12098cam a2200709Ka 4500a9708925m o d cr cnu---unuuu120830s2012 gw ob 101 0 eng d9783642329647(electronic bk.)3642329640(electronic bk.)978364232963010.1007/978-3-642-32964-7doi(OCoLC)808682352(OCoLC)964904823(OCoLC)985058602(OCoLC)1005830021(OCoLC)1058735240(OCoLC)1066658569(OCoLC)1081294901GW5XEengpnGW5XECOOZMCOCLCAOCLCQI9WE7BOCLCFBEDGEOCLCOYDXCPOCLOCLCOOCLCQEBLCPVT2ESUOCLCQIOGNJRREBCEFU3WAU@WYUYOUTKNCStQA76.58.C66 2012UYQbicsscTJFM1bicsscCOM004000bisacsh004/.3523International Conference on Parallel Problem Solving from Nature(12th :2012 :Taormina, Italy)http://share-vde.org/sharevde/rdfBibframe/Agent/2313451http://viaf.org/viaf/167423025Parallel problem solving from nature-- PPSN XII :12th International Conference, Taormina, Italy, September 1-5, 2012, Proceedings.Part II /Carlos A. Coello Coello [and others] (eds.).PPSN XIIPPSN 12Berlin ;New York :Springer,©2012.http://share-vde.org/sharevde/rdfBibframe/Publisher/181 online resource.texttxtrdacontenthttp://rdaregistry.info/termList/RDAContentType/1020computercrdamediahttp://rdaregistry.info/termList/RDAMediaType/1002online resourcecrrdacarrierhttp://rdaregistry.info/termList/RDACarrierType/1018text filePDFrdaLecture notes in computer science ;7492LNCS sublibrary. SL 1, Theoretical computer science and general issuesIncludes bibliographical references and author index.Temporal Evolution of Design Principles in Engineering Systems: Analogies with Human Evolution /Kalyanmoy Deb, Sunith Bandaru and Cem Celal Tutum --Exploiting Prior Information in Multi-objective Route Planning /Antony Waldock and David W. Corne --Analysis on Population Size and Neighborhood Recombination on Many-Objective Optimization /Naoya Kowatari, Akira Oyama, Hernán Aguirre and Kiyoshi Tanaka --Clustering Criteria in Multiobjective Data Clustering /Julia Handl and Joshua Knowles --Enhancing Profitability through Interpretability in Algorithmic Trading with a Multiobjective Evolutionary Fuzzy System /Adam Ghandar, Zbigniew Michalewicz and Ralf Zurbruegg --Bootstrapping Aggregate Fitness Selection with Evolutionary Multi-Objective Optimization /Shlomo Israel and Amiram Moshaiov --Network Topology Planning Using MOEA/D with Objective-Guided Operators /Wei Peng and Qingfu Zhang --Elitist Archiving for Multi-Objective Evolutionary Algorithms: To Adapt or Not to Adapt /Hoang N. Luong and Peter A.N. Bosman --An Improved Multiobjectivization Strategy for HP Model-Based Protein Structure Prediction /Mario Garza-Fabre, Eduardo Rodriguez-Tello and Gregorio Toscano-Pulido --MOEA/D with Iterative Thresholding Algorithm for Sparse Optimization Problems /Hui Li, Xiaolei Su, Zongben Xu and Qingfu Zhang --A Study on Evolutionary Multi-Objective Optimization with Fuzzy Approximation for Computational Expensive Problems /Alessandro G. Di Nuovo, Giuseppe Ascia and Vincenzo Catania.Multi-objective Optimization for Selecting and Scheduling Observations by Agile Earth Observing Satellites /Panwadee Tangpattanakul, Nicolas Jozefowiez and Pierre Lopez --Tailoring [epsilon]-MOEA to Concept-Based Problems /Amiram Moshaiov and Yafit Snir --Recombination of Similar Parents in SMS-EMOA on Many-Objective 0/1 Knapsack Problems /Hisao Ishibuchi, Naoya Akedo and Yusuke Nojima --An Artificial Bee Colony Algorithm for the Unrelated Parallel Machines Scheduling Problem /Francisco J. Rodriguez, Carlos García-Martínez, Christian Blum and Manuel Lozano --Controlling the Parameters of the Particle Swarm Optimization with a Self-Organized Criticality Model /Carlos M. Fernandes, Juan J. Merelo and Agostinho C. Rosa --The Apiary Topology: Emergent Behavior in Communities of Particle Swarms /Andrew McNabb and Kevin Seppi --ACO on Multiple GPUs with CUDA for Faster Solution of QAPs /Shigeyoshi Tsutsui --It's Fate: A Self-organising Evolutionary Algorithm /Jan Bim, Giorgos Karafotias, S.K. Smit, A.E. Eiben and Evert Haasdijk --Guide Objective Assisted Particle Swarm Optimization and Its Application to History Matching /Alan P. Reynolds, Asaad Abdollahzadeh, David W. Corne, Mike Christie and Brian Davies, et al.Animal Spirits in Population Spatial Dynamics /Matylda Jabłońska and Tuomo Kauranne --Autonomous Shaping via Coevolutionary Selection of Training Experience /Marcin Szubert and Krzysztof Krawiec --A Parallel Cooperative Co-evolutionary Genetic Algorithm for the Composite SaaS Placement Problem in Cloud Computing /Maolin Tang and Zeratul Izzah Mohd Yusoh --Community Detection Using Cooperative Co-evolutionary Differential Evolution /Qiang Huang, Thomas White, Guanbo Jia, Mirco Musolesi and Nil Turan, et al. --On-Line Evolution of Controllers for Aggregating Swarm Robots in Changing Environments /Berend Weel, Mark Hoogendoorn and A.E. Eiben --Buildable Objects Revisited /Martin Waßmann and Karsten Weicker --Collective Robot Navigation Using Diffusion Limited Aggregation /Jonathan Mullins, Bernd Meyer and Aiguo Patrick Hu --Global Equilibrium Search Algorithms for Combinatorial Optimization Problems /Oleg Shylo, Dmytro Korenkevych and Panos M. Pardalos --A Genetic Programming Approach for Evolving Highly-Competitive General Algorithms for Envelope Reduction in Sparse Matrices /Behrooz Koohestani and Riccardo Poli --A Memetic Approach for the Max-Cut Problem /Qinghua Wu and Jin-Kao Hao --An Improved Choice Function Heuristic Selection for Cross Domain Heuristic Search /John H. Drake, Ender Özcan and Edmund K. Burke.Optimizing Cellular Automata through a Meta-model Assisted Memetic Algorithm /Donato D'Ambrosio, Rocco Rongo, William Spataro and Giuseppe A. Trunfio --A Memetic Algorithm for Community Detection in Complex Networks /Olivier Gach and Jin-Kao Hao --Local Optima Networks, Landscape Autocorrelation and Heuristic Search Performance /Francisco Chicano, Fabio Daolio, Gabriela Ochoa, Sébastien Vérel and Marco Tomassini, et al. --A Hyper-Heuristic Classifier for One Dimensional Bin Packing Problems: Improving Classification Accuracy by Attribute Evolution /Kevin Sim, Emma Hart and Ben Paechter --A Framework to Hybridize PBIL and a Hyper-heuristic for Dynamic Environments /Gönül Uludağ, Berna Kiraz, A. Şima Etaner-Uyar and Ender Özcan --Parallelization Strategies for Hybrid Metaheuristics Using a Single GPU and Multi-core Resources /Thé Van Luong, Eric Taillard, Nouredine Melab and El-Ghazali Talbi --Adaptive Operator Selection at the Hyper-level /Eduardo Krempser, Álvaro Fialho and Helio J.C. Barbosa --Improving Lin-Kernighan-Helsgaun with Crossover on Clustered Instances of the TSP /Doug Hains, Darrell Whitley and Adele Howe --A Comparative Study of Three GPU-Based Metaheuristics /Youssef S.G. Nashed, Pablo Mesejo, Roberto Ugolotti, Jérémie Dubois-Lacoste and Stefano Cagnoni.The Effect of the Set of Low-Level Heuristics on the Performance of Selection Hyper-heuristics /M. Mısır, K. Verbeeck, P. De Causmaecker and G. Vanden Berghe --Adaptive Evolutionary Algorithms and Extensions to the HyFlex Hyper-heuristic Framework /Gabriela Ochoa, James Walker, Matthew Hyde and Tim Curtois --Applying Genetic Regulatory Networks to Index Trading /Miguel Nicolau, Michael O'Neill and Anthony Brabazon --Evolutionary 3D-Shape Segmentation Using Satellite Seeds /Kai Engel and Heinrich Müller --Benchmarking CHC on a New Application: The Software Project Scheduling Problem /Javier Matos and Enrique Alba --Automatic Evaluation Methods in Evolutionary Music: An Example with Bossa Melodies /A.R.R. Freitas, F.G. Guimarães and R.V. Barbosa --Efficient Discovery of Chromatography Equipment Sizing Strategies for Antibody Purification Processes Using Evolutionary Computing /Richard Allmendinger, Ana S. Simaria and Suzanne S. Farid --Beware the Parameters: Estimation of Distribution Algorithms Applied to Circles in a Square Packing /Marcus Gallagher --Block Diagonal Natural Evolution Strategies /Giuseppe Cuccu and Faustino Gomez --Finding Good Affinity Patterns for Matchmaking Parties Assignment through Evolutionary Computation /Sho Kuroiwa, Keiichi Yasumoto, Yoshihiro Murata and Minoru Ito --A Benchmark Generator for Dynamic Permutation-Encoded Problems /Michalis Mavrovouniotis, Shengxiang Yang and Xin Yao --Evolving Femtocell Algorithms with Dynamic and Stationary Training Scenarios /Erik Hemberg, Lester Ho, Michael O'Neill and Holger Claussen.The two volume set LNCS 7491 and 7492 constitutes the refereed proceedings of the 12th International Conference on Parallel Problem Solving from Nature, PPSN 2012, held in Taormina, Sicily, Italy, in September 2012. The total of 105 revised full papers were carefully reviewed and selected from 226 submissions. The meeting began with 6 workshops which offered an ideal opportunity to explore specific topics in evolutionary computation, bio-inspired computing and metaheuristics. PPSN 2012 also included 8 tutorials. The papers are organized in topical sections on evolutionary computation; machine learning, classifier systems, image processing; experimental analysis, encoding, EDA, GP; multiobjective optimization; swarm intelligence, collective behavior, coevolution and robotics; memetic algorithms, hybridized techniques, meta and hyperheuristics; and applications.English.Print version record.Parallel processing (Electronic computers)Congresses.http://id.loc.gov/authorities/subjects/sh2008108874Evolutionary computationCongresses.http://id.loc.gov/authorities/subjects/sh2008103386Informatique.eclasEvolutionary computation.fast(OCoLC)fst00917338Parallel processing (Electronic computers)fast(OCoLC)fst01052928Computer Science.Artificial Intelligence (incl. Robotics).Computational Biology/Bioinformatics.Computation by Abstract Devices.Pattern Recognition.Algorithm Analysis and Problem Complexity.Discrete Mathematics in Computer Science.Coello Coello, Carlos A.http://isni.org/isni/0000000366291931http://rdaregistry.info/Elements/m/P30004http://worldcat.org/oclc/808682352Print version:Parallel problem solving from nature - ppsn xii.[S.l.] : Springer, 20123642329632(OCoLC)804049335Lecture notes in computer science7492.http://share-vde.org/sharevde/rdfBibframe/Work/199003-1http://viaf.org/viaf/185480520LNCS sublibrary.SL 1,Theoretical computer science and general issues.http://share-vde.org/sharevde/rdfBibframe/Work/88034-1http://viaf.org/viaf/182127764Available to Stanford-affiliated users.https://stanford.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-642-32964-7WMSSpringerLinkProvider: SpringerpurchasedeLoaderURLsp4spocn808682352520-00The two volume set LNCS 7491 and 7492 constitutes the refereed proceedings of the 12th International Conference on Parallel Problem Solving from Nature, PPSN 2012, held in Taormina, Sicily, Italy, in September 2012. The total of 105 revised full papers were carefully reviewed and selected from 226 submissions. The meeting began with�6 workshops which offered an ideal opportunity to explore specific topics in evolutionary computation, bio-inspired computing and metaheuristics. PPSN 2012 also included 8 tutorials. The papers are organized in topical sections on evolutionary computation; machine learning, classifier systems, image processing; experimental analysis, encoding, EDA, GP; multiobjective optimization; swarm intelligence, collective behavior, coevolution and robotics; memetic algorithms, hybridized techniques, meta and hyperheuristics; and applications.MARC92STFParallel problem solving from nature-- PPSN XII : Part IIhttp://share-vde.org/sharevde/rdfBibframe/Work/9247014-1STANFORDINTERNET RESOURCEASIS19708925-1001INTERNETSULNYSUL9/16/2012TAX=8.25