Table of Contents

• A hybrid multi-objective evolutionary algorithm using an inverse neural network for aircraft control system designSalem F. Adra, Ahmed I. Hamody, Ian Griffin, Peter J. Fleming. 1-8 [doi]
• Using a multiobjective evolutionary algorithm to develop a quantum cascade laser operating in the terahertz frequency rangeAndres F. Rodriguez, Traci A. Keller, Gary B. Lamont, Thomas R. Nelson. 9-16 [doi]
• An effective explicit building block MOEA, the MOMGA-IIaRichard O. Day, Gary B. Lamont. 17-24 [doi]
• Handling constraints in robust multi-objective optimizationHimanshu Gupta, Kalyanmoy Deb. 25-32 [doi]
• Evolving hidden Markov models for protein secondary structure predictionKyoung-Jae Won, Thomas Hamelryck, Adam Prügel-Bennett, Anders Krogh. 33-40 [doi]
• Non-local adaptation of artificial predators and preyDaniel A. Ashlock, Adam Sherk. 41-48 [doi]
• A genetic algorithm for energy minimization in bio-molecular systemsXiaochun Weng, Lutz Hamel, Lenore M. Martin, Joan Peckham. 49-56 [doi]
• Assembling DNA fragments with parallel algorithmsEnrique Alba, Gabriel Luque, Sami Khuri. 57-64 [doi]
• A study of fitness inheritance and approximation techniques for multi-objective particle swarm optimizationMargarita Reyes Sierra, Carlos A. Coello Coello. 65-72 [doi]
• Linear equality constraints and homomorphous mappings in PSOChristopher K. Monson, Kevin D. Seppi. 73-80 [doi]
• Evolving problems to learn about particle swarm and other optimisersWilliam B. Langdon, Riccardo Poli. 81-88 [doi]
• Combining particle swarm optimisation with angle modulation to solve binary problemsGary Pampara, Nelis Franken, Andries Petrus Engelbrecht. 89-96 [doi]
• Fast evolution of custom machine representationsLorenz Huelsbergen. 97-104 [doi]
• A genetic algorithm for optimized reconstruction of quantized signalsFrank W. Moore. 105-111 [doi]
• An evolutionary approach to network-on-chip mapping problemGiuseppe Ascia, Vincenzo Catania, Maurizio Palesi. 112-119 [doi]
• Office layout support system using island model genetic algorithmSatoshi Hashimoto, Kazunori Haruyama, Taro Nakamura, Toyohisa Nakajima, Yuko Osana. 120-127 [doi]
• Empowerment: a universal agent-centric measure of controlAlexander S. Klyubin, Daniel Polani, Chrystopher L. Nehaniv. 128-135 [doi]
• Towards predicting spatial complexity: a learning classifier system approach to the identification of cellular automataLarry Bull, I. Lawson, Andrew Adamatzky, Ben DeLacyCostello. 136-141 [doi]
• Sensorimotor experience and its metrics: informational geometry and the temporal horizonChrystopher L. Nehaniv. 142-149 [doi]
• Using temporal information distance to locate sensorimotor experience in a metric spaceNaeem Assif Mirza, Chrystopher L. Nehaniv, Kerstin Dautenhahn, I. René J. A. te Boekhorst. 150-157 [doi]
• Dynamic salting route optimisation using evolutionary computationHisashi Handa, Lee Chapman, Xin Yao. 158-165 [doi]
• Competitive advantages of evolutionary computation for industrial applicationsArthur K. Kordon, Alex N. Kalos, Flor A. Castillo, Elsa Jordaan, Guido Smits, Mark E. Kotanchek. 166-173 [doi]
• Crawling along the Pareto front: tales from the practiceMartina Hasenjäger, Bernhard Sendhoff. 174-181 [doi]
• ICARUS: intelligent coupon allocation for retailers using searchStephen Swift, Amy Shi, Jason Crampton, Allan Tucker. 182-189 [doi]
• Design and analysis of an asymmetric mutation operatorThomas Jansen, Dirk Sudholt. 190-197 [doi]
• A note on the population based incremental learning with infinite population sizeReza Rastegar, Mohammad Reza Meybodi. 198-205 [doi]
• On the complexity of overcoming gaps with isotropic mutations and elitist selectionJens Jägersküpper. 206-213 [doi]
• Theoretical models of selection pressure for dEAs: topology influenceEnrique Alba, Gabriel Luque. 214-221 [doi]
• Evolutionary many-objective optimisation: many once or one many?Evan J. Hughes. 222-227 [doi]
• Modeling and convergence analysis of a continuous multi-objective differential evolution algorithmFeng Xue, Arthur C. Sanderson, Robert J. Graves. 228-235 [doi]
• Comparison study of SPEA2+, SPEA2, and NSGA-II in diesel engine emissions and fuel economy problemTomoyuki Hiroyasu, Seiichi Nakayama, Mitsunori Miki. 236-242 [doi]
• Multi-objective optimisation in the presence of uncertaintyJonathan E. Fieldsend, Richard M. Everson. 243-250 [doi]
• Flexible protein-ligand docking using particle swarm optimizationBo-Fu Liu, Hung-Ming Chen, Hui-Ling Huang, Shiow-Fen Hwang, Shinn-Ying Ho. 251-258 [doi]
• A new guided genetic algorithm for 2D hydrophobic-hydrophilic model to predict protein foldingTamjidul Hoque, Madhu Chetty, Laurence Dooley. 259-266 [doi]
• Comparing evolutionary optimization with ant colony optimization of drug design interval rules with and without pre-initializationJürgen Paetz. 267-273 [doi]
• Derivation of quantitative structure-toxicity relationships for ecotoxicological effects of organic chemicals: evolving neural networks and evolving rulesGary B. Fogel, Mars Cheung. 274-281 [doi]
• Investigating binary PSO parameter influence on the knights cover problemNelis Franken, Andries Petrus Engelbrecht. 282-289 [doi]
• A comparison between the Pittsburgh and Michigan approaches for the binary PSO algorithmAlejandro Cervantes, Inés María Galván, Pedro Isasi. 290-297 [doi]
• Principal component particle swarm optimization: a step towards topological swarm intelligenceMark S. Voss. 298-305 [doi]
• Nonlinear mapping using particle swarm optimisationAuralia I. Edwards, Andries Petrus Engelbrecht, Nelis Franken. 306-313 [doi]
• Using data mining to improve mutation in a tool for molecular evolutionEric-Wubbo Lameijer, Adriaan P. IJzerman, Joost N. Kok. 314-321 [doi]
• Localization using evolution strategies in sensornetsMark Terwilliger, Ajay K. Gupta, Ashfaq A. Khokhar, Garrison W. Greenwood. 322-327 [doi]
• Elevator group supervisory control system using genetic network programming with functional localizationToru Eguchi, Kotaro Hirasawa, Jinglu Hu, Sandor Markon. 328-335 [doi]
• Elevator group supervisory control system using genetic network programming with reinforcement learningJin Zhou, Toru Eguchi, Kotaro Hirasawa, Jinglu Hu, Sandor Markon. 336-342 [doi]
• Environmental fitness for sustained population dynamicsNicolas Brodu. 343-350 [doi]
• The degree of potential damage in agonistic contests and its effects on social aggression, territoriality and display evolutionRobert Lowe, Chrystopher L. Nehaniv, Daniel Polani, Lola Cañamero. 351-358 [doi]
• Assessing the performance of different behavior selection architectures in a large and complex virtual environmentWan Ching Ho, Orlando Avila-García, Chrystopher L. Nehaniv. 359-365 [doi]
• Agent-based modeling of lottery markets with the expected-utility paradigmShu-Heng Chen, Bin-Tzong Chie, Chia-Wei Lee. 366-373 [doi]
• A new approach to dynamics analysis of genetic algorithms without selectionTatsuya Okabe, Yaochu Jin, Bernhard Sendhoff. 374-381 [doi]
• Theoretical comparisons of search dynamics of genetic algorithms and evolution strategiesTatsuya Okabe, Yaochu Jin, Bernhard Sendhoff. 382-389 [doi]
• Mathematics prevents bloat [genetic programming]Cameron Skinner, Patricia J. Riddle, Chris Triggs. 390-395 [doi]
• On the convergence of multi-parent genetic algorithmsChuan-Kang Ting. 396-403 [doi]
• Isotropic symmetric /spl alpha/-stable mutations for evolutionary algorithmsAndrzej Obuchowicz, Przemyslaw Pretki. 404-410 [doi]
• Theoretical analysis of generalised recombinationRiccardo Poli, Christopher R. Stephens. 411-418 [doi]
• Accessibility between neutral networks in indirect genotype-phenotype mappingsPer Kristian Lehre, Pauline C. Haddow. 419-426 [doi]
• Geometric landscape of homologous crossover for syntactic treesAlberto Moraglio, Riccardo Poli. 427-434 [doi]
• Multi-objective optimisation of the pump scheduling problem using SPEA2Manuel López-Ibáñez, T. Devi Prasad, Ben Paechter. 435-442 [doi]
• GDE3: the third evolution step of generalized differential evolutionSaku Kukkonen, Jouni Lampinen. 443-450 [doi]
• On the locality of dominance and recombination in multiobjective evolutionary algorithmsHiroyuki Sato, Hernán E. Aguirre, Kiyoshi Tanaka. 451-458 [doi]
• An optimization algorithm for imprecise multi-objective problem functionsPhilipp Limbourg, Daniel E. Salazar Aponte. 459-466 [doi]
• Significance of randomness in P-RnaPredict - a parallel evolutionary algorithm for RNA foldingKay C. Wiese, Andrew Hendriks, Alain Deschênes, Belgacem Ben Youssef. 467-474 [doi]
• Algorithms for RNA folding: a comparison of dynamic programming and parallel evolutionary algorithmsKay C. Wiese, Andrew Hendriks, Jagdeep Poonian. 475-483 [doi]
• A new representation in evolutionary algorithms for the optimization of bioprocessesMiguel Rocha, Isabel Rocha, Eugénio C. Ferreira. 484-490 [doi]
• A statistical comparison of grammatical evolution strategies in the domain of human geneticsBill C. White, David M. Reif, Joshua C. Gilbert, Jason H. Moore. 491-497 [doi]
• Real-parameter optimization performance study on the CEC-2005 benchmark with SPC-PNXPedro J. Ballester, John Stephenson, Jonathan N. Carter, Kerry Gallagher. 498-505 [doi]
• Real-parameter optimization with differential evolutionJani Rönkkönen, Saku Kukkonen, Kenneth Price. 506-513 [doi]
• A population-based, steady-state procedure for real-parameter optimizationAnkur Sinha, Santosh Tiwari, Kalyanmoy Deb. 514-521 [doi]
• Dynamic multi-swarm particle swarm optimizer with local searchJing J. Liang, Ponnuthurai N. Suganthan. 522-528 [doi]
• Crossing the fabrication gap: evolving assembly plans to build 3-D objectsJohn Rieffel, Jordan B. Pollack. 529-536 [doi]
• Formation of modules in a computational model of embryogenyChris P. Bowers. 537-542 [doi]
• Evolving developing spiking neural networksDiego Federici. 543-550 [doi]
• The art of nature: evolving mechanisms of development for self-organization and differentiationSanjeev Kumar. 551-558 [doi]
• Coevolutionary species adaptation genetic algorithms: growth and mutation on coupled fitness landscapesLarry Bull. 559-564 [doi]
• A virtual creatures model for studies in artificial evolutionThomas Miconi, Alastair Channon. 565-572 [doi]
• Autobiographic agents in dynamic virtual environments - performance comparison for different memory control architecturesWan Ching Ho, Kerstin Dautenhahn, Chrystopher L. Nehaniv. 573-580 [doi]
• Investigating the effect of random noise on the evolution of colour termsMike Dowman. 581-587 [doi]
• XCS with computed prediction for the learning of Boolean functionsPier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg. 588-595 [doi]
• The compact classifier system: scalability analysis and first resultsXavier Llorà, Kumara Sastry, David E. Goldberg. 596-603 [doi]
• Class imbalance problem in UCS classifier system: fitness adaptationAlbert Orriols-Puig, Ester Bernadó-Mansilla. 604-611 [doi]
• On the use of rule-sharing in learning classifier system ensemblesLarry Bull, Matthew Studley, Anthony J. Bagnall, Ian Whittley. 612-617 [doi]
• The performance of the DXCS system on continuous-valued inputs in stationary and dynamic environmentsHai Huong Dam, Hussein A. Abbass, Chris Lokan. 618-625 [doi]
• Adapting multiple kernel parameters for support vector machines using genetic algorithmsSergio A. Rojas, Delmiro Fernandez-Reyes. 626-631 [doi]
• Multiobjective clustering around medoidsJulia Handl, Joshua D. Knowles. 632-639 [doi]
• Evolutionary algorithm for noun phrase detection in natural language processingJose Ignacio Serrano, Lourdes Araujo. 640-647 [doi]
• Searching for protein classification featuresScott F. Smith 0002. 648-653 [doi]
• Genetic fuzzy fusion of SVM classifiers for biomedical dataXiujuan Chen, Robert W. Harrison, Yan-Qing Zhang. 654-659 [doi]
• Clustering-based approach to identify solutions for the inference of regulatory networksChristian Spieth, Felix Streichert, Nora Speer, Andreas Zell. 660-667 [doi]
• Drug discovery: exploring the utility of cluster oriented genetic algorithms in virtual library designBhuvan Sharma, Ian C. Parmee, Mark Whittaker, Alistair Sedwell. 668-675 [doi]
• A statistical comparison of grammatical evolution strategies in the domain of human geneticsBill C. White, David M. Reif, Joshua C. Gilbert, Jason H. Moore. 676-682 [doi]
• Boolean genetic programming for promoter recognition in eukaryotesSinger X. J. Wang, Peter Lichodzijewski. 683-690 [doi]
• Evolutionary divide-and-conquer approach to inferring S-system models of genetic networksShinn-Ying Ho, Chih-Hung Hsieh, Fu-Chieh Yu, Hui-Ling Huang. 691-698 [doi]
• Multi-drug cancer chemotherapy scheduling by a new memetic optimization algorithmSui-Man Tse, Yong Liang, Kwong-Sak Leung, Kin-Hong Lee, Tony Shu Kam Mok. 699-706 [doi]
• DNA implementation of k-shortest paths computationZuwairie Ibrahim, Yusei Tsuboi, Mohd Saufee Muhammad, Osamu Ono, Marzuki Khalid. 707-713 [doi]
• Intelligent particle swarm optimization in multiobjective optimizationXiao-hua Zhang, Hong-yun Meng, Licheng Jiao. 714-719 [doi]
• A feasibility study of EEG dipole source localization using particle swarm optimizationLijun Qiu, Yongjie Li, Dezhong Yao. 720-726 [doi]
• WoSP: a multi-optima particle swarm algorithmTim Hendtlass. 727-734 [doi]
• Making soccer kicks better: a study in particle swarm optimization and evolution strategiesNamrata Khemka, Christian Jacob, Gerald Cole. 735-742 [doi]
• Multi-objective differential evolution - algorithm, convergence analysis, and applicationsFeng Xue, Arthur C. Sanderson, Robert J. Graves. 743-750 [doi]
• Complementary selection and variation for an efficient multiobjective optimization of complex systemsBenoît Bagot, Hartmut Pohlheim. 751-757 [doi]
• Statistical optimisation and tuning of GA factorsAndrei Petrovski, Alexander E. I. Brownlee, John A. W. McCall. 758-764 [doi]
• Comparison among evolutionary algorithms and classical optimization methods for circuit design problemsAngelo Marcello Anile, Vincenzo Cutello, Giuseppe Nicosia, Rosario Rascunà, Salvatore Spinella. 765-772 [doi]
• Sequential parameter optimizationThomas Bartz-Beielstein, Christian Lasarczyk, Mike Preuss. 773-780 [doi]
• Prediction and optimization in a dynamic environment: a case studyMartin Schmidt, Zbigniew Michalewicz, Matthew Michalewicz, Constantin Chiriac. 781-788 [doi]
• Restricted evolution based multimodal function optimization in holographic grating designQing Ling, Gang Wu, Qiuping Wang. 789-794 [doi]
• D:::3:::G:::2:::A: the dynamic distributed double guided genetic algorithm and its application for the RLFAPSadok Bouamama, Khaled Ghédira. 795-801 [doi]
• An evolutionary algorithm to design diesel enginesTeresa Donateo, Domenico Laforgia, Giovanni Aloisio, Silvia Mocavero. 802-809 [doi]
• Dynamic tactical air strike asset allocation using evolutionary computationJohn R. McDonnell, Aaron J. Rice, Andy Spydell, Stewart Stremler. 810-815 [doi]
• BMPGA: a bi-objective multi-population genetic algorithm for multi-modal function optimizationJie Yao, Nawwaf N. Kharma, Peter Grogono. 816-823 [doi]
• Multi-objective evolutionary fuzzy cognitive maps for decision supportNicos H. Mateou, Moiseos Moiseos, Andreas S. Andreou. 824-830 [doi]
• Evolving an agent collective for cooperative mine sweepingA. E. Eiben, Geoff Nitschke, Martijn C. Schut. 831-836 [doi]
• Hyperplane localisation of self-replicating and other complex cellular automata rulesAntonio Lafusa, Terry Bossomaier. 837-843 [doi]
• Using cellular automata with evolutionary learned rules to solve the online partitioning problemAndreas Goebels, Alexander Weimer, Steffen Priesterjahn. 837-843 [doi]
• Search in linked document space by social topology agentsKeitaro Naruse, Ryuichi Oka. 850-855 [doi]
• Optimisation of client trust by evolutionary learning of financial planning strategies in an agent based modelTerry Bossomaier, Denise Jarratt, Mohamed Mohideen Anver, James Thompson, John Cooper. 856-863 [doi]
• An adaptive methodology for synthesising mobile phone games using genetic algorithmsMilan A. Verma, Peter W. McOwan. 864-871 [doi]
• Real-parameter optimization using the mutation step co-evolutionPetr Posik. 872-879 [doi]
• Performance of aggregation pheromone system on unimodal and multimodal problemsShigeyoshi Tsutsui, Martin Pelikan, Ashish Ghosh. 880-887 [doi]
• Adaptive local search parameters for real-coded memetic algorithmsDaniel Molina, Francisco Herrera, Manuel Lozano. 888-895 [doi]
• Hybrid real-coded genetic algorithms with female and male differentiationCarlos García-Martínez, Manuel Lozano. 896-903 [doi]
• Coevolving antibodies with a rich representation of grammatical evolutionSaoirse Amarteifio, Michael O Neill. 904-911 [doi]
• On improving genetic programming for symbolic regressionSteven Gustafson, Edmund K. Burke, Natalio Krasnogor. 912-919 [doi]
• Comparing tree depth limits and resource-limited GPSara Silva, Ernesto Costa. 920-927 [doi]
• The use of a genetic algorithm to optimize the functional form of a multi-dimensional polynomial fit to experimental dataJanet Clegg, John F. Dawson, Stuart J. Porter, Mark H. Barley. 928-934 [doi]
• The performance of polyploid evolutionary algorithms is improved both by having many chromosomes and by having many copies of each chromosome on symbolic regression problemsRachel Cavill, Stephen L. Smith, Andy Terrell. 935-941 [doi]
• A grid ant colony algorithm for the orienteering problemJosé A. Mocholí, Javier Jaén Martínez, José Hilario Canós. 942-949 [doi]
• A new efficient and useful robust optimization approach - design for multi-objective six sigmaKoji Shimoyama, Akira Oyama, Kozo Fujii. 950-957 [doi]
• Population based incremental learning with guided mutation versus genetic algorithms: iterated prisoners dilemmaTimothy Gosling, Nanlin Jin, Edward P. K. Tsang. 958-965 [doi]
• Differential evolution methods for unsupervised image classificationMahamed G. Omran, Andries Petrus Engelbrecht, Ayed A. Salman. 966-973 [doi]
• Elitist selection schemes for genetic algorithm based printed circuit board inspection systemSyamsiah Mashohor, Jonathan R. Evans, Tughrul Arslan. 974-978 [doi]
• Incorporation of adaptive mutation based on subjective evaluation in an interactive evolution strategyPraminda Caleb-Solly, Jim E. Smith. 979-986 [doi]
• Application of evolutionary algorithm on a transportation scheduling problem - the mass rapid transitChung Min Kwan, Che Sau Chang. 987-994 [doi]
• On the appropriateness of negative selection defined over Hamming shape-space as a network intrusion detection systemThomas Stibor, Jonathan Timmis, Claudia M. Eckert. 995-1002 [doi]
• Enumerating knight s tours using an ant colony algorithmPhilip Hingston, Graham Kendall. 1003-1010 [doi]
• The emergence of cooperation among agents using simple fixed bias taggingEnda Howley, Colm O Riordan. 1011-1016 [doi]
• Coevolution of neural Go players in a cultural environmentHelmut A. Mayer, Peter Maier. 1017-1024 [doi]
• Genetic programming in economic modellingKorneel Duyvesteyn, Uzay Kaymak. 1025-1031 [doi]
• Stock trading using PSEC and RSPOP: a novel evolving rough set-based neuro-fuzzy approachKai Keng Ang, Chai Quek. 1032-1039 [doi]
• A parallel Monte Carlo simulation on cluster systems for financial derivatives pricingJin Suk Kim, Suk Joon Byun. 1040-1044 [doi]
• Optimal trade execution: an evolutionary approachMarcus Lim, Richard J. Coggins. 1045-1052 [doi]
• A memetic model of product inventionAnthony Brabazon, Tiago Ferra de Sousa, Arlindo Silva, Michael O Neill, Ernesto Costa. 1053-1060 [doi]
• Logistic regression for parameter tuning on an evolutionary algorithmIloneide C. O. Ramos, Marco César Goldbarg, Elizabeth Ferreira Gouvea Goldbarg, Adrião Duarte Dória Neto. 1061-1068 [doi]
• Three dimensional module packing by simulated annealingHirokazu Yamagishi, Hiroshi Ninomiya, Hideki Asai. 1069-1074 [doi]
• A genetic word clustering algorithmGerman Hernandez, Leonardo Bobadilla, Oscar Sánchez. 1075-1080 [doi]
• A constrained optimization evolutionary algorithm based on multiobjective optimization techniquesYong Wang, Zixing Cai. 1081-1087 [doi]
• Dynamic power minimization during combinational circuit testing as a traveling salesman problemArtem Sokolov, Alodeep Sanyal, L. Darrell Whitley, Yashwant K. Malaiya. 1088-1095 [doi]
• A hybrid approach to parameter tuning in genetic algorithmsBo Yuan, Marcus Gallagher. 1096-1103 [doi]
• Forming hyper-heuristics with GAs when solving 2D-regular cutting stock problemsHugo Terashima-Marín, Armando Moran-Saavedra, Peter Ross. 1104-1110 [doi]
• Music evolution in a complex system of interacting agentsTao Gong, Qian Zhang, Hua Wu. 1111-1118 [doi]
• Optimal simulated annealing schedules for larger problemsWilliam Benfold, Jonathan Hallam, Adam Prügel-Bennett. 1119-1126 [doi]
• Crossover effect over penalty methods in function optimization with constraintsDomingo Ortiz-Boyer, Rafael del Castillo Gomariz, Nicolás García-Pedrajas, César Hervás-Martínez. 1127-1134 [doi]
• On the effects of representation on evolving grid robotsSteven M. Corns, Daniel A. Ashlock, Kenneth Mark Bryden, David Muth Jr.. 1135-1140 [doi]
• Multi-objective techniques in genetic programming for evolving classifiersDaniel Parrott, Xiaodong Li, Victor Ciesielski. 1141-1148 [doi]
• Genetic programming for generating prototypes in classification problemsLuigi P. Cordella, Claudio De Stefano, Francesco Fontanella, Angelo Marcelli. 1149-1155 [doi]
• A purely evolutionary memetic algorithm as a first step towards symbiotic coevolutionStefano Cagnoni, Daniel Rivero, Leonardo Vanneschi. 1156-1163 [doi]
• Linear genetic programming using a compressed genotype representationJohan Parent, Ann Nowé, Kris Steenhaut, Anne Defaweux. 1164-1171 [doi]
• Single parent genetic programmingWendy Ashlock, Dan Ashlock. 1172-1179 [doi]
• CasGP: building cascaded hierarchical models using nichingPeter Lichodzijewski, Malcolm I. Heywood, A. Nur Zincir-Heywood. 1180-1187 [doi]
• A novel evolutionary algorithm based on an orthogonal design for dynamic optimization problems (ODEA)Sanyou Y. Zeng, Hugo de Garis, Jun He, Lishan Kang. 1188-1195 [doi]
• AgentP classifier system: self-adjusting vs. gradual approachZhanna V. Zatuchna, Anthony J. Bagnall. 1196-1203 [doi]
• Particle swarm optimization and fitness sharing to solve multi-objective optimization problemsM. Salazar Lechuga, J. E. Rowe. 1204-1211 [doi]
• PSO under an adaptive schemeMihaela Breaban, Henri Luchian. 1212-1217 [doi]
• Particle swarms for drug designWalter Cedeñto, Dimitris K. Agraflotis. 1218-1225 [doi]
• Gaussian particle swarm with jumpsRenato A. Krohling. 1226-1231 [doi]
• Multi-agent cooperation using the ant algorithm with variable pheromone placementE. Borzello, Laurence D. Merkle. 1232-1237 [doi]
• Tree swarm optimization: an approach to PSO-based tree discoveryChristian Veenhuis, Mario Köppen, J. Kruger, Bertram Nickolay. 1238-1245 [doi]
• Modeling and analysis of indirect communication in particle swarm optimizationS. Helwig, Christian Haubelt, Jürgen Teich. 1246-1253 [doi]
• Optimization of the calibration for an internal combustion engine management system using multi-objective genetic algorithmsGholamreza Vossoughi, Siavash Rezazadeh. 1254-1261 [doi]
• Multi-objective evolutionary optimization of subsonic airfoils by kriging approximation and evolution controlS. D Angelo, E. A. Minisci. 1262-1267 [doi]
• Comparing algorithms, representations and operators for the multi-objective knapsack problemG. Colombo, Christine L. Mumford. 1268-1275 [doi]
• Strategies based on polar coordinates to keep diversity in multi-objective genetic algorithmDa Kuang, Jinhua Zheng. 1276-1281 [doi]
• Multi-objective optimisation using S-metric selection: application to three-dimensional solution spacesBoris Naujoks, Nicola Beume, Michael T. M. Emmerich. 1282-1289 [doi]
• Adapting evolutionary dynamics of variation for multi-objective optimizationEu Jin Teoh, Swee Chiang Chiam, Chi Keong Goh, Kay Chen Tan. 1290-1297 [doi]
• D:::3:::G:::2:::A : a new dynamic distributed double guided genetic algorithm for Sigma-CSPsSadok Bouamama, Khaled Ghédira. 1298-1304 [doi]
• Reciprocal translocation against GA-deceptivenessAdnan Acan, Yüce Tekol. 1305-1310 [doi]
• Rank and proximity based crossover (RPC) to improve convergence in genetic searchGoutam Chakraborty, Basabi Chakraborty. 1311-1316 [doi]
• Linkage identification for real-valued loci by fitness difference classificationMiwako Tsuji, Masaharu Munetomo, Kiyoshi Akama. 1317-1324 [doi]
• Representation of genetic individuals for unmixing multispectral dataArnaud Quirin, Jerzy J. Korczak. 1325-1331 [doi]
• Evolutionary optimization of autonomous vehicle tracksJose Ignacio Serrano, Javier Alonso, M. Dolores del Castillo, José Eugenio Naranjo. 1332-1339 [doi]
• An efficient approach of simple and multirecombinated genetic algorithms for parallel machines schedulingEdgardo Ferretti, Susana C. Esquivel. 1340-1347 [doi]
• Solving the combined modular product scheduling and production cell reconfiguration problem: a GA approach with parallel chromosome codingHegui Ye, Ming Liang. 1348-1355 [doi]
• Final exam scheduler - FESEnder Özcan, Ersan Ersoy. 1356-1363 [doi]
• Performance of single stage representation genetic algorithms in scheduling flexible flow shopsJosé Antonio Vázquez Rodríguez, Abdellah Salhi. 1364-1371 [doi]
• Improving the performance of the repeating permutation representation using morphogenic computation and generalised modified order crossoverPio Fenton, Paul Walsh. 1372-1379 [doi]
• LEGA: an architecture for learning and evolving flexible job-shop schedulesNhu Binh Ho, Joc Cing Tay. 1380-1387 [doi]
• A multiobjective approach to the portfolio optimization problemRubén Armañanzas, José Antonio Lozano. 1388-1395 [doi]
• Adaptive population size for univariate marginal distribution algorithmYi Hong, Qingsheng Ren, Jin Zeng. 1396-1402 [doi]
• A quantitative approach for validating the building-block hypothesisChatchawit Aporntewan, Prabhas Chongstitvatana. 1403-1409 [doi]
• Optimization of noisy fitness functions with univariate marginal distribution algorithmYi Hong, Qingsheng Ren, Jin Zeng. 1410-1417 [doi]
• Interactions and dependencies in estimation of distribution algorithmsRoberto Santana, Pedro Larrañaga, José Antonio Lozano. 1418-1425 [doi]
• Improving model combination through local search in parallel univariate EDAsLuis de la Ossa, José A. Gámez, Jose Miguel Puerta. 1426-1433 [doi]
• Evolving swarms that build 3D structuresSebastian von Mammen, Christian Jacob, Gabriella Kókai. 1434-1441 [doi]
• Two problem independent methods for generating initial solutionsMadalina Ionita, Henri Luchian. 1442-1447 [doi]
• Effects of evolutionary and lifetime learning on minds and bodies in an artifical societyTamas Buresch, A. E. Eiben, Geoff Nitschke, Martijn C. Schut. 1448-1454 [doi]
• Ecology-inspired evolutionary algorithm using feasibility-based grouping for constrained optimizationMing Yuchi, Jong-Hwan Kim. 1455-1461 [doi]
• Adaptive random search with intensification and diversification combined with genetic algorithmDongKyu Sohn, Kotaro Hirasawa, Jinglu Hu. 1462-1469 [doi]
• Efficient real-coded genetic algorithms with flexible-step crossoverAtsuko Mutoh, Shohei Kato, Hidenori Itoh. 1470-1476 [doi]
• Identifying on-line behavior and some sources of difficulty in two competitive approaches for constrained optimizationEfrén Mezura-Montes, Carlos A. Coello Coello. 1477-1484 [doi]
• PCB assembly: an efficient genetic algorithm for slot assignment and component pick and place sequence problemsAbel Garcia-Najera, Carlos A. Brizuela. 1485-1492 [doi]
• Constructive hyper-heuristics in class timetablingPeter Ross, Javier G. Marín-Blázquez. 1493-1500 [doi]
• Image color transfer with region matching based on IECQiang Li, Yuyan Chao, Tsuyoshi Nakamura, Lifeng He, Hidenori Itoh. 1501-1508 [doi]
• Two-layered face detection system using evolutionary algorithmJun-Su Jang, Jong-Hwan Kim. 1509-1515 [doi]
• Wireless access point configuration by genetic algorithm using a local ruleYuji Sato, Yuko Kera. 1516-1523 [doi]
• Empirical studies on parallel network construction of Bayesian optimization algorithmsMasaharu Munetomo, Naoya Murao, Kiyoshi Akama. 1524-1531 [doi]
• Ant colony system for the beam angle optimization problem in radiotherapy planning: a preliminary studyYongjie Li, Dezhong Yao, Wufan Chen, Jiancheng Zheng, Jonathan Yao. 1532-1538 [doi]
• The harmonic decision matrix: a subtle model of the natural neuronBenoit C. Bagot. 1539-1546 [doi]
• Heuristics-based evolutionary algorithm for solving unit commitment and dispatchDipti Srinivasan, Jerome Chazelas. 1547-1554 [doi]
• A novel non-uniform mutation operator and its application to the problem of optimising controller parametersEva Alfaro-Cid, Euan William McGookin, David James Murray-Smith. 1555-1562 [doi]
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• XCS with computed prediction in continuous multistep environmentsPier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg. 2032-2039 [doi]
• A memetic accuracy-based neural learning classifier systemToby O Hara, Larry Bull. 2040-2045 [doi]
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• Maximizing winning trades using a rough set based other-product (RSPOP) fuzzy neural network intelligent stock trading systemAndy Tan, Chai Quek. 2076-2083 [doi]
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• Brain-inspired genetic complementary learning for stock market predictionTuan Zea Tan, Chai Quek, Geok See Ng. 2653-2660 [doi]
• Equilibrium selection by co-evolution for bargaining problems under incomplete information about time preferencesNanlin Jin. 2661-2668 [doi]
• Predicting the impact of anticipatory action on US stock market - an event study using ANFIS (a neural fuzzy model)Philip Cheng, M. I. Mah, Chai Quek. 2669-2676 [doi]
• Using ant colony optimization to find low energy atomic cluster structuresPhlip Tomson, Garrison W. Greenwood. 2677-2682 [doi]
• Constraint handling and stochastic ranking in ACOBernd Meyer. 2683-2690 [doi]
• Co-evolutionary modular neural networks for automatic problem decompositionVineet R. Khare, Xin Yao, Bernhard Sendhoff, Yaochu Jin, Heiko Wersing. 2691-2698 [doi]
• Distributed brain modelling by means of hierarchical collaborative coevolutionMichail Maniadakis, Panos E. Trahanias. 2699-2706 [doi]
• A self-adaptive mate selection model for genetic programmingRodney Fry, Stephen L. Smith, Andy M. Tyrrell. 2707-2714 [doi]
• Evolutionary computation variants for cooperative spatial coordinationGeorgios N. Yannakakis, John Hallam, John Levine. 2715-2722 [doi]
• Evolutionary multiobjective optimization with a segment based external memory support for the multiobjective quadratic assignment problemAdnan Acan, Ahmet Ünveren. 2723-2729 [doi]
• Effects of experience bias when seeding with prior resultsMitchell A. Potter, R. Paul Wiegand, H. Joseph Blumenthal, Donald Sofge. 2730-2737 [doi]
• A scatter search based optimizer for the registration of 3D surfacesOscar Cordón, Sergio Damas, Jose Santamaría. 2738-2744 [doi]
• A particle swarm optimiser with passive congregation approach to thermal modelling for power transformersW. H. Tang, S. He, E. Prempain, Q. H. Wu, J. Fitch. 2745-2751 [doi]
• An efficient memetic, permutation-based evolutionary algorithm for real-world train timetablingYann Semet, Marc Schoenauer. 2752-2759 [doi]
• Evolution of L-systems for compact virtual landscape generationDaniel A. Ashlock, Stephen P. Gent, Kenneth Mark Bryden. 2760-2767 [doi]
• An analysis of the search performance of a mini-population evolutionary algorithm for a robot-locomotion control problemGregory R. Kramer, John C. Gallagher. 2768-2775 [doi]
• Nonlinear projection for the display of high dimensional distance dataDaniel A. Ashlock, Justin Schonfeld. 2776-2783 [doi]
• No free lunch, Kolmogorov complexity and the information landscapeYossi Borenstein, Riccardo Poli. 2784-2791 [doi]
• Multidimensional epistasis and the advantage of sexRichard A. Watson, John Wakeley. 2792-2799 [doi]
• Relationships between internal and external metrics in co-evolutionElena Popovici, Kenneth A. De Jong. 2800-2807 [doi]
• DynDE: a differential evolution for dynamic optimization problemsRui Mendes, Arvind S. Mohais. 2808-2815 [doi]
• Genetic algorithms with self-organized criticality for dynamic optimization problemsRenato Tinós, Shengxiang Yang. 2816-2823 [doi]
• A study of dynamic severity in chaotic fitness landscapesHendrik Richter. 2824-2831 [doi]
• A study on polynomial regression and Gaussian process global surrogate model in hierarchical surrogate-assisted evolutionary algorithmZongzhao Zhou, Yew-Soon Ong, My Hanh Nguyen, Dudy Lim. 2832-2839 [doi]
• Heterogeneous multiprocessor scheduling with differential evolutionKrzysztof Rzadca, Franciszek Seredynski. 2840-2847 [doi]
• Evolving dispatching rules for solving the flexible job-shop problemNhu Binh Ho, Joc Cing Tay. 2848-2855 [doi]
• An empirical analysis of the grouping genetic algorithm: the timetabling caseRhydian Lewis, Ben Paechter. 2856-2863 [doi]
• An ACO algorithm for service restoration in power distribution systemsIsamu Watanabe. 2864-2871 [doi]