GUARANTEE THE ACCURACY OR NNOORR IITTSS AAUUTTHHOORRSS OORR EEDDIITTOORRSS GGUUAARRAANNTTEEEE TTHHEE AACCCCUURRAACCYY OORR NOR ITS AUTHORS OR EDITORS GUARANTEE THE ACCURACY OR COMPLETENESS OF ANY INFORMATION PUBLISHED IN THIS WORK. CCOOMMPPLLEETTEENNEESSSS OOFF AANNYY IINNFFOORRMMAATTIIOONN PPUUBBLLIISSHHEEDD IINN TTHHIISS WWOORRKK.. COMPLETENESS OF ANY INFORMATION PUBLISHED IN THIS WORK. NEITHER ASME NOR ITS AUTHORS AND EDITORS SHALL BE NNEEIITTHHEERR AASSMMEE NNOORR IITTSS AAUUTTHHOORRSS AANNDD EEDDIITTOORRSS SSHHAALLLL BBEE NEITHER ASME NOR ITS AUTHORS AND EDITORS SHALL BE RESPONSIBLE FOR ANY ERRORS, OMISSIONS, OR DAMAGES RREESSPPOONNSSIIBBLLEE FFOORR AANNYY EERRRROORRSS,, OOMMIISSSSIIOONNSS,, OORR DDAAMMAAGGEESS RESPONSIBLE FOR ANY ERRORS, OMISSIONS, OR DAMAGES ARISING OUT OF THE USE OF THIS INFORMATION. THE WORK IS AARRIISSIINNGG OOUUTT OOFF TTHHEE UUSSEE OOFF TTHHIISS IINNFFOORRMMAATTIIOONN.. TTHHEE WWOORRKK IISS ARISING OUT OF THE USE OF THIS INFORMATION. THE WORK IS PUBLISHED WITH THE UNDERSTANDING THAT ASME AND ITS PPUUBBLLIISSHHEEDD WWIITTHH TTHHEE UUNNDDEERRSSTTAANNDDIINNGG TTHHAATT AASSMMEE AANNDD IITTSS PUBLISHED WITH THE UNDERSTANDING THAT ASME AND ITS AUTHORS AND EDITORS ARE SUPPLYING INFORMATION BUT ARE AAUUTTHHOORRSS AANNDD EEDDIITTOORRSS AARREE SSUUPPPPLLYYIINNGG IINNFFOORRMMAATTIIOONN BBUUTT AARREE AUTHORS AND EDITORS ARE SUPPLYING INFORMATION BUT ARE NOT ATTEMPTING TO RENDER ENGINEERING OR OTHER NNOOTT AATTTTEEMMPPTTIINNGG TTOO RREENNDDEERR EENNGGIINNEEEERRIINNGG OORR OOTTHHEERR NOT ATTEMPTING TO RENDER ENGINEERING OR OTHER PROFESSIONAL SERVICES. IF SUCH ENGINEERING OR PPRROOFFEESSSSIIOONNAALL SSEERRVVIICCEESS.. IIFF SSUUCCHH EENNGGIINNEEEERRIINNGG OORR PROFESSIONAL SERVICES. IF SUCH ENGINEERING OR PROFESSIONAL SERVICES ARE REQUIRED, THE ASSISTANCE OF AN PPRROOFFEESSSSIIOONNAALL SSEERRVVIICCEESS AARREE RREEQQUUIIRREEDD,, TTHHEE AASSSSIISSTTAANNCCEE OOFF AANN PROFESSIONAL SERVICES ARE REQUIRED, THE ASSISTANCE OF AN APPROPRIATE PROFESSIONAL SHOULD BE SOUGHT. AAPPPPRROOPPRRIIAATTEE PPRROOFFEESSSSIIOONNAALL SSHHOOUULLDD BBEE SSOOUUGGHHTT.. APPROPRIATE PROFESSIONAL SHOULD BE SOUGHT. ASME shall not be responsible for statements or opinions advanced in AASSMMEE sshhaallll nnoott bbee rreessppoonnssiibbllee ffoorr ssttaatteemmeennttss oorr ooppiinniioonnss aaddvvaanncceedd iinn ASME shall not be responsible for statements or opinions advanced in papers or . . . printed in its publications (B7.1.3). Statement from the ppaappeerrss oorr .. .. .. pprriinntteedd iinn iittss ppuubblliiccaattiioonnss ((BB77..11..33)).. SSttaatteemmeenntt ffrroomm tthhee papers or . . . printed in its publications (B7.1.3). Statement from the Bylaws. BByyllaawwss.. Bylaws. For authorization to photocopy material for internal or personal use FFoorr aauutthhoorriizzaattiioonn ttoo pphhoottooccooppyy mmaatteerriiaall ffoorr iinntteerrnnaall oorr ppeerrssoonnaall uussee For authorization to photocopy material for internal or personal use under those circumstances not falling within the fair use provisions of uunnddeerr tthhoossee cciirrccuummssttaanncceess nnoott ffaalllliinngg wwiitthhiinn tthhee ffaaiirr uussee pprroovviissiioonnss ooff under those circumstances not falling within the fair use provisions of the Copyright Act, contact the Copyright Clearance Center (CCC), 222 tthhee CCooppyyrriigghhtt AAcctt,, ccoonnttaacctt tthhee CCooppyyrriigghhtt CClleeaarraannccee CCeenntteerr ((CCCCCC)),, 222222 the Copyright Act, contact the Copyright Clearance Center (CCC), 222 Rosewood Drive, Danvers, MA 01923, tel: 978-750-8400, RRoosseewwoooodd DDrriivvee,, DDaannvveerrss,, MMAA 0011992233,, tteell:: 997788--775500--88440000,, Rosewood Drive, Danvers, MA 01923, tel: 978-750-8400, www.copyright.com. wwwwww..ccooppyyrriigghhtt..ccoomm.. www.copyright.com. Requests for special permission or bulk reproduction should be addressed to RReeqquueessttss ffoorr ssppeecciiaall ppeerrmmiissssiioonn oorr bbuullkk rreepprroodduuccttiioonn sshhoouulldd bbee aaddddrreesssseedd ttoo Requests for special permission or bulk reproduction should be addressed to the ASME Publishing Department tthhee AASSMMEE PPuubblliisshhiinngg DDeeppaarrttmmeenntt the ASME Publishing Department Library of Congress 92-30949 LLiibbrraarryy ooff CCoonnggrreessss 9922--3300994499 Library of Congress 92-30949 ISBN: 978-0-7918-0295-3 IISSBBNN:: 09-7789-01-87-901286-50-259 5-3 ISBN: 0-7918-0265-5 ASME Order No. 802953 AASSMMEE OOrrddeerr NNoo.. 880022695553 ASME Order No. 802655 ©© 22000079 bbyy AASSMMEE,, TThhrreeee PPaarrkk AAvveennuuee,, NNeeww YYoorrkk,, NNYY 1100001166,, UUSSAA ©©©© 2222000000007779 bbbbyyyy AAAASSSSMMMMEEEE,,,, TTTThhhhrrrreeeeeeee PPPPaaaarrrrkkkk AAAAvvvveeeennnnuuuueeee,,,, NNNNeeeewwww YYYYoooorrrrkkkk,,,, NNNNYYYY 11110000000011116666,,,, UUUUSSSSAAAA ©© 22000077 bbyy AASSMMEE,, TThhrreeee PPaarrkk AAvveennuuee,, NNeeww YYoorrkk,, NNYY 1100001166,, UUSSAA wwwwww..aassmmee..oorrgg wwwwwwwwwwww....aaaassssmmmmeeee....oooorrrrgggg wwwwww..aassmmee..oorrgg AAllll rriigghhttss rreesseerrvveedd.. PPrriinntteedd iinn tthhee UUnniitteedd SSttaatteess ooff AAmmeerriiccaa.. EExxcceepptt aass AAAAllllllll rrrriiiigggghhhhttttssss rrrreeeesssseeeerrrrvvvveeeedddd.... PPPPrrrriiiinnnntttteeeedddd iiiinnnn tttthhhheeee UUUUnnnniiiitttteeeedddd SSSSttttaaaatttteeeessss ooooffff AAAAmmmmeeeerrrriiiiccccaaaa.... EEEExxxxcccceeeepppptttt aaaassss AAllll rriigghhttss rreesseerrvveedd.. PPrriinntteedd iinn tthhee UUnniitteedd SSttaatteess ooff AAmmeerriiccaa.. EExxcceepptt aass ppeerrmmiitttteedd uunnddeerr tthhee UUnniitteedd SSttaatteess CCooppyyrriigghhtt AAcctt ooff 11997766,, nnoo ppaarrtt ooff ppppeeeerrrrmmmmiiiitttttttteeeedddd uuuunnnnddddeeeerrrr tttthhhheeee UUUUnnnniiiitttteeeedddd SSSSttttaaaatttteeeessss CCCCooooppppyyyyrrrriiiigggghhhhtttt AAAAcccctttt ooooffff 1111999977776666,,,, nnnnoooo ppppaaaarrrrtttt ooooffff ppeerrmmiitttteedd uunnddeerr tthhee UUnniitteedd SSttaatteess CCooppyyrriigghhtt AAcctt ooff 11997766,, nnoo ppaarrtt ooff tthhiiss ppuubblliiccaattiioonn mmaayy bbee rreepprroodduucceedd oorr ddiissttrriibbuutteedd iinn aannyy ffoorrmm oorr bbyy tttthhhhiiiissss ppppuuuubbbblllliiiiccccaaaattttiiiioooonnnn mmmmaaaayyyy bbbbeeee rrrreeeepppprrrroooodddduuuucccceeeedddd oooorrrr ddddiiiissssttttrrrriiiibbbbuuuutttteeeedddd iiiinnnn aaaannnnyyyy ffffoooorrrrmmmm oooorrrr bbbbyyyy tthhiiss ppuubblliiccaattiioonn mmaayy bbee rreepprroodduucceedd oorr ddiissttrriibbuutteedd iinn aannyy ffoorrmm oorr bbyy aannyy mmeeaannss,, oorr ssttoorreedd iinn aa ddaattaabbaassee oorr rreettrriieevvaall ssyysstteemm,, wwiitthhoouutt tthhee aaaannnnyyyy mmmmeeeeaaaannnnssss,,,, oooorrrr ssssttttoooorrrreeeedddd iiiinnnn aaaa ddddaaaattttaaaabbbbaaaasssseeee oooorrrr rrrreeeettttrrrriiiieeeevvvvaaaallll ssssyyyysssstttteeeemmmm,,,, wwwwiiiitttthhhhoooouuuutttt tttthhhheeee aannyy mmeeaannss,, oorr ssttoorreedd iinn aa ddaattaabbaassee oorr rreettrriieevvaall ssyysstteemm,, wwiitthhoouutt tthhee pprriioorr wwrriitttteenn ppeerrmmiissssiioonn ooff tthhee ppuubblliisshheerr.. pppprrrriiiioooorrrr wwwwrrrriiiitttttttteeeennnn ppppeeeerrrrmmmmiiiissssssssiiiioooonnnn ooooffff tttthhhheeee ppppuuuubbbblllliiiisssshhhheeeerrrr.... pprriioorr wwrriitttteenn ppeerrmmiissssiioonn ooff tthhee ppuubblliisshheerr.. IINNFFOORRMMAATTIIOONN CCOONNTTAAIINNEEDD IINN TTHHIISS WWOORRKK HHAASS BBEEEENN OOBBTTAAIINNEEDD BBYY IIIINNNNFFFFOOOORRRRMMMMAAAATTTTIIIIOOOONNNN CCCCOOOONNNNTTTTAAAAIIIINNNNEEEEDDDD IIIINNNN TTTTHHHHIIIISSSS WWWWOOOORRRRKKKK HHHHAAAASSSS BBBBEEEEEEEENNNN OOOOBBBBTTTTAAAAIIIINNNNEEEEDDDD BBBBYYYY IINNFFOORRMMAATTIIOONN CCOONNTTAAIINNEEDD IINN TTHHIISS WWOORRKK HHAASS BBEEEENN OOBBTTAAIINNEEDD BBYY TTHHEE AAMMEERRIICCAANN SSOOCCIIEETTYY OOFF MMEECCHHAANNIICCAALL EENNGGIINNEEEERRSS FFRROOMM TTTTHHHHEEEE AAAAMMMMEEEERRRRIIIICCCCAAAANNNN SSSSOOOOCCCCIIIIEEEETTTTYYYY OOOOFFFF MMMMEEEECCCCHHHHAAAANNNNIIIICCCCAAAALLLL EEEENNNNGGGGIIIINNNNEEEEEEEERRRRSSSS FFFFRRRROOOOMMMM TTHHEE AAMMEERRIICCAANN SSOOCCIIEETTYY OOFF MMEECCHHAANNIICCAALL EENNGGIINNEEEERRSS FFRROOMM SSOOUURRCCEESS BBEELLIIEEVVEEDD TTOO BBEE RREELLIIAABBLLEE.. HHOOWWEEVVEERR,, NNEEIITTHHEERR AASSMMEE SSSSOOOOUUUURRRRCCCCEEEESSSS BBBBEEEELLLLIIIIEEEEVVVVEEEEDDDD TTTTOOOO BBBBEEEE RRRREEEELLLLIIIIAAAABBBBLLLLEEEE.... HHHHOOOOWWWWEEEEVVVVEEEERRRR,,,, NNNNEEEEIIIITTTTHHHHEEEERRRR AAAASSSSMMMMEEEE SSOOUURRCCEESS BBEELLIIEEVVEEDD TTOO BBEE RREELLIIAABBLLEE.. HHOOWWEEVVEERR,, NNEEIITTHHEERR AASSMMEE NNOORR IITTSS AAUUTTHHOORRSS OORR EEDDIITTOORRSS GGUUAARRAANNTTEEEE TTHHEE AACCCCUURRAACCYY OORR NNNNOOOORRRR IIIITTTTSSSS AAAAUUUUTTTTHHHHOOOORRRRSSSS OOOORRRR EEEEDDDDIIIITTTTOOOORRRRSSSS GGGGUUUUAAAARRRRAAAANNNNTTTTEEEEEEEE TTTTHHHHEEEE AAAACCCCCCCCUUUURRRRAAAACCCCYYYY OOOORRRR NNOORR IITTSS AAUUTTHHOORRSS OORR EEDDIITTOORRSS GGUUAARRAANNTTEEEE TTHHEE AACCCCUURRAACCYY OORR CCOOMMPPLLEETTEENNEESSSS OOFF AANNYY IINNFFOORRMMAATTIIOONN PPUUBBLLIISSHHEEDD IINN TTHHIISS WWOORRKK.. CCCCOOOOMMMMPPPPLLLLEEEETTTTEEEENNNNEEEESSSSSSSS OOOOFFFF AAAANNNNYYYY IIIINNNNFFFFOOOORRRRMMMMAAAATTTTIIIIOOOONNNN PPPPUUUUBBBBLLLLIIIISSSSHHHHEEEEDDDD IIIINNNN TTTTHHHHIIIISSSS WWWWOOOORRRRKKKK.... CCOOMMPPLLEETTEENNEESSSS OOFF AANNYY IINNFFOORRMMAATTIIOONN PPUUBBLLIISSHHEEDD IINN TTHHIISS WWOORRKK.. NNEEIITTHHEERR AASSMMEE NNOORR IITTSS AAUUTTHHOORRSS AANNDD EEDDIITTOORRSS SSHHAALLLL BBEE NNNNEEEEIIIITTTTHHHHEEEERRRR AAAASSSSMMMMEEEE NNNNOOOORRRR IIIITTTTSSSS AAAAUUUUTTTTHHHHOOOORRRRSSSS AAAANNNNDDDD EEEEDDDDIIIITTTTOOOORRRRSSSS SSSSHHHHAAAALLLLLLLL BBBBEEEE NNEEIITTHHEERR AASSMMEE NNOORR IITTSS AAUUTTHHOORRSS AANNDD EEDDIITTOORRSS SSHHAALLLL BBEE RREESSPPOONNSSIIBBLLEE FFOORR AANNYY EERRRROORRSS,, OOMMIISSSSIIOONNSS,, OORR DDAAMMAAGGEESS RRRREEEESSSSPPPPOOOONNNNSSSSIIIIBBBBLLLLEEEE FFFFOOOORRRR AAAANNNNYYYY EEEERRRRRRRROOOORRRRSSSS,,,, OOOOMMMMIIIISSSSSSSSIIIIOOOONNNNSSSS,,,, OOOORRRR DDDDAAAAMMMMAAAAGGGGEEEESSSS RREESSPPOONNSSIIBBLLEE FFOORR AANNYY EERRRROORRSS,, OOMMIISSSSIIOONNSS,, OORR DDAAMMAAGGEESS AARRIISSIINNGG OOUUTT OOFF TTHHEE UUSSEE OOFF TTHHIISS IINNFFOORRMMAATTIIOONN.. TTHHEE WWOORRKK IISS AAAARRRRIIIISSSSIIIINNNNGGGG OOOOUUUUTTTT OOOOFFFF TTTTHHHHEEEE UUUUSSSSEEEE OOOOFFFF TTTTHHHHIIIISSSS IIIINNNNFFFFOOOORRRRMMMMAAAATTTTIIIIOOOONNNN.... TTTTHHHHEEEE WWWWOOOORRRRKKKK IIIISSSS AARRIISSIINNGG OOUUTT OOFF TTHHEE UUSSEE OOFF TTHHIISS IINNFFOORRMMAATTIIOONN.. TTHHEE WWOORRKK IISS PPUUBBLLIISSHHEEDD WWIITTHH TTHHEE UUNNDDEERRSSTTAANNDDIINNGG TTHHAATT AASSMMEE AANNDD IITTSS PPPPUUUUBBBBLLLLIIIISSSSHHHHEEEEDDDD WWWWIIIITTTTHHHH TTTTHHHHEEEE UUUUNNNNDDDDEEEERRRRSSSSTTTTAAAANNNNDDDDIIIINNNNGGGG TTTTHHHHAAAATTTT AAAASSSSMMMMEEEE AAAANNNNDDDD IIIITTTTSSSS PPUUBBLLIISSHHEEDD WWIITTHH TTHHEE UUNNDDEERRSSTTAANNDDIINNGG TTHHAATT AASSMMEE AANNDD IITTSS AAUUTTHHOORRSS AANNDD EEDDIITTOORRSS AARREE SSUUPPPPLLYYIINNGG IINNFFOORRMMAATTIIOONN BBUUTT AARREE AAAAUUUUTTTTHHHHOOOORRRRSSSS AAAANNNNDDDD EEEEDDDDIIIITTTTOOOORRRRSSSS AAAARRRREEEE SSSSUUUUPPPPPPPPLLLLYYYYIIIINNNNGGGG IIIINNNNFFFFOOOORRRRMMMMAAAATTTTIIIIOOOONNNN BBBBUUUUTTTT AAAARRRREEEE AAUUTTHHOORRSS AANNDD EEDDIITTOORRSS AARREE SSUUPPPPLLYYIINNGG IINNFFOORRMMAATTIIOONN BBUUTT AARREE NNOOTT AATTTTEEMMPPTTIINNGG TTOO RREENNDDEERR EENNGGIINNEEEERRIINNGG OORR OOTTHHEERR NNNNOOOOTTTT AAAATTTTTTTTEEEEMMMMPPPPTTTTIIIINNNNGGGG TTTTOOOO RRRREEEENNNNDDDDEEEERRRR EEEENNNNGGGGIIIINNNNEEEEEEEERRRRIIIINNNNGGGG OOOORRRR OOOOTTTTHHHHEEEERRRR NNOOTT AATTTTEEMMPPTTIINNGG TTOO RREENNDDEERR EENNGGIINNEEEERRIINNGG OORR OOTTHHEERR PPRROOFFEESSSSIIOONNAALL SSEERRVVIICCEESS.. IIFF SSUUCCHH EENNGGIINNEEEERRIINNGG OORR PPPPRRRROOOOFFFFEEEESSSSSSSSIIIIOOOONNNNAAAALLLL SSSSEEEERRRRVVVVIIIICCCCEEEESSSS.... IIIIFFFF SSSSUUUUCCCCHHHH EEEENNNNGGGGIIIINNNNEEEEEEEERRRRIIIINNNNGGGG OOOORRRR PPRROOFFEESSSSIIOONNAALL SSEERRVVIICCEESS.. IIFF SSUUCCHH EENNGGIINNEEEERRIINNGG OORR PPRROOFFEESSSSIIOONNAALL SSEERRVVIICCEESS AARREE RREEQQUUIIRREEDD,, TTHHEE AASSSSIISSTTAANNCCEE OOFF AANN PPPPRRRROOOOFFFFEEEESSSSSSSSIIIIOOOONNNNAAAALLLL SSSSEEEERRRRVVVVIIIICCCCEEEESSSS AAAARRRREEEE RRRREEEEQQQQUUUUIIIIRRRREEEEDDDD,,,, TTTTHHHHEEEE AAAASSSSSSSSIIIISSSSTTTTAAAANNNNCCCCEEEE OOOOFFFF AAAANNNN PPRROOFFEESSSSIIOONNAALL SSEERRVVIICCEESS AARREE RREEQQUUIIRREEDD,, TTHHEE AASSSSIISSTTAANNCCEE OOFF AANN AAPPPPRROOPPRRIIAATTEE PPRROOFFEESSSSIIOONNAALL SSHHOOUULLDD BBEE SSOOUUGGHHTT.. AAAAPPPPPPPPRRRROOOOPPPPRRRRIIIIAAAATTTTEEEE PPPPRRRROOOOFFFFEEEESSSSSSSSIIIIOOOONNNNAAAALLLL SSSSHHHHOOOOUUUULLLLDDDD BBBBEEEE SSSSOOOOUUUUGGGGHHHHTTTT.... AAPPPPRROOPPRRIIAATTEE PPRROOFFEESSSSIIOONNAALL SSHHOOUULLDD BBEE SSOOUUGGHHTT.. AASSMMEE sshhaallll nnoott bbee rreessppoonnssiibbllee ffoorr ssttaatteemmeennttss oorr ooppiinniioonnss aaddvvaanncceedd iinn AAAASSSSMMMMEEEE sssshhhhaaaallllllll nnnnooootttt bbbbeeee rrrreeeessssppppoooonnnnssssiiiibbbblllleeee ffffoooorrrr ssssttttaaaatttteeeemmmmeeeennnnttttssss oooorrrr ooooppppiiiinnnniiiioooonnnnssss aaaaddddvvvvaaaannnncccceeeedddd iiiinnnn AASSMMEE sshhaallll nnoott bbee rreessppoonnssiibbllee ffoorr ssttaatteemmeennttss oorr ooppiinniioonnss aaddvvaanncceedd iinn ppaappeerrss oorr .. .. .. pprriinntteedd iinn iittss ppuubblliiccaattiioonnss ((BB77..11..33)).. SSttaatteemmeenntt ffrroomm tthhee ppppaaaappppeeeerrrrssss oooorrrr .... .... .... pppprrrriiiinnnntttteeeedddd iiiinnnn iiiittttssss ppppuuuubbbblllliiiiccccaaaattttiiiioooonnnnssss ((((BBBB7777....1111....3333)))).... SSSSttttaaaatttteeeemmmmeeeennnntttt ffffrrrroooommmm tttthhhheeee ppaappeerrss oorr .. .. .. pprriinntteedd iinn iittss ppuubblliiccaattiioonnss ((BB77..11..33)).. SSttaatteemmeenntt ffrroomm tthhee BByyllaawwss.. BBBByyyyllllaaaawwwwssss.... BByyllaawwss.. FFoorr aauutthhoorriizzaattiioonn ttoo pphhoottooccooppyy mmaatteerriiaall ffoorr iinntteerrnnaall oorr ppeerrssoonnaall uussee FFFFoooorrrr aaaauuuutttthhhhoooorrrriiiizzzzaaaattttiiiioooonnnn ttttoooo pppphhhhoooottttooooccccooooppppyyyy mmmmaaaatttteeeerrrriiiiaaaallll ffffoooorrrr iiiinnnntttteeeerrrrnnnnaaaallll oooorrrr ppppeeeerrrrssssoooonnnnaaaallll uuuusssseeee FFoorr aauutthhoorriizzaattiioonn ttoo pphhoottooccooppyy mmaatteerriiaall ffoorr iinntteerrnnaall oorr ppeerrssoonnaall uussee uunnddeerr tthhoossee cciirrccuummssttaanncceess nnoott ffaalllliinngg wwiitthhiinn tthhee ffaaiirr uussee pprroovviissiioonnss ooff uuuunnnnddddeeeerrrr tttthhhhoooosssseeee cccciiiirrrrccccuuuummmmssssttttaaaannnncccceeeessss nnnnooootttt ffffaaaalllllllliiiinnnngggg wwwwiiiitttthhhhiiiinnnn tttthhhheeee ffffaaaaiiiirrrr uuuusssseeee pppprrrroooovvvviiiissssiiiioooonnnnssss ooooffff uunnddeerr tthhoossee cciirrccuummssttaanncceess nnoott ffaalllliinngg wwiitthhiinn tthhee ffaaiirr uussee pprroovviissiioonnss ooff tthhee CCooppyyrriigghhtt AAcctt,, ccoonnttaacctt tthhee CCooppyyrriigghhtt CClleeaarraannccee CCeenntteerr ((CCCCCC)),, 222222 tttthhhheeee CCCCooooppppyyyyrrrriiiigggghhhhtttt AAAAcccctttt,,,, ccccoooonnnnttttaaaacccctttt tttthhhheeee CCCCooooppppyyyyrrrriiiigggghhhhtttt CCCClllleeeeaaaarrrraaaannnncccceeee CCCCeeeennnntttteeeerrrr ((((CCCCCCCCCCCC)))),,,, 222222222222 tthhee CCooppyyrriigghhtt AAcctt,, ccoonnttaacctt tthhee CCooppyyrriigghhtt CClleeaarraannccee CCeenntteerr ((CCCCCC)),, 222222 RRoosseewwoooodd DDrriivvee,, DDaannvveerrss,, MMAA 0011992233,, tteell:: 997788--775500--88440000,, RRRRoooosssseeeewwwwoooooooodddd DDDDrrrriiiivvvveeee,,,, DDDDaaaannnnvvvveeeerrrrssss,,,, MMMMAAAA 00001111999922223333,,,, tttteeeellll:::: 999977778888----777755550000----8888444400000000,,,, RRoosseewwoooodd DDrriivvee,, DDaannvveerrss,, MMAA 0011992233,, tteell:: 997788--775500--88440000,, wwwwww..ccooppyyrriigghhtt..ccoomm.. wwwwwwwwwwww....ccccooooppppyyyyrrrriiiigggghhhhtttt....ccccoooommmm.... wwwwww..ccooppyyrriigghhtt..ccoomm.. RReeqquueessttss ffoorr ssppeecciiaall ppeerrmmiissssiioonn oorr bbuullkk rreepprroodduuccttiioonn sshhoouulldd bbee aaddddrreesssseedd ttoo RRRReeeeqqqquuuueeeessssttttssss ffffoooorrrr ssssppppeeeecccciiiiaaaallll ppppeeeerrrrmmmmiiiissssssssiiiioooonnnn oooorrrr bbbbuuuullllkkkk rrrreeeepppprrrroooodddduuuuccccttttiiiioooonnnn sssshhhhoooouuuulllldddd bbbbeeee aaaaddddddddrrrreeeesssssssseeeedddd ttttoooo RReeqquueessttss ffoorr ssppeecciiaall ppeerrmmiissssiioonn oorr bbuullkk rreepprroodduuccttiioonn sshhoouulldd bbee aaddddrreesssseedd ttoo tthhee AASSMMEE PPuubblliisshhiinngg DDeeppaarrttmmeenntt tttthhhheeee AAAASSSSMMMMEEEE PPPPuuuubbbblllliiiisssshhhhiiiinnnngggg DDDDeeeeppppaaaarrrrttttmmmmeeeennnntttt tthhee AASSMMEE PPuubblliisshhiinngg DDeeppaarrttmmeenntt LLiibbrraarryy ooff CCoonnggrreessss 9922--3300994499 LLLLiiiibbbbrrrraaaarrrryyyy ooooffff CCCCoooonnnnggggrrrreeeessssssss 99992222----33330000999944449999 LLiibbrraarryy ooff CCoonnggrreessss 9922--3300994499 IISSBBNN:: 09-7789-01-87-901286-50-259 5-3 IIIISSSSBBBBNNNN:::: 0009---77778999-0111-8887---900012228666-5550---25559 5-3 IISSBBNN:: 00--77991188--00226655--55 AASSMMEE OOrrddeerr NNoo.. 880022695553 AAAASSSSMMMMEEEE OOOOrrrrddddeeeerrrr NNNNoooo.... 888800002222666955555553 AASSMMEE OOrrddeerr NNoo.. 880022665555 Downloaded From: http://ebooks.asmedigitalcollection.asme.org/ on 01/28/2016 Terms of Use: http://www.asme.org/about-asme/terms-of-use © 2007 by ASME, Three Park Avenue, New York, NY 10016, USA ©© 22000077 bbyy AASSMMEE,, TThhrreeee PPaarrkk AAvveennuuee,, NNeeww YYoorrkk,, NNYY 1100001166,, UUSSAA © 2007 by ASME, Three Park Avenue, New York, NY 10016, USA www.asme.org wwwwww..aassmmee..oorrgg www.asme.org All rights reserved. Printed in the United States of America. Except as AAllll rriigghhttss rreesseerrvveedd.. PPrriinntteedd iinn tthhee UUnniitteedd SSttaatteess ooff AAmmeerriiccaa.. EExxcceepptt aass All rights reserved. Printed in the United States of America. Except as permitted under the United States Copyright Act of 1976, no part of ppeerrmmiitttteedd uunnddeerr tthhee UUnniitteedd SSttaatteess CCooppyyrriigghhtt AAcctt ooff 11997766,, nnoo ppaarrtt ooff permitted under the United States Copyright Act of 1976, no part of this publication may be reproduced or distributed in any form or by tthhiiss ppuubblliiccaattiioonn mmaayy bbee rreepprroodduucceedd oorr ddiissttrriibbuutteedd iinn aannyy ffoorrmm oorr bbyy this publication may be reproduced or distributed in any form or by any means, or stored in a database or retrieval system, without the aannyy mmeeaannss,, oorr ssttoorreedd iinn aa ddaattaabbaassee oorr rreettrriieevvaall ssyysstteemm,, wwiitthhoouutt tthhee any means, or stored in a database or retrieval system, without the prior written permission of the publisher. pprriioorr wwrriitttteenn ppeerrmmiissssiioonn ooff tthhee ppuubblliisshheerr.. prior written permission of the publisher. INFORMATION CONTAINED IN THIS WORK HAS BEEN OBTAINED BY IINNFFOORRMMAATTIIOONN CCOONNTTAAIINNEEDD IINN TTHHIISS WWOORRKK HHAASS BBEEEENN OOBBTTAAIINNEEDD BBYY INFORMATION CONTAINED IN THIS WORK HAS BEEN OBTAINED BY THE AMERICAN SOCIETY OF MECHANICAL ENGINEERS FROM TTHHEE AAMMEERRIICCAANN SSOOCCIIEETTYY OOFF MMEECCHHAANNIICCAALL EENNGGIINNEEEERRSS FFRROOMM THE AMERICAN SOCIETY OF MECHANICAL ENGINEERS FROM SOURCES BELIEVED TO BE RELIABLE. HOWEVER, NEITHER ASME SSOOUURRCCEESS BBEELLIIEEVVEEDD TTOO BBEE RREELLIIAABBLLEE.. HHOOWWEEVVEERR,, NNEEIITTHHEERR AASSMMEE SOURCES BELIEVED TO BE RELIABLE. HOWEVER, NEITHER ASME NOR ITS AUTHORS OR EDITORS GUARANTEE THE ACCURACY OR NNOORR IITTSS AAUUTTHHOORRSS OORR EEDDIITTOORRSS GGUUAARRAANNTTEEEE TTHHEE AACCCCUURRAACCYY OORR NOR ITS AUTHORS OR EDITORS GUARANTEE THE ACCURACY OR COMPLETENESS OF ANY INFORMATION PUBLISHED IN THIS WORK. CCOOMMPPLLEETTEENNEESSSS OOFF AANNYY IINNFFOORRMMAATTIIOONN PPUUBBLLIISSHHEEDD IINN TTHHIISS WWOORRKK.. COMPLETENESS OF ANY INFORMATION PUBLISHED IN THIS WORK. NEITHER ASME NOR ITS AUTHORS AND EDITORS SHALL BE NNEEIITTHHEERR AASSMMEE NNOORR IITTSS AAUUTTHHOORRSS AANNDD EEDDIITTOORRSS SSHHAALLLL BBEE NEITHER ASME NOR ITS AUTHORS AND EDITORS SHALL BE RESPONSIBLE FOR ANY ERRORS, OMISSIONS, OR DAMAGES RREESSPPOONNSSIIBBLLEE FFOORR AANNYY EERRRROORRSS,, OOMMIISSSSIIOONNSS,, OORR DDAAMMAAGGEESS RESPONSIBLE FOR ANY ERRORS, OMISSIONS, OR DAMAGES ARISING OUT OF THE USE OF THIS INFORMATION. THE WORK IS AARRIISSIINNGG OOUUTT OOFF TTHHEE UUSSEE OOFF TTHHIISS IINNFFOORRMMAATTIIOONN.. TTHHEE WWOORRKK IISS ARISING OUT OF THE USE OF THIS INFORMATION. THE WORK IS PUBLISHED WITH THE UNDERSTANDING THAT ASME AND ITS PPUUBBLLIISSHHEEDD WWIITTHH TTHHEE UUNNDDEERRSSTTAANNDDIINNGG TTHHAATT AASSMMEE AANNDD IITTSS PUBLISHED WITH THE UNDERSTANDING THAT ASME AND ITS AUTHORS AND EDITORS ARE SUPPLYING INFORMATION BUT ARE AAUUTTHHOORRSS AANNDD EEDDIITTOORRSS AARREE SSUUPPPPLLYYIINNGG IINNFFOORRMMAATTIIOONN BBUUTT AARREE AUTHORS AND EDITORS ARE SUPPLYING INFORMATION BUT ARE NOT ATTEMPTING TO RENDER ENGINEERING OR OTHER NNOOTT AATTTTEEMMPPTTIINNGG TTOO RREENNDDEERR EENNGGIINNEEEERRIINNGG OORR OOTTHHEERR NOT ATTEMPTING TO RENDER ENGINEERING OR OTHER PROFESSIONAL SERVICES. IF SUCH ENGINEERING OR PPRROOFFEESSSSIIOONNAALL SSEERRVVIICCEESS.. IIFF SSUUCCHH EENNGGIINNEEEERRIINNGG OORR PROFESSIONAL SERVICES. IF SUCH ENGINEERING OR PROFESSIONAL SERVICES ARE REQUIRED, THE ASSISTANCE OF AN PPRROOFFEESSSSIIOONNAALL SSEERRVVIICCEESS AARREE RREEQQUUIIRREEDD,, TTHHEE AASSSSIISSTTAANNCCEE OOFF AANN PROFESSIONAL SERVICES ARE REQUIRED, THE ASSISTANCE OF AN APPROPRIATE PROFESSIONAL SHOULD BE SOUGHT. AAPPPPRROOPPRRIIAATTEE PPRROOFFEESSSSIIOONNAALL SSHHOOUULLDD BBEE SSOOUUGGHHTT.. APPROPRIATE PROFESSIONAL SHOULD BE SOUGHT. ASME shall not be responsible for statements or opinions advanced in AASSMMEE sshhaallll nnoott bbee rreessppoonnssiibbllee ffoorr ssttaatteemmeennttss oorr ooppiinniioonnss aaddvvaanncceedd iinn ASME shall not be responsible for statements or opinions advanced in papers or . . . printed in its publications (B7.1.3). Statement from the ppaappeerrss oorr .. .. .. pprriinntteedd iinn iittss ppuubblliiccaattiioonnss ((BB77..11..33)).. SSttaatteemmeenntt ffrroomm tthhee papers or . . . printed in its publications (B7.1.3). Statement from the Bylaws. BByyllaawwss.. Bylaws. For authorization to photocopy material for internal or personal use FFoorr aauutthhoorriizzaattiioonn ttoo pphhoottooccooppyy mmaatteerriiaall ffoorr iinntteerrnnaall oorr ppeerrssoonnaall uussee For authorization to photocopy material for internal or personal use under those circumstances not falling within the fair use provisions of uunnddeerr tthhoossee cciirrccuummssttaanncceess nnoott ffaalllliinngg wwiitthhiinn tthhee ffaaiirr uussee pprroovviissiioonnss ooff under those circumstances not falling within the fair use provisions of the Copyright Act, contact the Copyright Clearance Center (CCC), 222 tthhee CCooppyyrriigghhtt AAcctt,, ccoonnttaacctt tthhee CCooppyyrriigghhtt CClleeaarraannccee CCeenntteerr ((CCCCCC)),, 222222 the Copyright Act, contact the Copyright Clearance Center (CCC), 222 Rosewood Drive, Danvers, MA 01923, tel: 978-750-8400, RRoosseewwoooodd DDrriivvee,, DDaannvveerrss,, MMAA 0011992233,, tteell:: 997788--775500--88440000,, Rosewood Drive, Danvers, MA 01923, tel: 978-750-8400, www.copyright.com. wwwwww..ccooppyyrriigghhtt..ccoomm.. www.copyright.com. Requests for special permission or bulk reproduction should be addressed to RReeqquueessttss ffoorr ssppeecciiaall ppeerrmmiissssiioonn oorr bbuullkk rreepprroodduuccttiioonn sshhoouulldd bbee aaddddrreesssseedd ttoo Requests for special permission or bulk reproduction should be addressed to the ASME Publishing Department tthhee AASSMMEE PPuubblliisshhiinngg DDeeppaarrttmmeenntt the ASME Publishing Department Library of Congress 92-30949 LLiibbrraarryy ooff CCoonnggrreessss 9922--3300994499 Library of Congress 92-30949 ISBN: 0-7918-0265-5 IISSBBNN:: 00--77991188--00226655--55 ISBN: 0-7918-0265-5 ASME Order No. 802655 AASSMMEE OOrrddeerr NNoo.. 880022665555 ASME Order No. 802655 vii vii Contents Contents Preface Preface Part I: Architecting Complex Engineering Systems 1 Part I: Architecting Complex Engineering Systems 1 A Neural Network Approach to Modeling System Integration Sensitivity 3 A Neural Network Approach to Modeling System Integration Sensitivity 3 For Architectural Assessment For Architectural Assessment Jason P. Dauby, Cihan H. Dagli Jason P. Dauby, Cihan H. Dagli Coupled Non-Homogeneous Chaos Synchronization 11 Coupled Non-Homogeneous Chaos Synchronization 11 Davoud Arasteh Davoud Arasteh The Algorithm of Temporal Locality for Nonlinear Analysis of Chaotic 19 The Algorithm of Temporal Locality for Nonlinear Analysis of Chaotic 19 Signals Mapped Through Multidimensional Phase Space Signals Mapped Through Multidimensional Phase Space Victor F. Dailyudenko Victor F. Dailyudenko Induction of Virtual Sensors with Function Stacks 27 Induction of Virtual Sensors with Function Stacks 27 Daniel Ashlock, Adam Shuttleworth, Kenneth M. Bryden Daniel Ashlock, Adam Shuttleworth, Kenneth M. Bryden Real-Time Prediction Using Kernel Methods and Data Assimilation 35 Real-Time Prediction Using Kernel Methods and Data Assimilation 35 Robin C. Gilbert, Theodore B. Trafalis Robin C. Gilbert, Theodore B. Trafalis Michael B. Richman, S. Lakshmivarahan Michael B. Richman, S. Lakshmivarahan Weak Key Analysis of Cellular Automata-Based Random Number 43 Weak Key Analysis of Cellular Automata-Based Random Number 43 Generation and Secret Key Cryptography Generation and Secret Key Cryptography Frederic Pinel, Pascal Bouvry, Franciszek Seredynski Frederic Pinel, Pascal Bouvry, Franciszek Seredynski Parasom: An Efficient Self-Organizing Map for Parallel Multidimensional 51 Parasom: An Efficient Self-Organizing Map for Parallel Multidimensional 51 Input Processing and Clustering Input Processing and Clustering Iren Valova, Daniel MacLean, Derek Beaton Iren Valova, Daniel MacLean, Derek Beaton Threat Anticipation and Deceptive Reasoning Using Bayesian Belief Networks 59 Threat Anticipation and Deceptive Reasoning Using Bayesian Belief Networks 59 Glenn O. Allgood, Mohammed M. Olama, Joe E. Lake Glenn O. Allgood, Mohammed M. Olama, Joe E. Lake Modeling and Performance Evaluation for Aviation Security Cargo 67 Modeling and Performance Evaluation for Aviation Security Cargo 67 Inspection Queuing System Inspection Queuing System Glenn O. Allgood, Mohammed M. Olama Glenn O. Allgood, Mohammed M. Olama Terri A. Rose, Daryl Brumback Terri A. Rose, Daryl Brumback Self-Organized Kernel Fuzzy Clustering Method and Its Evaluation 75 Self-Organized Kernel Fuzzy Clustering Method and Its Evaluation 75 For the Number of Clusters Based on Alignment of Similarities For the Number of Clusters Based on Alignment of Similarities Mika Sato-Ilic, Tomoyuki Kuwata Mika Sato-Ilic, Tomoyuki Kuwata Optimization of Modular Neural Networks with Type-2 Fuzzy Integration Using 83 Optimization of Modular Neural Networks with Type-2 Fuzzy Integration Using 83 General Evolutionary Method with Application In Multimodal Biometry General Evolutionary Method with Application In Multimodal Biometry Denisse Hidalgo, Patricia Melin Denisse Hidalgo, Patricia Melin Guillermo Licea, Oscar Castillo Guillermo Licea, Oscar Castillo A Search for Barker Like Ternary Sequences for Direct Sequence CDMA 91 A Search for Barker Like Ternary Sequences for Direct Sequence CDMA 91 N. Rajaiah, K. Subba Rao N. Rajaiah, K. Subba Rao vii vii Contents Contents Preface Preface Part I: Architecting Complex Engineering Systems 1 Part I: Architecting Complex Engineering Systems 1 A Neural Network Approach to Modeling System Integration Sensitivity 3 A Neural Network Approach to Modeling System Integration Sensitivity 3 For Architectural Assessment For Architectural Assessment Jason P. Dauby, Cihan H. Dagli Jason P. Dauby, Cihan H. Dagli Coupled Non-Homogeneous Chaos Synchronization 11 Coupled Non-Homogeneous Chaos Synchronization 11 Davoud Arasteh Davoud Arasteh The Algorithm of Temporal Locality for Nonlinear Analysis of Chaotic 19 The Algorithm of Temporal Locality for Nonlinear Analysis of Chaotic 19 Signals Mapped Through Multidimensional Phase Space Signals Mapped Through Multidimensional Phase Space Victor F. Dailyudenko Victor F. Dailyudenko Induction of Virtual Sensors with Function Stacks 27 Induction of Virtual Sensors with Function Stacks 27 Daniel Ashlock, Adam Shuttleworth, Kenneth M. Bryden Daniel Ashlock, Adam Shuttleworth, Kenneth M. Bryden Real-Time Prediction Using Kernel Methods and Data Assimilation 35 Real-Time Prediction Using Kernel Methods and Data Assimilation 35 Robin C. Gilbert, Theodore B. Trafalis Robin C. Gilbert, Theodore B. Trafalis Michael B. Richman, S. Lakshmivarahan Michael B. Richman, S. Lakshmivarahan Weak Key Analysis of Cellular Automata-Based Random Number 43 Weak Key Analysis of Cellular Automata-Based Random Number 43 Generation and Secret Key Cryptography Generation and Secret Key Cryptography Frederic Pinel, Pascal Bouvry, Franciszek Seredynski Frederic Pinel, Pascal Bouvry, Franciszek Seredynski Parasom: An Efficient Self-Organizing Map for Parallel Multidimensional 51 Parasom: An Efficient Self-Organizing Map for Parallel Multidimensional 51 Input Processing and Clustering Input Processing and Clustering Iren Valova, Daniel MacLean, Derek Beaton Iren Valova, Daniel MacLean, Derek Beaton Threat Anticipation and Deceptive Reasoning Using Bayesian Belief Networks 59 Threat Anticipation and Deceptive Reasoning Using Bayesian Belief Networks 59 Glenn O. Allgood, Mohammed M. Olama, Joe E. Lake Glenn O. Allgood, Mohammed M. Olama, Joe E. Lake Modeling and Performance Evaluation for Aviation Security Cargo 67 Modeling and Performance Evaluation for Aviation Security Cargo 67 Inspection Queuing System Inspection Queuing System Glenn O. Allgood, Mohammed M. Olama Glenn O. Allgood, Mohammed M. Olama Terri A. Rose, Daryl Brumback Terri A. Rose, Daryl Brumback Self-Organized Kernel Fuzzy Clustering Method and Its Evaluation 75 Self-Organized Kernel Fuzzy Clustering Method and Its Evaluation 75 For the Number of Clusters Based on Alignment of Similarities For the Number of Clusters Based on Alignment of Similarities Mika Sato-Ilic, Tomoyuki Kuwata Mika Sato-Ilic, Tomoyuki Kuwata Optimization of Modular Neural Networks with Type-2 Fuzzy Integration Using 83 Optimization of Modular Neural Networks with Type-2 Fuzzy Integration Using 83 General Evolutionary Method with Application In Multimodal Biometry General Evolutionary Method with Application In Multimodal Biometry Denisse Hidalgo, Patricia Melin Denisse Hidalgo, Patricia Melin Guillermo Licea, Oscar Castillo Guillermo Licea, Oscar Castillo A Search for Barker Like Ternary Sequences for Direct Sequence CDMA 91 A Search for Barker Like Ternary Sequences for Direct Sequence CDMA 91 N. Rajaiah, K. Subba Rao N. Rajaiah, K. Subba Rao Downloaded From: http://ebooks.asmedigitalcollection.asme.org/ on 01/28/2016 Terms of Use: http://www.asme.org/about-asme/terms-of-use viii viii Part II: Infrastructure Systems 97 Part II: Infrastructure Systems 97 Non-Linear Inverse Analysis of Transportation Structures Using Neuro-Adaptive 99 Non-Linear Inverse Analysis of Transportation Structures Using Neuro-Adaptive 99 Networks with Hybrid Learning Algorithm Networks with Hybrid Learning Algorithm Kasthurirangan Gopalakrishnan, Halil Ceylan Kasthurirangan Gopalakrishnan, Halil Ceylan Siddhartha Kumar Khaitan Siddhartha Kumar Khaitan Development of the On-Site Earthquake Early Warning Systems for 107 Development of the On-Site Earthquake Early Warning Systems for 107 Taiwan Using Neural Networks Taiwan Using Neural Networks Chu-Chieh Jay Lin, Zhe-Ping Seng Chu-Chieh Jay Lin, Zhe-Ping Seng Fractal Analysis of CT-Measured Porosity for Claypan Soils 115 Fractal Analysis of CT-Measured Porosity for Claypan Soils 115 Y. Zeng, C.J. Gantzer, S.H. Anderson, R.P. Udawatta Y. Zeng, C.J. Gantzer, S.H. Anderson, R.P. Udawatta Application Artificial Neural Networks for Along Wind Loads on Tall Buildings 123 Application Artificial Neural Networks for Along Wind Loads on Tall Buildings 123 Kanchan Patil Kanchan Patil Hot Mix Asphalt Dynamic Modulus Prediction Using Kernel Machines 131 Hot Mix Asphalt Dynamic Modulus Prediction Using Kernel Machines 131 Kasthurirangan Gopalakrishnan, Halil Ceylan, Sunghwan Kim Kasthurirangan Gopalakrishnan, Halil Ceylan, Sunghwan Kim Predicting Travel Time along Arterials with More Sustainable Methods 139 Predicting Travel Time along Arterials with More Sustainable Methods 139 Ghassan Abu-Lebdeh, Salwa Beheiry, Yacoub Najjar Ghassan Abu-Lebdeh, Salwa Beheiry, Yacoub Najjar Assessment of CT-Measured Porosity in Russian Soils Using Fractal 147 Assessment of CT-Measured Porosity in Russian Soils Using Fractal 147 Dimension and Lacunarity Dimension and Lacunarity E.Y. Yakimenko, S.H. Anderson, R.P. Udawatta E.Y. Yakimenko, S.H. Anderson, R.P. Udawatta ANN-Based Profiling: Data Importance 155 ANN-Based Profiling: Data Importance 155 Sam Mryyan, Yacoub Najjar Sam Mryyan, Yacoub Najjar Part III: Evolutionary Computation 163 Part III: Evolutionary Computation 163 Ring Optimization of Side Effect Machines 165 Ring Optimization of Side Effect Machines 165 Andrew McEachern, Daniel Ashlock Andrew McEachern, Daniel Ashlock Multiscale Feature Location with a Fractal Representation 173 Multiscale Feature Location with a Fractal Representation 173 Daniel Ashlock, Stephen Gent, Kenneth M. Bryden Daniel Ashlock, Stephen Gent, Kenneth M. Bryden Taxonomy of a Diverse Collection of String Optimization Problems 181 Taxonomy of a Diverse Collection of String Optimization Problems 181 Daniel Ashlock, Steven M. Corns, Kenneth M. Bryden Daniel Ashlock, Steven M. Corns, Kenneth M. Bryden Logic Function Induction with the Blender Algorithm Using Function Stacks 189 Logic Function Induction with the Blender Algorithm Using Function Stacks 189 Daniel Ashlock, Douglas McCorkle, Kenneth M. Bryden Daniel Ashlock, Douglas McCorkle, Kenneth M. Bryden Breaking a Hierarchical Clustering Algorithm with an Evolutionary Algorithm 197 Breaking a Hierarchical Clustering Algorithm with an Evolutionary Algorithm 197 Daniel Ashlock, Justin Schonfeld, Taika von Königslöw Daniel Ashlock, Justin Schonfeld, Taika von Königslöw Co-Evolving Painting Robots Using Graph Based Evolutionary Algorithms 205 Co-Evolving Painting Robots Using Graph Based Evolutionary Algorithms 205 Steven M. Corns Steven M. Corns The Impact of Representation for Taxonomical Evaluation of Evolutionary Algorithms 213 The Impact of Representation for Taxonomical Evaluation of Evolutionary Algorithms 213 Jayakanth Jayachandran, Steven M. Corns Jayakanth Jayachandran, Steven M. Corns A Multi-Agent Organizational Model for CoEvolutionary Optimization 221 A Multi-Agent Organizational Model for CoEvolutionary Optimization 221 Grégoire Danoy, Pascal Bouvry, Olivier Boissier Grégoire Danoy, Pascal Bouvry, Olivier Boissier Evolutionary Group-Swarming: Agent-Based Simulation 229 Evolutionary Group-Swarming: Agent-Based Simulation 229 V.K. Murthy, E.V. Krishnamurthy V.K. Murthy, E.V. Krishnamurthy viii viii Part II: Infrastructure Systems 97 Part II: Infrastructure Systems 97 Non-Linear Inverse Analysis of Transportation Structures Using Neuro-Adaptive 99 Non-Linear Inverse Analysis of Transportation Structures Using Neuro-Adaptive 99 Networks with Hybrid Learning Algorithm Networks with Hybrid Learning Algorithm Kasthurirangan Gopalakrishnan, Halil Ceylan Kasthurirangan Gopalakrishnan, Halil Ceylan Siddhartha Kumar Khaitan Siddhartha Kumar Khaitan Development of the On-Site Earthquake Early Warning Systems for 107 Development of the On-Site Earthquake Early Warning Systems for 107 Taiwan Using Neural Networks Taiwan Using Neural Networks Chu-Chieh Jay Lin, Zhe-Ping Seng Chu-Chieh Jay Lin, Zhe-Ping Seng Fractal Analysis of CT-Measured Porosity for Claypan Soils 115 Fractal Analysis of CT-Measured Porosity for Claypan Soils 115 Y. Zeng, C.J. Gantzer, S.H. Anderson, R.P. Udawatta Y. Zeng, C.J. Gantzer, S.H. Anderson, R.P. Udawatta Application Artificial Neural Networks for Along Wind Loads on Tall Buildings 123 Application Artificial Neural Networks for Along Wind Loads on Tall Buildings 123 Kanchan Patil Kanchan Patil Hot Mix Asphalt Dynamic Modulus Prediction Using Kernel Machines 131 Hot Mix Asphalt Dynamic Modulus Prediction Using Kernel Machines 131 Kasthurirangan Gopalakrishnan, Halil Ceylan, Sunghwan Kim Kasthurirangan Gopalakrishnan, Halil Ceylan, Sunghwan Kim Predicting Travel Time along Arterials with More Sustainable Methods 139 Predicting Travel Time along Arterials with More Sustainable Methods 139 Ghassan Abu-Lebdeh, Salwa Beheiry, Yacoub Najjar Ghassan Abu-Lebdeh, Salwa Beheiry, Yacoub Najjar Assessment of CT-Measured Porosity in Russian Soils Using Fractal 147 Assessment of CT-Measured Porosity in Russian Soils Using Fractal 147 Dimension and Lacunarity Dimension and Lacunarity E.Y. Yakimenko, S.H. Anderson, R.P. Udawatta E.Y. Yakimenko, S.H. Anderson, R.P. Udawatta ANN-Based Profiling: Data Importance 155 ANN-Based Profiling: Data Importance 155 Sam Mryyan, Yacoub Najjar Sam Mryyan, Yacoub Najjar Part III: Evolutionary Computation 163 Part III: Evolutionary Computation 163 Ring Optimization of Side Effect Machines 165 Ring Optimization of Side Effect Machines 165 Andrew McEachern, Daniel Ashlock Andrew McEachern, Daniel Ashlock Multiscale Feature Location with a Fractal Representation 173 Multiscale Feature Location with a Fractal Representation 173 Daniel Ashlock, Stephen Gent, Kenneth M. Bryden Daniel Ashlock, Stephen Gent, Kenneth M. Bryden Taxonomy of a Diverse Collection of String Optimization Problems 181 Taxonomy of a Diverse Collection of String Optimization Problems 181 Daniel Ashlock, Steven M. Corns, Kenneth M. Bryden Daniel Ashlock, Steven M. Corns, Kenneth M. Bryden Logic Function Induction with the Blender Algorithm Using Function Stacks 189 Logic Function Induction with the Blender Algorithm Using Function Stacks 189 Daniel Ashlock, Douglas McCorkle, Kenneth M. Bryden Daniel Ashlock, Douglas McCorkle, Kenneth M. Bryden Breaking a Hierarchical Clustering Algorithm with an Evolutionary Algorithm 197 Breaking a Hierarchical Clustering Algorithm with an Evolutionary Algorithm 197 Daniel Ashlock, Justin Schonfeld, Taika von Königslöw Daniel Ashlock, Justin Schonfeld, Taika von Königslöw Co-Evolving Painting Robots Using Graph Based Evolutionary Algorithms 205 Co-Evolving Painting Robots Using Graph Based Evolutionary Algorithms 205 Steven M. Corns Steven M. Corns The Impact of Representation for Taxonomical Evaluation of Evolutionary Algorithms 213 The Impact of Representation for Taxonomical Evaluation of Evolutionary Algorithms 213 Jayakanth Jayachandran, Steven M. Corns Jayakanth Jayachandran, Steven M. Corns A Multi-Agent Organizational Model for CoEvolutionary Optimization 221 A Multi-Agent Organizational Model for CoEvolutionary Optimization 221 Grégoire Danoy, Pascal Bouvry, Olivier Boissier Grégoire Danoy, Pascal Bouvry, Olivier Boissier Evolutionary Group-Swarming: Agent-Based Simulation 229 Evolutionary Group-Swarming: Agent-Based Simulation 229 V.K. Murthy, E.V. Krishnamurthy V.K. Murthy, E.V. Krishnamurthy Downloaded From: http://ebooks.asmedigitalcollection.asme.org/ on 01/28/2016 Terms of Use: http://www.asme.org/about-asme/terms-of-use ix ix Cryptographic Properties of Cellular Automata-Based S-Boxes 237 Cryptographic Properties of Cellular Automata-Based S-Boxes 237 Equivalent to Des S-Boxes Equivalent to Des S-Boxes Miroslaw Szaban, Franciszek Seredynski, Pascal Bouvry Miroslaw Szaban, Franciszek Seredynski, Pascal Bouvry The Impact of Long-Term Memory in the Iterated Prisoner’s Dilemma 245 The Impact of Long-Term Memory in the Iterated Prisoner’s Dilemma 245 Nick Rogers, Dan Ashlock Nick Rogers, Dan Ashlock Exploring Promising Regions of the Search Space with the Scout Bee in the 253 Exploring Promising Regions of the Search Space with the Scout Bee in the 253 Artificial Bee Colony for Constrained Optimization Artificial Bee Colony for Constrained Optimization Efrén Mezura-Montes, Omar Cetina-Domínguez Efrén Mezura-Montes, Omar Cetina-Domínguez Particle Swarm Optimization for Emission Source Localization in 261 Particle Swarm Optimization for Emission Source Localization in 261 Sensor Networks Sensor Networks Girma S. Tewolde, Darrin M. Hanna, Richard E. Haskell Girma S. Tewolde, Darrin M. Hanna, Richard E. Haskell A Swarm Intelligent Sudoku Solver 269 A Swarm Intelligent Sudoku Solver 269 Wen-Li Wang, David Loker, Mei-Huei Tang Wen-Li Wang, David Loker, Mei-Huei Tang GA-Based Method for Optimal Weight Design Problem of Double Box Culvert 275 GA-Based Method for Optimal Weight Design Problem of Double Box Culvert 275 Takao Yokota, Shozo Wada, Takeaki Taguchi Takao Yokota, Shozo Wada, Takeaki Taguchi An Open Shortest Path First Area Design Problem Using Genetic Algorithm 283 An Open Shortest Path First Area Design Problem Using Genetic Algorithm 283 Juno Song, Mitsuo Gen Juno Song, Mitsuo Gen Applying Metaheuristic Approach to Three-Dimensional Tour Guide Allocation Problem 291 Applying Metaheuristic Approach to Three-Dimensional Tour Guide Allocation Problem 291 Kayoko Murakami, Seren Ozmehmet Tasan, Serdar Tasan Kayoko Murakami, Seren Ozmehmet Tasan, Serdar Tasan Mitsuo Gen, Takashi Oyabu, Yang Yang Mitsuo Gen, Takashi Oyabu, Yang Yang Quay Crane Scheduling with Non-Interference Constraints by 299 Quay Crane Scheduling with Non-Interference Constraints by 299 Multiobjective Genetic Algorithms Multiobjective Genetic Algorithms Yang Yang, Kap Hwan Kim, Mitsuo Gen Yang Yang, Kap Hwan Kim, Mitsuo Gen Study on Two-Stage Transportation Planning with Inventory and Exclusionary Side 307 Study on Two-Stage Transportation Planning with Inventory and Exclusionary Side 307 Constraints by Boltzmann Random Key-Based GA Constraints by Boltzmann Random Key-Based GA Shinichiro Ataka, Byungki Kim, Mitsuo Gen Shinichiro Ataka, Byungki Kim, Mitsuo Gen GA for JSP with Delivery Time and Holding Cost 315 GA for JSP with Delivery Time and Holding Cost 315 Kazumi Abe, Kenichi Ida Kazumi Abe, Kenichi Ida Multiobjective Genetic Algorithm for Pareto-Optimal Route Selection 323 Multiobjective Genetic Algorithm for Pareto-Optimal Route Selection 323 Feng Wen, Mitsuo Gen Feng Wen, Mitsuo Gen Multiobjective Evolututionary Algorithm Approach for Job Shop Rescheduling Problem 331 Multiobjective Evolututionary Algorithm Approach for Job Shop Rescheduling Problem 331 Xinchang Hao, Mitsuo Gen, Runwei Cheng Xinchang Hao, Mitsuo Gen, Runwei Cheng Cell Loading and Product Sequencing in Synchronized Manufacturing Cells Using GA 339 Cell Loading and Product Sequencing in Synchronized Manufacturing Cells Using GA 339 Gürsel A. Süer, Fatih Yarimoglu Gürsel A. Süer, Fatih Yarimoglu Navigation of an Autonomous Mobile Robot Using Artificial Immune System Algorithm 349 Navigation of an Autonomous Mobile Robot Using Artificial Immune System Algorithm 349 S. Ozcelik, S. Sukumaran, R. Challoo S. Ozcelik, S. Sukumaran, R. Challoo Modified Bacterial Foraging Optimization for Engineering Design 357 Modified Bacterial Foraging Optimization for Engineering Design 357 Efrén Mezura-Montes, Betania Hernández-Ocaña Efrén Mezura-Montes, Betania Hernández-Ocaña ix ix Cryptographic Properties of Cellular Automata-Based S-Boxes 237 Cryptographic Properties of Cellular Automata-Based S-Boxes 237 Equivalent to Des S-Boxes Equivalent to Des S-Boxes Miroslaw Szaban, Franciszek Seredynski, Pascal Bouvry Miroslaw Szaban, Franciszek Seredynski, Pascal Bouvry The Impact of Long-Term Memory in the Iterated Prisoner’s Dilemma 245 The Impact of Long-Term Memory in the Iterated Prisoner’s Dilemma 245 Nick Rogers, Dan Ashlock Nick Rogers, Dan Ashlock Exploring Promising Regions of the Search Space with the Scout Bee in the 253 Exploring Promising Regions of the Search Space with the Scout Bee in the 253 Artificial Bee Colony for Constrained Optimization Artificial Bee Colony for Constrained Optimization Efrén Mezura-Montes, Omar Cetina-Domínguez Efrén Mezura-Montes, Omar Cetina-Domínguez Particle Swarm Optimization for Emission Source Localization in 261 Particle Swarm Optimization for Emission Source Localization in 261 Sensor Networks Sensor Networks Girma S. Tewolde, Darrin M. Hanna, Richard E. Haskell Girma S. Tewolde, Darrin M. Hanna, Richard E. Haskell A Swarm Intelligent Sudoku Solver 269 A Swarm Intelligent Sudoku Solver 269 Wen-Li Wang, David Loker, Mei-Huei Tang Wen-Li Wang, David Loker, Mei-Huei Tang GA-Based Method for Optimal Weight Design Problem of Double Box Culvert 275 GA-Based Method for Optimal Weight Design Problem of Double Box Culvert 275 Takao Yokota, Shozo Wada, Takeaki Taguchi Takao Yokota, Shozo Wada, Takeaki Taguchi An Open Shortest Path First Area Design Problem Using Genetic Algorithm 283 An Open Shortest Path First Area Design Problem Using Genetic Algorithm 283 Juno Song, Mitsuo Gen Juno Song, Mitsuo Gen Applying Metaheuristic Approach to Three-Dimensional Tour Guide Allocation Problem 291 Applying Metaheuristic Approach to Three-Dimensional Tour Guide Allocation Problem 291 Kayoko Murakami, Seren Ozmehmet Tasan, Serdar Tasan Kayoko Murakami, Seren Ozmehmet Tasan, Serdar Tasan Mitsuo Gen, Takashi Oyabu, Yang Yang Mitsuo Gen, Takashi Oyabu, Yang Yang Quay Crane Scheduling with Non-Interference Constraints by 299 Quay Crane Scheduling with Non-Interference Constraints by 299 Multiobjective Genetic Algorithms Multiobjective Genetic Algorithms Yang Yang, Kap Hwan Kim, Mitsuo Gen Yang Yang, Kap Hwan Kim, Mitsuo Gen Study on Two-Stage Transportation Planning with Inventory and Exclusionary Side 307 Study on Two-Stage Transportation Planning with Inventory and Exclusionary Side 307 Constraints by Boltzmann Random Key-Based GA Constraints by Boltzmann Random Key-Based GA Shinichiro Ataka, Byungki Kim, Mitsuo Gen Shinichiro Ataka, Byungki Kim, Mitsuo Gen GA for JSP with Delivery Time and Holding Cost 315 GA for JSP with Delivery Time and Holding Cost 315 Kazumi Abe, Kenichi Ida Kazumi Abe, Kenichi Ida Multiobjective Genetic Algorithm for Pareto-Optimal Route Selection 323 Multiobjective Genetic Algorithm for Pareto-Optimal Route Selection 323 Feng Wen, Mitsuo Gen Feng Wen, Mitsuo Gen Multiobjective Evolututionary Algorithm Approach for Job Shop Rescheduling Problem 331 Multiobjective Evolututionary Algorithm Approach for Job Shop Rescheduling Problem 331 Xinchang Hao, Mitsuo Gen, Runwei Cheng Xinchang Hao, Mitsuo Gen, Runwei Cheng Cell Loading and Product Sequencing in Synchronized Manufacturing Cells Using GA 339 Cell Loading and Product Sequencing in Synchronized Manufacturing Cells Using GA 339 Gürsel A. Süer, Fatih Yarimoglu Gürsel A. Süer, Fatih Yarimoglu Navigation of an Autonomous Mobile Robot Using Artificial Immune System Algorithm 349 Navigation of an Autonomous Mobile Robot Using Artificial Immune System Algorithm 349 S. Ozcelik, S. Sukumaran, R. Challoo S. Ozcelik, S. Sukumaran, R. Challoo Modified Bacterial Foraging Optimization for Engineering Design 357 Modified Bacterial Foraging Optimization for Engineering Design 357 Efrén Mezura-Montes, Betania Hernández-Ocaña Efrén Mezura-Montes, Betania Hernández-Ocaña Downloaded From: http://ebooks.asmedigitalcollection.asme.org/ on 01/28/2016 Terms of Use: http://www.asme.org/about-asme/terms-of-use x x Part IV: General Engineering Application 365 Part IV: General Engineering Application 365 Attractive Walking Through Electrocardiogram Signals of Arrhythmia by 367 Attractive Walking Through Electrocardiogram Signals of Arrhythmia by 367 Analyzing the Normal Neighbor Rhythm Analyzing the Normal Neighbor Rhythm Natacha Gueorguieva, Iren Valova, Chin Ming Hui Natacha Gueorguieva, Iren Valova, Chin Ming Hui Simulation of Synaptic Responses in an Active Membrane Model 375 Simulation of Synaptic Responses in an Active Membrane Model 375 Natacha Gueorguieva, Iren Valova Natacha Gueorguieva, Iren Valova George Georgiev, Vyacheslav Glukh George Georgiev, Vyacheslav Glukh Biomolecular Feature Selection of Colorectal Cancer Microarray Data 383 Biomolecular Feature Selection of Colorectal Cancer Microarray Data 383 Using GA-SVM Hybrid Using GA-SVM Hybrid Alda Mizaku, David J. Schaffer Alda Mizaku, David J. Schaffer Walker H. Land, John J. Heine Walker H. Land, John J. Heine A Complex Adaptive Decision Mechanism (CADM) for Two View Mammography 391 A Complex Adaptive Decision Mechanism (CADM) for Two View Mammography 391 Walker H. Land, Dan Margolis, Maria Kallergi, John J. Heine Walker H. Land, Dan Margolis, Maria Kallergi, John J. Heine Feature Selection of Microarray Data Using Genetic Algorithms and 397 Feature Selection of Microarray Data Using Genetic Algorithms and 397 Artificial Neural Networks Artificial Neural Networks Paul Yacci, Anne Haake, Roger S. Gaborski Paul Yacci, Anne Haake, Roger S. Gaborski Spherical SOFM: Implications for Forensics and Craniofacial Surgery 405 Spherical SOFM: Implications for Forensics and Craniofacial Surgery 405 Archana P. Sangole, Pascal Labrecque, Patricia Bortoluzzi Archana P. Sangole, Pascal Labrecque, Patricia Bortoluzzi Modular Neural Network with Fuzzy Integration for Face, Fingerprint and 413 Modular Neural Network with Fuzzy Integration for Face, Fingerprint and 413 Voice Recognition Voice Recognition Ricardo Muñoz Bernal, Oscar Castillo, Patricia Melin Ricardo Muñoz Bernal, Oscar Castillo, Patricia Melin Enhanced Hyperspectral Face Recognition 421 Enhanced Hyperspectral Face Recognition 421 David M. Ryer, Kenneth W. Bauer David M. Ryer, Kenneth W. Bauer An Adaptive Facial Feature Tracking for Expression Recognition Using 429 An Adaptive Facial Feature Tracking for Expression Recognition Using 429 Temporal Information in Feature Selection Temporal Information in Feature Selection Mahsa Maghami, Ramin Mehran, Mohsen Shiva Mahsa Maghami, Ramin Mehran, Mohsen Shiva Hierarchical Face Age-Estimation Algorithm Using Informed Facial Features 437 Hierarchical Face Age-Estimation Algorithm Using Informed Facial Features 437 Karl Ricanek Karl Ricanek Performance Analysis of Moments in Invariant Object Classification 447 Performance Analysis of Moments in Invariant Object Classification 447 Nervez Imamoğlu, Aydin Eresen Nervez Imamoğlu, Aydin Eresen Arda Yağci, A. Murat Özbayoğlu Arda Yağci, A. Murat Özbayoğlu Lyapunov Exponents Spectrum Estimation 455 Lyapunov Exponents Spectrum Estimation 455 Davoud Arasteh Davoud Arasteh Regression of Representative Keys for Classification: A Simple Learning Approach 463 Regression of Representative Keys for Classification: A Simple Learning Approach 463 El Sayed Mahmoud, David Calvert El Sayed Mahmoud, David Calvert Max Blot-Out Picking for Reducing the Number of Representation Vectors 471 Max Blot-Out Picking for Reducing the Number of Representation Vectors 471 From the Pick and Blot-Out Algorithm From the Pick and Blot-Out Algorithm Shanmugalingam Easwaran Shanmugalingam Easwaran A Pick and Blot-Out Algorithm for Obtaining Representation Vectors to 481 A Pick and Blot-Out Algorithm for Obtaining Representation Vectors to 481 Represent An Arbitrary Dataset Represent An Arbitrary Dataset Shanmugalingam Easwaran Shanmugalingam Easwaran x x Part IV: General Engineering Application 365 Part IV: General Engineering Application 365 Attractive Walking Through Electrocardiogram Signals of Arrhythmia by 367 Attractive Walking Through Electrocardiogram Signals of Arrhythmia by 367 Analyzing the Normal Neighbor Rhythm Analyzing the Normal Neighbor Rhythm Natacha Gueorguieva, Iren Valova, Chin Ming Hui Natacha Gueorguieva, Iren Valova, Chin Ming Hui Simulation of Synaptic Responses in an Active Membrane Model 375 Simulation of Synaptic Responses in an Active Membrane Model 375 Natacha Gueorguieva, Iren Valova Natacha Gueorguieva, Iren Valova George Georgiev, Vyacheslav Glukh George Georgiev, Vyacheslav Glukh Biomolecular Feature Selection of Colorectal Cancer Microarray Data 383 Biomolecular Feature Selection of Colorectal Cancer Microarray Data 383 Using GA-SVM Hybrid Using GA-SVM Hybrid Alda Mizaku, David J. Schaffer Alda Mizaku, David J. Schaffer Walker H. Land, John J. Heine Walker H. Land, John J. Heine A Complex Adaptive Decision Mechanism (CADM) for Two View Mammography 391 A Complex Adaptive Decision Mechanism (CADM) for Two View Mammography 391 Walker H. Land, Dan Margolis, Maria Kallergi, John J. Heine Walker H. Land, Dan Margolis, Maria Kallergi, John J. Heine Feature Selection of Microarray Data Using Genetic Algorithms and 397 Feature Selection of Microarray Data Using Genetic Algorithms and 397 Artificial Neural Networks Artificial Neural Networks Paul Yacci, Anne Haake, Roger S. Gaborski Paul Yacci, Anne Haake, Roger S. Gaborski Spherical SOFM: Implications for Forensics and Craniofacial Surgery 405 Spherical SOFM: Implications for Forensics and Craniofacial Surgery 405 Archana P. Sangole, Pascal Labrecque, Patricia Bortoluzzi Archana P. Sangole, Pascal Labrecque, Patricia Bortoluzzi Modular Neural Network with Fuzzy Integration for Face, Fingerprint and 413 Modular Neural Network with Fuzzy Integration for Face, Fingerprint and 413 Voice Recognition Voice Recognition Ricardo Muñoz Bernal, Oscar Castillo, Patricia Melin Ricardo Muñoz Bernal, Oscar Castillo, Patricia Melin Enhanced Hyperspectral Face Recognition 421 Enhanced Hyperspectral Face Recognition 421 David M. Ryer, Kenneth W. Bauer David M. Ryer, Kenneth W. Bauer An Adaptive Facial Feature Tracking for Expression Recognition Using 429 An Adaptive Facial Feature Tracking for Expression Recognition Using 429 Temporal Information in Feature Selection Temporal Information in Feature Selection Mahsa Maghami, Ramin Mehran, Mohsen Shiva Mahsa Maghami, Ramin Mehran, Mohsen Shiva Hierarchical Face Age-Estimation Algorithm Using Informed Facial Features 437 Hierarchical Face Age-Estimation Algorithm Using Informed Facial Features 437 Karl Ricanek Karl Ricanek Performance Analysis of Moments in Invariant Object Classification 447 Performance Analysis of Moments in Invariant Object Classification 447 Nervez Imamoğlu, Aydin Eresen Nervez Imamoğlu, Aydin Eresen Arda Yağci, A. Murat Özbayoğlu Arda Yağci, A. Murat Özbayoğlu Lyapunov Exponents Spectrum Estimation 455 Lyapunov Exponents Spectrum Estimation 455 Davoud Arasteh Davoud Arasteh Regression of Representative Keys for Classification: A Simple Learning Approach 463 Regression of Representative Keys for Classification: A Simple Learning Approach 463 El Sayed Mahmoud, David Calvert El Sayed Mahmoud, David Calvert Max Blot-Out Picking for Reducing the Number of Representation Vectors 471 Max Blot-Out Picking for Reducing the Number of Representation Vectors 471 From the Pick and Blot-Out Algorithm From the Pick and Blot-Out Algorithm Shanmugalingam Easwaran Shanmugalingam Easwaran A Pick and Blot-Out Algorithm for Obtaining Representation Vectors to 481 A Pick and Blot-Out Algorithm for Obtaining Representation Vectors to 481 Represent An Arbitrary Dataset Represent An Arbitrary Dataset Shanmugalingam Easwaran Shanmugalingam Easwaran Downloaded From: http://ebooks.asmedigitalcollection.asme.org/ on 01/28/2016 Terms of Use: http://www.asme.org/about-asme/terms-of-use

See more

The list of books you might like

Upgrade Premium
Most books are stored in the elastic cloud where traffic is expensive. For this reason, we have a limit on daily download.
DMCA & Copyright: Dear all, most of the website is community built, users are uploading hundred of books everyday, which makes really hard for us to identify copyrighted material, please contact us if you want any material removed.
Copyright @ PDFdrive.to, 2022 | We love our users