Lecture Notes in Computer Science 7832 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 Martin Middendorf Christian Blum (Eds.) Evolutionary Computation in Combinatorial Optimization 13th European Conference, EvoCOP 2013 Vienna, Austria, April 3-5, 2013 Proceedings 1 3 VolumeEditors MartinMiddendorf UniversityofLeipzig DepartmentofComputerScience Johannisgasse26,04103Leipzig,Germany E-mail:[email protected] ChristianBlum UniversityoftheBasqueCountry IKERBASQUE,BasqueFoundationforScience DepartmentofComputerScienceandArtificialIntelligence PaseoManuelLardizabal1,20018Donostia,Spain E-mail:[email protected] FrontcoverEvoStar2013logobyKevinSim,EdinburghNapierUniversity ISSN0302-9743 e-ISSN1611-3349 ISBN978-3-642-37197-4 e-ISBN978-3-642-37198-1 DOI10.1007/978-3-642-37198-1 SpringerHeidelbergDordrechtLondonNewYork LibraryofCongressControlNumber:2013933104 CRSubjectClassification(1998):G.1.6,F.2,G.2,F.1,I.2.8 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 Algorithms from the field of metaheuristics have been shown to be provenly effective for an ever-broadening range of difficult combinatorial optimization problems arising in a wide variety of industrial, economic, and scientific do- mains. Prominent examples of metaheuristics include, but are not liminted to, ant colony optimization, evolutionary algorithms, greedy randomized adaptive search procedures, iterated local search, simulated annealing, tabu search, and variable neighborhood search. Applications of metaheuristics can be found in a widevarietyoffieldssuchasscheduling,timetabling,networkdesign,transporta- tion and distribution, vehicle routing, the travelling salesman problem, packing and cutting, satisfiability, and general mixed integer programming. The series of EvoCOP workshops/conferences was initiated in 2001 and has been held annually since then. In fact, EvoCOP is the first event specifically dedicated to the application of evolutionary computation and related methods to combinatorial optimization problems. Originally held as a workshop, Evo- COP became a conference in 2004. Past events gave researchers an excellent opportunitytopresenttheir latestresearchandtodiscusscurrentdevelopments and applications. Following the general trend of hybrid metaheuristics and di- minishing boundaries between different classes of metaheuristics, EvoCOP has broadened its scope in recent years and has solicited papers on any kind of metaheuristic for combinatorial optimization. This volume contains the proceedings of EvoCOP 2013, the 13th European ConferenceonEvolutionaryComputationinCombinatorialOptimization.Itwas held in Vienna, Austria, during April 3–5, 2013, jointly with EuroGP 2013, the 16thEuropeanConferenceonGeneticProgramming,EvoBIO2013,the11thEu- ropean Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoMUSART 2013, the Second International Con- ference and 11th European Event on Evolutionary and Biologically Inspired Music, Sound, Art and Design, and EvoApplications 2013 (formerly EvoWork- shops), which consisted of 12 individual tracks ranging from complex systems over games to risk management. From 2007, all these events are grouped under the collective name EvoStar, and constitute Europe’s premier co-located event on evolutionary computation and metaheuristics. Accepted papers of previous EvoCOP editions were published by Springer in the series Lecture Notes in Computer Science (LNCS – Volumes 2037, 2279, 2611, 3004, 3448, 3906, 4446, 4972, 5482, 6022, 6622, 7245). Statistics for each conference are as follows: VI Preface EvoCOP Submitted Accepted AcceptanceRatio 2001 31 23 74.2% 2002 32 18 56.3% 2003 39 19 48.7% 2004 86 23 26.7% 2005 66 24 36.4% 2006 77 24 31.2% 2007 81 21 25.9% 2008 69 24 34.8% 2009 53 21 39.6% 2010 69 24 34.8% 2011 42 22 52.4% 2012 48 22 45.8% 2013 50 23 46.0% Therigorous,double-blindreviewingprocessofEvoCOP2013resultedinthe selection of 23 out of 50 submitted papers; the acceptance rate was 46.0%. It is worth pointing out that the number of submissions was higher than at last year’sevent. Giventhe currenttimes ofcrisis, this is a remarkableachievement. Eachpaperwasreviewedbyasufficientnumberofmembersofthe international ProgramCommittee.Infact,theirworkisessentialforthecontinuingsuccessof EvoCOP. Moreover, acceptance/rejection decisions were not only based on the receivedrefereereportsbutalsoonapersonalevaluationoftheProgramChairs. At this point we would like to thank all authors for submitting their work to this EvoCOP edition. There are various persons and institutions that have contributed to the suc- cess of the conference and to whom we would like to express our appreciation. First of all, we thank the local organizers of EvoStar 2013, Gu¨nther R. Raidl, BinHu, andDorisDicklberger,fromtheViennaUniversityofTechnology.They didanextraordinaryjob.Furthermore,wewouldliketothankMarcSchoenauer from INRIA (France) for his continuing support concerning the MyReview con- ference management system. We also thank Kevin Sim from Edinburgh Napier University and A. S¸ima Etaner-Uyar from the Istanbul Technical University for the excellent website and publicity material. Thanks are also due to Jen- nifer Willies and the Institute for Informatics and Digital Innovation at Napier UniversityinEdinburgh,Scotland,foradministrativesupportandeventcoordi- nation. Finally, we gratefully acknowledge the Vienna University of Technology for its support of EvoStar. Last,butnotleast,wewouldliketothankCarlosCotta,PeterCowling,Jens Gottlieb, Jin-KaoHao,JanovanHemert,PeterMerz,andGu¨nther R. Raidlfor theirhardworkanddedicationatpasteditionsofEvoCOP,whichcontributedto making this conference one of the reference events in evolutionary computation and metaheuristics. April 2013 Martin Middendorf Christian Blum Organization EvoCOP 2013 was organized jointly with EuroGP 2013, EvoBIO 2013, Evo- MUSART 2013, and EvoApplications 2013. Organizing Committee Program Committee Chairs Martin Middendorf University of Leipzig, Leipzig, Germany Christian Blum IKERBASQUE, Basque Foundation for Science, and University of the Basque Country, San Sebastian, Spain Local Organization Gu¨nther R. Raidl Vienna University of Technology, Austria Bin Hu Vienna University of Technology, Austria Doris Dicklberger Vienna University of Technology, Austria Publicity Chair A. S¸ima Etaner-Uyar Istanbul Technical University, Turkey EvoCOP Steering Committee Carlos Cotta Universidad de Ma´laga, Spain Peter Cowling University of York, UK Jens Gottlieb SAP AG, Germany Jin-Kao Hao University of Angers, France Jano van Hemert University of Edinburgh, UK Peter Merz University of Applied Sciences and Arts, Hannover, Germany Gu¨nther Raidl Vienna University of Technology, Austria Program Committee Adnan Acan Eastern Mediterranean University, Gazimagusa, Turkey Hern´an Aguirre Shinshu University, Nagano, Japan Enrique Alba Universidad de Ma´laga, Spain Mehmet Emin Aydin University of Bedfordshire, UK VIII Organization Ruibin Bai University of Nottingham, UK Thomas Bartz-Beielstein Cologne University of Applied Sciences, Germany Maria Blesa Universitat Polit`ecnica de Catalunya, Spain Christian Blum IKERBASQUE and University of the Basque Country, Spain Rafael Caballero University of M´alaga, Spain Alexandre Caminada UTBM, France Pedro Castillo Universidad de Granada, Spain Jos´e Francisco Chicano Garcia Universidad de M´alaga, Spain Carlos Coello Coello CINVESTAV-IPN, Mexico Peter Cowling University of York, UK Keshav Dahal University of Bradford, UK Karl Doerner Universit¨at Wien, Austria Benjamin Doerr Max-Planck-Institut fu¨r Informatik, Germany Anton V. Eremeev Omsk Branch of Sobolev Institute of Mathematics, Russia Antonio J. Fern´andez Universidad de M´alaga, Spain Francisco Fern´andez de Vega University of Extremadura, Spain Bernd Freisleben University of Marburg, Germany Philippe Galinier Ecole Polytechnique de Montreal, Canada Jens Gottlieb SAP, Germany Walter Gutjahr University of Vienna, Austria Jin-Kao Hao University of Angers, France Geir Hasle SINTEF Applied Mathematics, Norway Istva´n Juhos University of Szeged, Hungary Graham Kendall University of Nottingham, UK Joshua Knowles University of Manchester, UK Mario K¨oppen Kyushu Institute of Technology, Japan Jozef Kratica University of Belgrade, Serbia Rhyd Lewis Cardiff University, UK Arnaud Liefooghe Universit´e des Sciences et Technologies de Lille, France Arne Løkketangen Molde College, Norway Jos´e Antonio Lozano University of the Basque Country, Spain Zhipeng Lu HUST, China Penousal Machado University of Coimbra, Portugal Dirk C. Mattfeld University of Braunschweig, Germany Barry McCollum Queen’s University Belfast, UK Juan Julia´n Merelo University of Granada, Spain Peter Merz University of Applied Sciences and Arts, Hannover, Germany Martin Middendorf Universit¨at Leipzig, Germany Julian Molina University of M´alaga, Spain Organization IX Pablo Moscato The University of Newcastle, Australia Christine L. Mumford Cardiff University, UK Nysret Musliu Vienna University of Technology, Austria Yuichi Nagata Tokyo Institute of Technology, Japan Giuseppe Nicosia University of Catania, Italy Mario Pavone University of Catania, Italy Francisco J. B. Pereira Universidade de Coimbra, Portugal Daniel Cosmin Porumbel University of Artois, France Jakob Puchinger Arsenal Research, Vienna, Austria Gu¨nther Raidl Vienna University of Technology, Austria Marcus Randall Bond University, Queensland, Australia Marc Reimann Warwick Business School, UK Andrea Roli Universita` degli Studi di Bologna, Italy Eduardo Rodriguez-Tello CINVESTAV-Tamaulipas, Mexico Patrick Siarry Universit´e Paris-EstCr´eteil Val-de-Marne, France Jim Smith University of the West of England, UK Giovanni Squillero Politecnico di Torino, Italy Thomas Stu¨tzle Universit´e Libre de Bruxelles, Belgium El-ghazali Talbi Universit´edesSciencesetTechnologiesdeLille, France Kay Chen Tan National University of Singapore, Singapore Jorge Tavares MIT, USA Jano van Hemert University of Edinburgh, UK Sebastien Verel Universit´e de Nice Sophia Antipolis, France Takeshi Yamada NTT Communication Science Laboratories, Japan Shengxiang Yang De Montfort University, UK Additional Referees Pablo Garc´ıa-S´anchez Antonio M. Mora Jean-Philippe Hamiez Mariela Nogueira Rau´l Lara-Cabrera Martin Zaefferer Table of Contents A Hyper-heuristic with a Round Robin Neighbourhood Selection....... 1 Ahmed Kheiri and Ender O¨zcan A Multiobjective Approach Based on the Law of Gravity and Mass Interactions for Optimizing Networks............................... 13 A´lvaro Rubio-Largo and Miguel A. Vega-Rodr´ıguez A Multi-objective Feature Selection Approach Based on Binary PSO and Rough Set Theory....................................... 25 Liam Cervante, Bing Xue, Lin Shang, and Mengjie Zhang A New Crossoverfor Solving Constraint Satisfaction Problems......... 37 Reza Abbasian and Malek Mouhoub A Population-Based Strategic Oscillation Algorithm for Linear Ordering Problem with Cumulative Costs ........................... 49 Wei Xiao, Wenqing Chu, Zhipeng Lu¨, Tao Ye, Guang Liu, and Shanshan Cui A Study of Adaptive Perturbation Strategy for Iterated Local Search... 61 Una Benlic and Jin-Kao Hao Adaptive MOEA/D for QoS-Based Web Service Composition.......... 73 Mihai Suciu, Denis Pallez, Marcel Cremene, and Dumitru Dumitrescu An Analysis of Local Search for the Bi-objective Bidimensional Knapsack Problem ............................................... 85 Leonardo C.T. Bezerra, Manuel L´opez-Ib´an˜ez, and Thomas Stu¨tzle An Artificial Immune System Based Approach for Solving the Nurse Re-rostering Problem............................................. 97 Broos Maenhout and Mario Vanhoucke Automatic Algorithm Selection for the Quadratic Assignment Problem Using Fitness Landscape Analysis.................................. 109 Erik Pitzer, Andreas Beham, and Michael Affenzeller Balancing Bicycle Sharing Systems: A Variable Neighborhood Search Approach ....................................................... 121 Marian Rainer-Harbach, Petrina Papazek, Bin Hu, and Gu¨nther R. Raidl XII Table of Contents Combinatorial Neighborhood Topology Particle Swarm Optimization Algorithm for the Vehicle Routing Problem ......................... 133 Yannis Marinakis and Magdalene Marinaki Dynamic Evolutionary Membrane Algorithm in Dynamic Environments ................................................... 145 Chuang Liu and Min Han From Sequential to Parallel Local Search for SAT .................... 157 Alejandro Arbelaez and Philippe Codognet Generalizing Hyper-heuristics via Apprenticeship Learning ............ 169 Shahriar Asta, Ender O¨zcan, Andrew J. Parkes, and A. S¸ima Etaner-Uyar High-Order Sequence Entropies for Measuring Population Diversity in the Traveling Salesman Problem ................................... 179 Yuichi Nagata and Isao Ono Investigating Monte-Carlo Methods on the Weak Schur Problem ....... 191 Shalom Eliahou, Cyril Fonlupt, Jean Fromentin, Virginie Marion-Poty, Denis Robilliard, and Fabien Teytaud Multi-objective AI Planning: Comparing Aggregation and Pareto Approaches ..................................................... 202 Mostepha R. Khouadjia, Marc Schoenauer, Vincent Vidal, Johann Dr´eo, and Pierre Sav´eant Predicting Genetic Algorithm Performance on the Vehicle Routing Problem Using Information Theoretic Landscape Measures............ 214 Mario Ventresca, Beatrice Ombuki-Berman, and Andrew Runka Single Line Train Scheduling with ACO............................. 226 Marc Reimann and Jose Eugenio Leal Solving Clique Covering in Very Large Sparse Random Graphs by a Technique Based on k-Fixed Coloring Tabu Search ................. 238 David Chalupa Solving the Virtual Network Mapping Problem with Construction Heuristics, Local Search and Variable Neighborhood Descent .......... 250 Johannes Infu¨hr and Gu¨nther R. Raidl The Generate-and-Solve Framework Revisited: Generating by Simulated Annealing ............................................. 262 Rommel D. Saraiva, Napolea˜o V. Nepomuceno, and Pl´acido R. Pinheiro Author Index.................................................. 275
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