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Adaptive and Natural Computing Algorithms: 11th International Conference, ICANNGA 2013, Lausanne, Switzerland, April 4-6, 2013. Proceedings PDF

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Preview Adaptive and Natural Computing Algorithms: 11th International Conference, ICANNGA 2013, Lausanne, Switzerland, April 4-6, 2013. Proceedings

Marco Tomassini Alberto Antonioni Fabio Daolio Pierre Buesser (Eds.) 4 2 Adaptive and Natural 8 7 S C Computing Algorithms N L 11th International Conference, ICANNGA 2013 Lausanne, Switzerland, April 2013 Proceedings 123 Lecture Notes in Computer Science 7824 CommencedPublicationin1973 FoundingandFormerSeriesEditors: GerhardGoos,JurisHartmanis,andJanvanLeeuwen EditorialBoard DavidHutchison LancasterUniversity,UK TakeoKanade CarnegieMellonUniversity,Pittsburgh,PA,USA JosefKittler UniversityofSurrey,Guildford,UK JonM.Kleinberg CornellUniversity,Ithaca,NY,USA AlfredKobsa UniversityofCalifornia,Irvine,CA,USA FriedemannMattern ETHZurich,Switzerland JohnC.Mitchell StanfordUniversity,CA,USA MoniNaor WeizmannInstituteofScience,Rehovot,Israel OscarNierstrasz UniversityofBern,Switzerland C.PanduRangan IndianInstituteofTechnology,Madras,India BernhardSteffen TUDortmundUniversity,Germany MadhuSudan MicrosoftResearch,Cambridge,MA,USA DemetriTerzopoulos UniversityofCalifornia,LosAngeles,CA,USA DougTygar UniversityofCalifornia,Berkeley,CA,USA GerhardWeikum MaxPlanckInstituteforInformatics,Saarbruecken,Germany Marco Tomassini Alberto Antonioni Fabio Daolio Pierre Buesser (Eds.) Adaptive and Natural Computing Algorithms 11th International Conference, ICANNGA 2013 Lausanne, Switzerland, April 4-6, 2013 Proceedings 1 3 VolumeEditors MarcoTomassini AlbertoAntonioni FabioDaolio PierreBuesser UniversitédeLausanne,FacultédesHautesEtudesCommerciales DépartementdesSystèmesd’Information UNIL-Dorigny,BâtimentInternef,1015Lausanne,Switzerland E-mail:{marco.tomassini,alberto.antonioni,fabio.daolio,pierre.buesser}@unil.ch ISSN0302-9743 e-ISSN1611-3349 ISBN978-3-642-37212-4 e-ISBN978-3-642-37213-1 DOI10.1007/978-3-642-37213-1 SpringerHeidelbergDordrechtLondonNewYork LibraryofCongressControlNumber:2013933232 CRSubjectClassification(1998):F.1-2,I.5,I.2 LNCSSublibrary:SL1–TheoreticalComputerScienceandGeneralIssues ©Springer-VerlagBerlinHeidelberg2013 Thisworkissubjecttocopyright.Allrightsarereserved,whetherthewholeorpartofthematerialis concerned,specificallytherightsoftranslation,reprinting,re-useofillustrations,recitation,broadcasting, reproductiononmicrofilmsorinanyotherway,andstorageindatabanks.Duplicationofthispublication orpartsthereofispermittedonlyundertheprovisionsoftheGermanCopyrightLawofSeptember9,1965, inistcurrentversion,andpermissionforusemustalwaysbeobtainedfromSpringer.Violationsareliable toprosecutionundertheGermanCopyrightLaw. Theuseofgeneraldescriptivenames,registerednames,trademarks,etc.inthispublicationdoesnotimply, evenintheabsenceofaspecificstatement,thatsuchnamesareexemptfromtherelevantprotectivelaws andregulationsandthereforefreeforgeneraluse. Typesetting:Camera-readybyauthor,dataconversionbyScientificPublishingServices,Chennai,India Printedonacid-freepaper SpringerispartofSpringerScience+BusinessMedia(www.springer.com) Preface WearepleasedtopresentinthisLNCSvolumetheproceedingsofthe11th Inter- nationalConferenceonAdaptiveandNeuralComputingAlgorithms,ICANNGA 2013, that was held in Lausanne, Switzerland. The biennial ICANNGA series of conferences was started in 1993 in Innsbruck, Austria, and was followed by Ales, France (1995), Norwick, UK (1997), Portoroˇz, Slovenia (1999), Prague, Czech Republic (2001), Rouen, France (2003), Coimbra, Portugal (2005), War- saw,Poland(2007),Kuopio,Finland(2009),andLjubljana,Slovenia(2011).The present edition thus marks the 20th year of existence of this successful series of conferences. We received 91 paper submissions for this edition coming from many differ- ent countries. Following an extensive review process, the Program Committee selected 51 manuscripts for inclusion in this volume. Of the 51 papers, 39 were presentedinoralsessionsandtherestasposters.Theselectedpaperscovermany aspects of soft computing techniques and adaptive algorithms, from artificial neuralnetworkstoevolutionaryalgorithms,systemdynamicsandidentification, pattern recognition,machine learning techniques, and swarmcomputing among others. Both theoretical and fundamental contributions as well as applications were present, although theoretical and numerical models were the majority. The conference featured three distinguished keynote speakers: Tom Heskes, Moshe Sipper, and Alessandro Villa. Their presentations were at the leading edge of today’s research and of great inspirational value. Tom Heskes’ talk was aboutBayesianmachine learningapproachesto analyzecomplex data setscom- ing from the brain’s functional data and their application to brain–computer interfaces, a really exciting perspective. Moshe Sipper focused on artificial in- telligence techniques based on evolutionary computation within the domain of games, an activity in which Sipper’s group has produced human-competitive and award-winning game strategies in games such as chess, checkers, and sev- eralothers.AlessandroVilla’s talkwasontheoreticalmodels ofspatio-temporal patterns of recurrent neural networks based on dynamical systems theory. He showed that only selected meaningful patterns may contribute to extend the computational power of neural networks. The success of a conference depends on the quality of the scientific contri- butions, as well as on the work of the reviewers and of the organizers. We are grateful to all the contributors for their hard and high-quality work that made theconferencepossible.Andofcourse,wethankthereviewersfortheirtimeand careful work.We would also like to express our gratitude to the Advisory Com- mittee, which guarantees the continuity of the conference series and provided advice, feedback, and discussion throughout. Finally, we thank the Economics Faculty of the University of Lausanne for the logistic support provided, which VI Preface provedveryimportantincreatinga nice andproductiveenvironmentforallthe conference activities. April 2013 Marco Tomassini Alberto Antonioni Fabio Daolio Pierre Buesser Organization Advisory Committee Rudolf Albrecht David Pearson Bartlomiej Beliczynski Bernardete Ribeiro Andrej Dobnikar Nigel Steele Mikko Kolehmainen Vera Kurkova Program Committee Hernan Aguirre Alexandru Floares Jarmo Alander Mario Giacobini Rudolf Albrecht Michele Giugliano Alberto Antonioni Juan A. Gomez-Pulido Rub´en Arman˜anzas Barbara Hammer Wolfgang Banzhaf Jin-Kao Hao Miguel Arturo Barreto-Sanz Ignacio Hidalgo Fu¨lo¨p Bazso´ Osamu Hoshino Bartlomiej Beliczynski Lazaros Iliadis Lubica Benuskova Marcin Iwanowski PascalBouvry Juan Luis Jimenez Laredo Hans Albert Braun Martti Juhola Stefano Cagnoni Paul Kainen Paolo Cazzaniga Mario Koeppen Francesco Cerutti Mikko Kolehmainen Francisco Chicano Stefanos Kollias Carlos Coello Coello Petia Koprinkova-Hristova Ernesto Costa Jozef Korbicz Carlos Cotta Vera Kurkova Fabio Daolio Giancarlo La Camera Christian Darabos Kauko Leivisk¨a Ivanoe De Falco Tom Lenaerts Matteo De Felice Uros Lotric Antonio Della Cioppa Francesco Masulli Federico Divina Julian Miller Andrej Dobnikar Francesco C. Morabito Bernabe Dorronsoro Alberto Moraglio Anto´nio Dourado Juan Manuel Moreno Francisco Fern´andez de Vega Ferrante Neri Stefan Figedy Roman Neruda VIII Organization Ernst Niebur Moshe Sipper Stanislaw Osowski Branko Ster Jorge Pen˜a Thomas Stuetzle Carlos Andr´es Pen˜a-Reyes Miroslaw Swiercz Andr´es P´erez-Uribe Ryszard Tadeusiewicz Clara Pizzuti El-Ghazali Talbi Riccardo Poli Tatiana Tambouratzis Mike Preuss Marco Tomassini Bernardete Ribeiro Leonardo Vanneschi Conor Ryan Miguel A. Vega-Rodr´ıguez Jorge Santos S´ebastien Verel Henrik Saxen Alessandro Villa Marc Schoenauer Stefan Wermter Roberto Serra Catarina Silva Organizing Committee Alberto Antonioni Elisabeth Fournier Pulfer Pierre Buesser Marco Tomassini Fabio Daolio Table of Contents On Appropriate Refractoriness and Weight Increment in Incremental Learning........................................................ 1 Toshinori Deguchi, Junya Fukuta, and Naohiro Ishii Vector Generation and Operations in Neural Networks Computations... 10 Naohiro Ishii, Toshinori Deguchi, Masashi Kawaguchi, and Hiroshi Sasaki Synaptic Scaling Balances Learning in a Spiking Model of Neocortex ... 20 Mark Rowan and Samuel Neymotin Can Two Hidden Layers Make a Difference?......................... 30 Vˇera K˚urkova´ and Marcello Sanguineti Time Series Visualization Using Asymmetric Self-Organizing Map...... 40 Dominik Olszewski, Janusz Kacprzyk, and Sl(cid:2)awomir Zadroz˙ny Intelligence Approaches Based Direct Torque Control of Induction Motor .......................................................... 50 Moulay Rachid Douiri and Mohamed Cherkaoui Classifier Ensembles Integration with Self-configuring Genetic Programming Algorithm .......................................... 60 Maria Semenkina and Eugene Semenkin A Multi-objective Proposal Based on Firefly Behaviour for Green Scheduling in Grid Systems ....................................... 70 Mar´ıa Arsuaga-R´ıos and Miguel A. Vega-Rodr´ıguez A Framework for Derivative Free Algorithm Hybridization ............ 80 Jose Luis Espinosa-Aranda, Ricardo Garcia-Rodenas, and Eusebio Angulo PSO-Tagger: A New Biologically Inspired Approach to the Part-of-SpeechTagging Problem ................................... 90 Ana Paula Silva, Arlindo Silva, and Irene Rodrigues Training Support Vector Machines with an Heterogeneous Particle Swarm Optimizer ................................................ 100 Arlindo Silva and Teresa Gonc¸alves X Table of Contents Fitness Landscape-Based Characterisation of Nature-Inspired Algorithms...................................................... 110 Matthew Crossley, Andy Nisbet, and Martyn Amos Evolutionary Generation of Small Oscillating Genetic Networks........ 120 Matthijs van Dorp, Bruno Lannoo, and Enrico Carlon Using Scout Particles to Improve a Predator-PreyOptimizer .......... 130 Arlindo Silva, Ana Neves, and Teresa Gonc¸alves QR-DCA: A New Rough Data Pre-processing Approach for the Dendritic Cell Algorithm.......................................... 140 Zeineb Chelly and Zied Elouedi Convergence Rates of Evolutionary Algorithms for Quadratic Convex Functions with Rank-Deficient Hessian ............................. 151 Gu¨nter Rudolph The Scale-Up Performance of Genetic Algorithms Applied to Group Decision Making Problems ........................................ 161 Tatiana Tambouratzis and Vassileios Kanellidis UsingGeneticProgrammingtoEstimatePerformanceofComputational Intelligence Models............................................... 169 Jakub Sˇm´ıd and Roman Neruda Multi-caste Ant Colony Algorithm for the Dynamic Traveling Salesperson Problem ............................................. 179 Leonor Melo, Francisco Pereira, and Ernesto Costa Generalized Information-Theoretic Measures for Feature Selection...... 189 Davor Sluga and Uros Lotric PCA Based Oblique Decision Rules Generating ...................... 198 Marcin Michalak and Karolina Nurzyn´ska Cardinality Problem in Portfolio Selection........................... 208 Penka Georgieva and Ivan Popchev Full and Semi-supervised k-Means Clustering Optimised by Class Membership Hesitation ........................................... 218 Piotr P(cid:2)lon´ski and Krzysztof Zaremba Defining Semantic Meta-hashtags for Twitter Classification............ 226 Joana Costa, Catarina Silva, M´ario Antunes, and Bernardete Ribeiro Reinforcement Learning and Genetic Regulatory Network Reconstruction .................................................. 236 Branko Sˇter and Andrej Dobnikar

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