Evolutionary Multiobjective Optimization 1

• 
  Salem F. Adra, Ahmed I. Hamody, Ian Griffin, Peter J. Fleming: A hybrid multi-objective evolutionary algorithm using an inverse neural network for aircraft control system design. 1-8
• 
  Andres F. Rodriguez, Traci A. Keller, Gary B. Lamont, Thomas R. Nelson: Using a multiobjective evolutionary algorithm to develop a quantum cascade laser operating in the terahertz frequency range. 9-16
• 
  Richard O. Day, Gary B. Lamont: An effective explicit building block MOEA, the MOMGA-IIa. 17-24
• 
  Himanshu Gupta, Kalyanmoy Deb: Handling constraints in robust multi-objective optimization. 25-32

Bioinformatics and Bioscience Applications 1

• 
  Kyoung-Jae Won, Thomas Hamelryck, Adam Prügel-Bennett, Anders Krogh: Evolving hidden Markov models for protein secondary structure prediction. 33-40
• 
  Daniel A. Ashlock, Adam Sherk: Non-local adaptation of artificial predators and prey. 41-48
• 
  Xiaochun Weng, Lutz Hamel, Lenore M. Martin, Joan Peckham: A genetic algorithm for energy minimization in bio-molecular systems. 49-56
• 
  Enrique Alba, Gabriel Luque, Sami Khuri: Assembling DNA fragments with parallel algorithms. 57-64

Particle Swarm Optimisation 1

• 
  Margarita Reyes Sierra, Carlos A. Coello Coello: A study of fitness inheritance and approximation techniques for multi-objective particle swarm optimization. 65-72
• 
  Christopher K. Monson, Kevin D. Seppi: Linear equality constraints and homomorphous mappings in PSO. 73-80
• 
  William B. Langdon, Riccardo Poli: Evolving problems to learn about particle swarm and other optimisers. 81-88
• 
  Gary Pampara, Nelis Franken, Andries Petrus Engelbrecht: Combining particle swarm optimisation with angle modulation to solve binary problems. 89-96

Real World Applications 1

• 
  Lorenz Huelsbergen: Fast evolution of custom machine representations. 97-104
• 
  Frank W. Moore: A genetic algorithm for optimized reconstruction of quantized signals. 105-111
• 
  Giuseppe Ascia, Vincenzo Catania, Maurizio Palesi: An evolutionary approach to network-on-chip mapping problem. 112-119
• 
  Satoshi Hashimoto, Kazunori Haruyama, Taro Nakamura, Toyohisa Nakajima, Yuko Osana: Office layout support system using island model genetic algorithm. 120-127

Complex Adaptive Systems: Towards Predictive Methodologies 1

• 
  Alexander S. Klyubin, Daniel Polani, Chrystopher L. Nehaniv: Empowerment: a universal agent-centric measure of control. 128-135
• 
  Larry Bull, I. Lawson, Andrew Adamatzky, Ben de Lacy Costello: Towards predicting spatial complexity: a learning classifier system approach to the identification of cellular automata. 136-141
• 
  Chrystopher L. Nehaniv: Sensorimotor experience and its metrics: informational geometry and the temporal horizon. 142-149
• 
  Naeem Assif Mirza, Chrystopher L. Nehaniv, Kerstin Dautenhahn, I. René J. A. te Boekhorst: Using temporal information distance to locate sensorimotor experience in a metric space. 150-157

Applications in Business

• 
  Hisashi Handa, Lee Chapman, Xin Yao: Dynamic salting route optimisation using evolutionary computation. 158-165
• 
  Arthur K. Kordon, Alex N. Kalos, Flor A. Castillo, Elsa Jordaan, Guido Smits, Mark E. Kotanchek: Competitive advantages of evolutionary computation for industrial applications. 166-173
• 
  Martina Hasenjäger, Bernhard Sendhoff: Crawling along the Pareto front: tales from the practice. 174-181
• 
  Stephen Swift, Amy Shi, Jason Crampton, Allan Tucker: ICARUS: intelligent coupon allocation for retailers using search. 182-189

Convergence, Runtime Analysis and Associated Studies 1

• 
  Thomas Jansen, Dirk Sudholt: Design and analysis of an asymmetric mutation operator. 190-197
• 
  Reza Rastegar, Mohammad Reza Meybodi: A note on the population based incremental learning with infinite population size. 198-205
• 
  Jens Jägersküpper: On the complexity of overcoming gaps with isotropic mutations and elitist selection. 206-213
• 
  Enrique Alba, Gabriel Luque: Theoretical models of selection pressure for dEAs: topology influence. 214-221

Evolutionary Multiobjective Optimization 2

• 
  Evan J. Hughes: Evolutionary many-objective optimisation: many once or one many? 222-227
• 
  Feng Xue, Arthur C. Sanderson, Robert J. Graves: Modeling and convergence analysis of a continuous multi-objective differential evolution algorithm. 228-235
• 
  Tomoyuki Hiroyasu, Seiichi Nakayama, Mitsunori Miki: Comparison study of SPEA2+, SPEA2, and NSGA-II in diesel engine emissions and fuel economy problem. 236-242
• 
  Jonathan E. Fieldsend, Richard M. Everson: Multi-objective optimisation in the presence of uncertainty. 243-250

Bioinformatics and Bioscience Applications 2

• 
  Bo-Fu Liu, Hung-Ming Chen, Hui-Ling Huang, Shiow-Fen Hwang, Shinn-Ying Ho: Flexible protein-ligand docking using particle swarm optimization. 251-258
• 
  Tamjidul Hoque, Madhu Chetty, Laurence Dooley: A new guided genetic algorithm for 2D hydrophobic-hydrophilic model to predict protein folding. 259-266
• 
  Jürgen Paetz: Comparing evolutionary optimization with ant colony optimization of drug design interval rules with and without pre-initialization. 267-273
• 
  Gary B. Fogel, Mars Cheung: Derivation of quantitative structure-toxicity relationships for ecotoxicological effects of organic chemicals: evolving neural networks and evolving rules. 274-281

Particle Swarm Optimisation 2

• 
  Nelis Franken, Andries Petrus Engelbrecht: Investigating binary PSO parameter influence on the knights cover problem. 282-289
• 
  Alejandro Cervantes, Inés María Galván, Pedro Isasi: A comparison between the Pittsburgh and Michigan approaches for the binary PSO algorithm. 290-297
• 
  Mark S. Voss: Principal component particle swarm optimization: a step towards topological swarm intelligence. 298-305
• 
  Auralia I. Edwards, Andries Petrus Engelbrecht, Nelis Franken: Nonlinear mapping using particle swarm optimisation. 306-313

Real World Applications 2

• 
  Eric-Wubbo Lameijer, Adriaan P. IJzerman, Joost N. Kok: Using data mining to improve mutation in a tool for molecular evolution. 314-321
• 
  Mark Terwilliger, Ajay K. Gupta, Ashfaq A. Khokhar, Garrison W. Greenwood: Localization using evolution strategies in sensornets. 322-327
• 
  Toru Eguchi, Kotaro Hirasawa, Jinglu Hu, Sandor Markon: Elevator group supervisory control system using genetic network programming with functional localization. 328-335
• 
  Jin Zhou, Toru Eguchi, Kotaro Hirasawa, Jinglu Hu, Sandor Markon: Elevator group supervisory control system using genetic network programming with reinforcement learning. 336-342

Complex Adaptive Systems: Towards Predictive Methodologies 2

• 
  Nicolas Brodu: Environmental fitness for sustained population dynamics. 343-350
• 
  Robert Lowe, Chrystopher L. Nehaniv, Daniel Polani, Lola Cañamero: The degree of potential damage in agonistic contests and its effects on social aggression, territoriality and display evolution. 351-358
• 
  Wan Ching Ho, Orlando Avila-García, Chrystopher L. Nehaniv: Assessing the performance of different behavior selection architectures in a large and complex virtual environment. 359-365
• 
  Shu-Heng Chen, Bin-Tzong Chie, Chia-Wei Lee: Agent-based modeling of lottery markets with the expected-utility paradigm. 366-373

Convergence, Runtime Analysis and Associated Studies 2

• 
  Tatsuya Okabe, Yaochu Jin, Bernhard Sendhoff: A new approach to dynamics analysis of genetic algorithms without selection. 374-381
• 
  Tatsuya Okabe, Yaochu Jin, Bernhard Sendhoff: Theoretical comparisons of search dynamics of genetic algorithms and evolution strategies. 382-389
• 
  Cameron Skinner, Patricia J. Riddle, Chris Triggs: Mathematics prevents bloat [genetic programming]. 390-395
• 
  Chuan-Kang Ting: On the convergence of multi-parent genetic algorithms. 396-403

Encoding and Operators

• 
  Andrzej Obuchowicz, Przemyslaw Pretki: Isotropic symmetric /spl alpha/-stable mutations for evolutionary algorithms. 404-410
• 
  Riccardo Poli, Christopher R. Stephens: Theoretical analysis of generalised recombination. 411-418
• 
  Per Kristian Lehre, Pauline C. Haddow: Accessibility between neutral networks in indirect genotype-phenotype mappings. 419-426
• 
  Alberto Moraglio, Riccardo Poli: Geometric landscape of homologous crossover for syntactic trees. 427-434

Evolutionary Multiobjective Optimization 3

• 
  Manuel López-Ibáñez, T. Devi Prasad, Ben Paechter: Multi-objective optimisation of the pump scheduling problem using SPEA2. 435-442
• 
  Saku Kukkonen, Jouni Lampinen: GDE3: the third evolution step of generalized differential evolution. 443-450
• 
  Hiroyuki Sato, Hernán E. Aguirre, Kiyoshi Tanaka: On the locality of dominance and recombination in multiobjective evolutionary algorithms. 451-458
• 
  Philipp Limbourg, Daniel E. Salazar Aponte: An optimization algorithm for imprecise multi-objective problem functions. 459-466

Bioinformatics and Bioscience Applications 3

• 
  Kay C. Wiese, Andrew Hendriks, Alain Deschênes, Belgacem Ben Youssef: Significance of randomness in P-RnaPredict - a parallel evolutionary algorithm for RNA folding. 467-474
• 
  Kay C. Wiese, Andrew Hendriks, Jagdeep Poonian: Algorithms for RNA folding: a comparison of dynamic programming and parallel evolutionary algorithms. 475-483
• 
  Miguel Rocha, Isabel Rocha, Eugénio C. Ferreira: A new representation in evolutionary algorithms for the optimization of bioprocesses. 484-490
• 
  Bill C. White, David M. Reif, Joshua C. Gilbert, Jason H. Moore: A statistical comparison of grammatical evolution strategies in the domain of human genetics. 491-497

Real Parameter Optimization 1

• 
  Pedro J. Ballester, John Stephenson, Jonathan N. Carter, Kerry Gallagher: Real-parameter optimization performance study on the CEC-2005 benchmark with SPC-PNX. 498-505
• 
  Jani Rönkkönen, Saku Kukkonen, Kenneth Price: Real-parameter optimization with differential evolution. 506-513
• 
  Ankur Sinha, Santosh Tiwari, Kalyanmoy Deb: A population-based, steady-state procedure for real-parameter optimization. 514-521
• 
  Jing J. Liang, Ponnuthurai N. Suganthan: Dynamic multi-swarm particle swarm optimizer with local search. 522-528

Evolutionary Design 1

• 
  John Rieffel, Jordan B. Pollack: Crossing the fabrication gap: evolving assembly plans to build 3-D objects. 529-536
• 
  Chris P. Bowers: Formation of modules in a computational model of embryogeny. 537-542
• 
  Diego Federici: Evolving developing spiking neural networks. 543-550
• 
  Sanjeev Kumar: The art of nature: evolving mechanisms of development for self-organization and differentiation. 551-558

Artificial Life

• 
  Larry Bull: Coevolutionary species adaptation genetic algorithms: growth and mutation on coupled fitness landscapes. 559-564
• 
  Thomas Miconi, Alastair Channon: A virtual creatures model for studies in artificial evolution. 565-572
• 
  Wan Ching Ho, Kerstin Dautenhahn, Chrystopher L. Nehaniv: Autobiographic agents in dynamic virtual environments - performance comparison for different memory control architectures. 573-580
• 
  Mike Dowman: Investigating the effect of random noise on the evolution of colour terms. 581-587

Learning Classifier Systems

• 
  Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg: XCS with computed prediction for the learning of Boolean functions. 588-595
• 
  Xavier Llorà, Kumara Sastry, David E. Goldberg: The compact classifier system: scalability analysis and first results. 596-603
• 
  Albert Orriols-Puig, Ester Bernadó-Mansilla: Class imbalance problem in UCS classifier system: fitness adaptation. 604-611
• 
  Larry Bull, Matthew Studley, Anthony J. Bagnall, Ian Whittley: On the use of rule-sharing in learning classifier system ensembles. 612-617

Machine Learning / Data Mining

• 
  Hai Huong Dam, Hussein A. Abbass, Chris Lokan: The performance of the DXCS system on continuous-valued inputs in stationary and dynamic environments. 618-625
• 
  Sergio A. Rojas, Delmiro Fernandez-Reyes: Adapting multiple kernel parameters for support vector machines using genetic algorithms. 626-631
• 
  Julia Handl, Joshua D. Knowles: Multiobjective clustering around medoids. 632-639
• 
  Jose Ignacio Serrano, Lourdes Araujo: Evolutionary algorithm for noun phrase detection in natural language processing. 640-647

Poster Session 1

• 
  Scott F. Smith: Searching for protein classification features. 648-653
• 
  Xiujuan Chen, Robert W. Harrison, Yan-Qing Zhang: Genetic fuzzy fusion of SVM classifiers for biomedical data. 654-659
• 
  Christian Spieth, Felix Streichert, Nora Speer, Andreas Zell: Clustering-based approach to identify solutions for the inference of regulatory networks. 660-667
• 
  Bhuvan Sharma, Ian C. Parmee, Mark Whittaker, Alistair Sedwell: Drug discovery: exploring the utility of cluster oriented genetic algorithms in virtual library design. 668-675
• 
  Bill C. White, David M. Reif, Joshua C. Gilbert, Jason H. Moore: A statistical comparison of grammatical evolution strategies in the domain of human genetics. 676-682
• 
  Singer X. J. Wang, Peter Lichodzijewski: Boolean genetic programming for promoter recognition in eukaryotes. 683-690
• 
  Shinn-Ying Ho, Chih-Hung Hsieh, Fu-Chieh Yu, Hui-Ling Huang: Evolutionary divide-and-conquer approach to inferring S-system models of genetic networks. 691-698
• 
  Sui-Man Tse, Yong Liang, Kwong-Sak Leung, Kin-Hong Lee, Tony Shu Kam Mok: Multi-drug cancer chemotherapy scheduling by a new memetic optimization algorithm. 699-706
• 
  Zuwairie Ibrahim, Yusei Tsuboi, Mohd Saufee Muhammad, Osamu Ono, Marzuki Khalid: DNA implementation of k-shortest paths computation. 707-713
• 
  Xiao-hua Zhang, Hong-yun Meng, Licheng Jiao: Intelligent particle swarm optimization in multiobjective optimization. 714-719
• 
  Lijun Qiu, Yongjie Li, Dezhong Yao: A feasibility study of EEG dipole source localization using particle swarm optimization. 720-726
• 
  Tim Hendtlass: WoSP: a multi-optima particle swarm algorithm. 727-734
• 
  Namrata Khemka, Christian Jacob, Gerald Cole: Making soccer kicks better: a study in particle swarm optimization and evolution strategies. 735-742
• 
  Feng Xue, Arthur C. Sanderson, Robert J. Graves: Multi-objective differential evolution - algorithm, convergence analysis, and applications. 743-750
• 
  Benoît Bagot, Hartmut Pohlheim: Complementary selection and variation for an efficient multiobjective optimization of complex systems. 751-757
• 
  Andrei Petrovski, Alexander E. I. Brownlee, John A. W. McCall: Statistical optimisation and tuning of GA factors. 758-764
• 
  Angelo Marcello Anile, Vincenzo Cutello, Giuseppe Nicosia, Rosario Rascunà, Salvatore Spinella: Comparison among evolutionary algorithms and classical optimization methods for circuit design problems. 765-772
• 
  Thomas Bartz-Beielstein, Christian Lasarczyk, Mike Preuss: Sequential parameter optimization. 773-780
• 
  Martin Schmidt, Zbigniew Michalewicz, Matthew Michalewicz, Constantin Chiriac: Prediction and optimization in a dynamic environment: a case study. 781-788
• 
  Qing Ling, Gang Wu, Qiuping Wang: Restricted evolution based multimodal function optimization in holographic grating design. 789-794
• 
  Sadok Bouamama, Khaled Ghédira: D³G²A: the dynamic distributed double guided genetic algorithm and its application for the RLFAP. 795-801
• 
  Teresa Donateo, Domenico Laforgia, Giovanni Aloisio, Silvia Mocavero: An evolutionary algorithm to design diesel engines. 802-809
• 
  John R. McDonnell, Aaron J. Rice, Andy Spydell, Stewart Stremler: Dynamic tactical air strike asset allocation using evolutionary computation. 810-815
• 
  Jie Yao, Nawwaf N. Kharma, Peter Grogono: BMPGA: a bi-objective multi-population genetic algorithm for multi-modal function optimization. 816-823
• 
  Nicos H. Mateou, Moiseos Moiseos, Andreas S. Andreou: Multi-objective evolutionary fuzzy cognitive maps for decision support. 824-830
• 
  A. E. Eiben, Geoff Nitschke, Martijn C. Schut: Evolving an agent collective for cooperative mine sweeping. 831-836
• 
  Andreas Goebels, Alexander Weimer, Steffen Priesterjahn: Using cellular automata with evolutionary learned rules to solve the online partitioning problem. 837-843
• 
  Antonio Lafusa, Terry Bossomaier: Hyperplane localisation of self-replicating and other complex cellular automata rules. 837-843
• 
  Keitaro Naruse, Ryuichi Oka: Search in linked document space by social topology agents. 850-855
• 
  Terry Bossomaier, Denise Jarratt, Mohamed Mohideen Anver, James Thompson, John Cooper: Optimisation of client trust by evolutionary learning of financial planning strategies in an agent based model. 856-863
• 
  Milan A. Verma, Peter W. McOwan: An adaptive methodology for synthesising mobile phone games using genetic algorithms. 864-871
• 
  Petr Posik: Real-parameter optimization using the mutation step co-evolution. 872-879
• 
  Shigeyoshi Tsutsui, Martin Pelikan, Ashish Ghosh: Performance of aggregation pheromone system on unimodal and multimodal problems. 880-887
• 
  Daniel Molina, Francisco Herrera, Manuel Lozano: Adaptive local search parameters for real-coded memetic algorithms. 888-895
• 
  Carlos García-Martínez, Manuel Lozano: Hybrid real-coded genetic algorithms with female and male differentiation. 896-903
• 
  Saoirse Amarteifio, Michael O'Neill: Coevolving antibodies with a rich representation of grammatical evolution. 904-911
• 
  Steven Gustafson, Edmund K. Burke, Natalio Krasnogor: On improving genetic programming for symbolic regression. 912-919
• 
  Sara Silva, Ernesto Costa: Comparing tree depth limits and resource-limited GP. 920-927
• 
  Janet Clegg, John F. Dawson, Stuart J. Porter, Mark H. Barley: The use of a genetic algorithm to optimize the functional form of a multi-dimensional polynomial fit to experimental data. 928-934
• 
  Rachel Cavill, Stephen L. Smith, Andy Terrell: The performance of polyploid evolutionary algorithms is improved both by having many chromosomes and by having many copies of each chromosome on symbolic regression problems. 935-941

Poster Session 2

• 
  José A. Mocholí, Javier Jaén Martínez, José Hilario Canós: A grid ant colony algorithm for the orienteering problem. 942-949
• 
  Koji Shimoyama, Akira Oyama, Kozo Fujii: A new efficient and useful robust optimization approach - design for multi-objective six sigma. 950-957
• 
  Timothy Gosling, Nanlin Jin, Edward P. K. Tsang: Population based incremental learning with guided mutation versus genetic algorithms: iterated prisoners dilemma. 958-965
• 
  Mahamed G. Omran, Andries Petrus Engelbrecht, Ayed A. Salman: Differential evolution methods for unsupervised image classification. 966-973
• 
  Syamsiah Mashohor, Jonathan R. Evans, Tughrul Arslan: Elitist selection schemes for genetic algorithm based printed circuit board inspection system. 974-978
• 
  Praminda Caleb-Solly, Jim E. Smith: Incorporation of adaptive mutation based on subjective evaluation in an interactive evolution strategy. 979-986
• 
  Chung Min Kwan, Che Sau Chang: Application of evolutionary algorithm on a transportation scheduling problem - the mass rapid transit. 987-994
• 
  Thomas Stibor, Jonathan Timmis, Claudia M. Eckert: On the appropriateness of negative selection defined over Hamming shape-space as a network intrusion detection system. 995-1002
• 
  Philip Hingston, Graham Kendall: Enumerating knight's tours using an ant colony algorithm. 1003-1010
• 
  Enda Howley, Colm O'Riordan: The emergence of cooperation among agents using simple fixed bias tagging. 1011-1016
• 
  Helmut A. Mayer, Peter Maier: Coevolution of neural Go players in a cultural environment. 1017-1024
• 
  Korneel Duyvesteyn, Uzay Kaymak: Genetic programming in economic modelling. 1025-1031
• 
  Kai Keng Ang, Chai Quek: Stock trading using PSEC and RSPOP: a novel evolving rough set-based neuro-fuzzy approach. 1032-1039
• 
  Jin Suk Kim, Suk Joon Byun: A parallel Monte Carlo simulation on cluster systems for financial derivatives pricing. 1040-1044
• 
  Marcus Lim, Richard J. Coggins: Optimal trade execution: an evolutionary approach. 1045-1052
• 
  Anthony Brabazon, Tiago Ferra de Sousa, Arlindo Silva, Michael O'Neill, Ernesto Costa: A memetic model of product invention. 1053-1060
• 
  Iloneide C. O. Ramos, Marco César Goldbarg, Elizabeth Ferreira Gouvea Goldbarg, Adrião Duarte Dória Neto: Logistic regression for parameter tuning on an evolutionary algorithm. 1061-1068
• 
  Hirokazu Yamagishi, Hiroshi Ninomiya, Hideki Asai: Three dimensional module packing by simulated annealing. 1069-1074
• 
  German Hernandez, Leonardo Bobadilla, Oscar Sanchez: A genetic word clustering algorithm. 1075-1080
• 
  Yong Wang, Zixing Cai: A constrained optimization evolutionary algorithm based on multiobjective optimization techniques. 1081-1087
• 
  Artem Sokolov, Alodeep Sanyal, L. Darrell Whitley, Yashwant K. Malaiya: Dynamic power minimization during combinational circuit testing as a traveling salesman problem. 1088-1095
• 
  Bo Yuan, Marcus Gallagher: A hybrid approach to parameter tuning in genetic algorithms. 1096-1103
• 
  Hugo Terashima-Marín, Armando Moran-Saavedra, Peter Ross: Forming hyper-heuristics with GAs when solving 2D-regular cutting stock problems. 1104-1110
• 
  Tao Gong, Qian Zhang, Hua Wu: Music evolution in a complex system of interacting agents. 1111-1118
• 
  William Benfold, Jonathan Hallam, Adam Prügel-Bennett: Optimal simulated annealing schedules for larger problems. 1119-1126
• 
  Domingo Ortiz-Boyer, Rafael del Castillo Gomariz, Nicolás García-Pedrajas, César Hervás-Martínez: Crossover effect over penalty methods in function optimization with constraints. 1127-1134
• 
  Steven M. Corns, Daniel A. Ashlock, Kenneth Mark Bryden, David Muth Jr.: On the effects of representation on evolving grid robots. 1135-1140
• 
  Daniel Parrott, Xiaodong Li, Victor Ciesielski: Multi-objective techniques in genetic programming for evolving classifiers. 1141-1148
• 
  Luigi P. Cordella, Claudio De Stefano, Francesco Fontanella, Angelo Marcelli: Genetic programming for generating prototypes in classification problems. 1149-1155
• 
  Stefano Cagnoni, Daniel Rivero, Leonardo Vanneschi: A purely evolutionary memetic algorithm as a first step towards symbiotic coevolution. 1156-1163
• 
  Johan Parent, Ann Nowé, Kris Steenhaut, Anne Defaweux: Linear genetic programming using a compressed genotype representation. 1164-1171
• 
  Wendy Ashlock, Dan Ashlock: Single parent genetic programming. 1172-1179
• 
  Peter Lichodzijewski, Malcolm I. Heywood, A. Nur Zincir-Heywood: CasGP: building cascaded hierarchical models using niching. 1180-1187

• 
  Sanyou Y. Zeng, Hugo de Garis, Jun He, Lishan Kang: A novel evolutionary algorithm based on an orthogonal design for dynamic optimization problems (ODEA). 1188-1195
• 
  Zhanna V. Zatuchna, Anthony J. Bagnall: AgentP classifier system: self-adjusting vs. gradual approach. 1196-1203
• 
  M. Salazar Lechuga, J. E. Rowe: Particle swarm optimization and fitness sharing to solve multi-objective optimization problems. 1204-1211
• 
  Mihaela Breaban, Henri Luchian: PSO under an adaptive scheme. 1212-1217
• 
  Walter Cedeñto, Dimitris K. Agraflotis: Particle swarms for drug design. 1218-1225
• 
  Renato A. Krohling: Gaussian particle swarm with jumps. 1226-1231
• 
  E. Borzello, Laurence D. Merkle: Multi-agent cooperation using the ant algorithm with variable pheromone placement. 1232-1237
• 
  Christian Veenhuis, Mario Köppen, Jörg Krüger, Bertram Nickolay: Tree swarm optimization: an approach to PSO-based tree discovery. 1238-1245
• 
  S. Helwig, Christian Haubelt, Jürgen Teich: Modeling and analysis of indirect communication in particle swarm optimization. 1246-1253
• 
  Gholamreza Vossoughi, Siavash Rezazadeh: Optimization of the calibration for an internal combustion engine management system using multi-objective genetic algorithms. 1254-1261
• 
  Salvatore D'Angelo, Edmondo A. Minisci: Multi-objective evolutionary optimization of subsonic airfoils by kriging approximation and evolution control. 1262-1267
• 
  G. Colombo, Christine L. Mumford: Comparing algorithms, representations and operators for the multi-objective knapsack problem. 1268-1275
• 
  Da Kuang, Jinhua Zheng: Strategies based on polar coordinates to keep diversity in multi-objective genetic algorithm. 1276-1281
• 
  Boris Naujoks, Nicola Beume, Michael T. M. Emmerich: Multi-objective optimisation using S-metric selection: application to three-dimensional solution spaces. 1282-1289
• 
  Eu Jin Teoh, Swee Chiang Chiam, Chi Keong Goh, Kay Chen Tan: Adapting evolutionary dynamics of variation for multi-objective optimization. 1290-1297
• 
  Sadok Bouamama, Khaled Ghédira: D³G²A : a new dynamic distributed double guided genetic algorithm for Sigma-CSPs. 1298-1304
• 
  Adnan Acan, Yüce Tekol: Reciprocal translocation against GA-deceptiveness. 1305-1310
• 
  Goutam Chakraborty, Basabi Chakraborty: Rank and proximity based crossover (RPC) to improve convergence in genetic search. 1311-1316
• 
  Miwako Tsuji, Masaharu Munetomo, Kiyoshi Akama: Linkage identification for real-valued loci by fitness difference classification. 1317-1324
• 
  Arnaud Quirin, Jerzy J. Korczak: Representation of genetic individuals for unmixing multispectral data. 1325-1331
• 
  Jose Ignacio Serrano, Javier Alonso, M. Dolores del Castillo, José Eugenio Naranjo: Evolutionary optimization of autonomous vehicle tracks. 1332-1339
• 
  Edgardo Ferretti, Susana C. Esquivel: An efficient approach of simple and multirecombinated genetic algorithms for parallel machines scheduling. 1340-1347
• 
  Hegui Ye, Ming Liang: Solving the combined modular product scheduling and production cell reconfiguration problem: a GA approach with parallel chromosome coding. 1348-1355
• 
  Ender Özcan, Ersan Ersoy: Final exam scheduler - FES. 1356-1363
• 
  José Antonio Vázquez Rodríguez, Abdellah Salhi: Performance of single stage representation genetic algorithms in scheduling flexible flow shops. 1364-1371
• 
  Pio Fenton, Paul Walsh: Improving the performance of the repeating permutation representation using morphogenic computation and generalised modified order crossover. 1372-1379
• 
  Nhu Binh Ho, Joc Cing Tay: LEGA: an architecture for learning and evolving flexible job-shop schedules. 1380-1387
• 
  Rubén Armañanzas, José Antonio Lozano: A multiobjective approach to the portfolio optimization problem. 1388-1395
• 
  Yi Hong, Qingsheng Ren, Jin Zeng: Adaptive population size for univariate marginal distribution algorithm. 1396-1402
• 
  Chatchawit Aporntewan, Prabhas Chongstitvatana: A quantitative approach for validating the building-block hypothesis. 1403-1409
• 
  Yi Hong, Qingsheng Ren, Jin Zeng: Optimization of noisy fitness functions with univariate marginal distribution algorithm. 1410-1417
• 
  Roberto Santana, Pedro Larrañaga, José Antonio Lozano: Interactions and dependencies in estimation of distribution algorithms. 1418-1425
• 
  Luis de la Ossa, José A. Gámez, Jose Miguel Puerta: Improving model combination through local search in parallel univariate EDAs. 1426-1433
• 
  Sebastian von Mammen, Christian Jacob, Gabriella Kókai: Evolving swarms that build 3D structures. 1434-1441
• 
  Madalina Ionita, Henri Luchian: Two problem independent methods for generating initial solutions. 1442-1447
• 
  Tamas Buresch, A. E. Eiben, Geoff Nitschke, Martijn C. Schut: Effects of evolutionary and lifetime learning on minds and bodies in an artifical society. 1448-1454

Plenary Poster Session VAR4: Various Topics 4

• 
  Ming Yuchi, Jong-Hwan Kim: Ecology-inspired evolutionary algorithm using feasibility-based grouping for constrained optimization. 1455-1461
• 
  DongKyu Sohn, Kotaro Hirasawa, Jinglu Hu: Adaptive random search with intensification and diversification combined with genetic algorithm. 1462-1469
• 
  Atsuko Mutoh, Shohei Kato, Hidenori Itoh: Efficient real-coded genetic algorithms with flexible-step crossover. 1470-1476
• 
  Efrén Mezura-Montes, Carlos A. Coello Coello: Identifying on-line behavior and some sources of difficulty in two competitive approaches for constrained optimization. 1477-1484
• 
  Abel Garcia-Najera, Carlos A. Brizuela: PCB assembly: an efficient genetic algorithm for slot assignment and component pick and place sequence problems. 1485-1492
• 
  Peter Ross, Javier G. Marín-Blázquez: Constructive hyper-heuristics in class timetabling. 1493-1500
• 
  Qiang Li, Yuyan Chao, Tsuyoshi Nakamura, Lifeng He, Hidenori Itoh: Image color transfer with region matching based on IEC. 1501-1508
• 
  Jun-Su Jang, Jong-Hwan Kim: Two-layered face detection system using evolutionary algorithm. 1509-1515
• 
  Yuji Sato, Yuko Kera: Wireless access point configuration by genetic algorithm using a local rule. 1516-1523
• 
  Masaharu Munetomo, Naoya Murao, Kiyoshi Akama: Empirical studies on parallel network construction of Bayesian optimization algorithms. 1524-1531
• 
  Yongjie Li, Dezhong Yao, Wufan Chen, Jiancheng Zheng, Jonathan Yao: Ant colony system for the beam angle optimization problem in radiotherapy planning: a preliminary study. 1532-1538
• 
  Benoit C. Bagot: The harmonic decision matrix: a subtle model of the natural neuron. 1539-1546
• 
  Dipti Srinivasan, Jerome Chazelas: Heuristics-based evolutionary algorithm for solving unit commitment and dispatch. 1547-1554
• 
  Eva Alfaro-Cid, Euan William McGookin, David James Murray-Smith: A novel non-uniform mutation operator and its application to the problem of optimising controller parameters. 1555-1562
• 
  Ajith Abraham, Crina Grosan: Genetic programming approach for fault modeling of electronic hardware. 1563-1569
• 
  Masaya Yoshikawa, Hidekazu Terai: Performance driven placement technique based on collaboration of software and hardware. 1570-1575
• 
  Naoki Koizumi, Ikuo Yoshihara, Kunihito Yamamori, Moritoshi Yasunaga: Variable length segmental-transmission-line and its parameter optimization based on GA. 1576-1582
• 
  Se-young Lee, Hyeong Soo Chang: An ant system based multicasting in mobile ad hoc network. 1583-1588
• 
  Frederico Paiva Quintão, Fabíola Guerra Nakamura, Geraldo Robson Mateus: Evolutionary algorithm for the dynamic coverage problem applied to wireless sensor networks design. 1589-1596
• 
  Emilio Miguelanez, Ali M. S. Zalzala, Paul Buxton: Swarm intelligence in automated electrical wafer sort classification. 1597-1604
• 
  Ryuji Goto, Yuji Sato: Applicability of genetic algorithms to movement analysis of a moving object by analyzing sound signals. 1605-1612
• 
  David Wallin, Conor Ryan, R. Muhammad Atif Azad: Symbiogenetic coevolution. 1613-1620
• 
  Shigeo Doi, Masayuki Yamamura: Congestion detection and clearing history of trip time in AntNet. 1621-1628
• 
  Tao Gong, James W. Minett, William S.-Y. Wang: Computational exploration on language emergence and cultural dissemination. 1629-1636
• 
  Jonatan Gómez, Arturo Garcia, Camilo Silva: COFRE: a fuzzy rule coevolutionary approach for multiclass classification problems. 1637-1644
• 
  José Ignacio Hidalgo, Francisco Fernández: Balancing the computation effort in genetic algorithms. 1645-1652
• 
  Martin H. Luerssen, David M. W. Powers: Graph composition in a graph grammar-based method for automata network evolution. 1653-1660
• 
  Jonathan Hallam, Adam Prügel-Bennett: Barrier-based models of hard problems and crossover. 1661-1666
• 
  Ambedkar Dukkipati, M. Narasimha Murty, Shalabh Bhatnagar: Information theoretic justification of Boltzmann selection and its generalization to Tsallis case. 1667-1674
• 
  Carlos M. Fonseca, Marisol B. Correia: Developing redundant binary representations for genetic search. 1675-1682
• 
  Christopher R. Stephens, Riccardo Poli: Coarse graining in an evolutionary algorithm with recombination, duplication and inversion. 1683-1690
• 
  Swagatam Das, Amit Konar, Uday Kumar Chakraborty: Improved differential evolution algorithms for handling noisy optimization problems. 1691-1698
• 
  Steven M. Corns, Kenneth Mark Bryden, Daniel A. Ashlock: Solution transfer rates in graph based evolutionary algorithms. 1699-1705
• 
  Eugene Eberbach: The role of completeness in convergence of evolutionary algorithms. 1706-1713

Evolutionary Multiobjective Optimization 4

• 
  Shinya Watanabe, Kazutoshi Sakakibara: Multi-objective approaches in a single-objective optimization environment. 1714-1721
• 
  Raj Subbu, Piero P. Bonissone, Neil H. W. Eklund, Srinivas Bollapragada, Kete Charles Chalermkraivuth: Multiobjective financial portfolio design: a hybrid evolutionary approach. 1722-1729
• 
  Ramesh Rajagopalan, Chilukuri K. Mohan, Pramod K. Varshney, Kishan Mehrotra: Multi-objective mobile agent routing in wireless sensor networks. 1730-1737

Genome Informatics

• 
  Shuhei Kimura, Katsuki Sonoda, Soichiro Yamane, Koki Matsumura, Mariko Hatakeyama: Inference of genetic networks using neural network models. 1738-1745
• 
  Daekwan Seo, Moritoshi Yasunaga, Insook Kim, Byungwoon Ham, Jung Hwan Kim: Finding transcriptional regulatory elements in Dictyostelium gene expression. 1746-1752
• 
  Shinn-Ying Ho, Chong-Cheng Lee, Hung-Ming Chen, Hui-Ling Huang: Efficient gene selection for classification of microarray data. 1753-1760
• 
  Naotoshi Nakashima, Akimitsu Matsubara, Isao Ono, Norihiko Ono, Shin-ichi Tate: A genetic algorithm taking account of substructures for NMR three-dimensional protein structure determination. 1761-1768

Real Parameter Optimization 2

• 
  Anne Auger, Nikolaus Hansen: A restart CMA evolution strategy with increasing population size. 1769-1776
• 
  Anne Auger, Nikolaus Hansen: Performance evaluation of an advanced local search evolutionary algorithm. 1777-1784
• 
  A. Kai Qin, Ponnuthurai N. Suganthan: Self-adaptive differential evolution algorithm for numerical optimization. 1785-1791
• 
  Bo Yuan, Marcus Gallagher: Experimental results for the special session on real-parameter optimization at CEC 2005: a simple, continuous EDA. 1792-1799

Evolutionary Design 2

• 
  Jeffrey Horn: Coevolving species for shape nesting. 1800-1807
• 
  Germán Terrazas, Natalio Krasnogor, Graham Kendall, Marian Gheorghe: Automated tile design for self-assembly conformations. 1808-1814
• 
  Simon Huband, Luigi Barone, Philip Hingston, R. Lyndon While, David Tuppurainen, Richard Bearman: Designing comminution circuits with a multi-objective evolutionary algorithm. 1815-1822
• 
  Cuong To, Jiri Vohradsky: Classification of proteomic kinetic patterns using supervised genetic programming. 1823-1830

Evolutionary Algorithms: Algorithm Design

• 
  David Power, Conor Ryan, R. Muhammad Atif Azad: Promoting diversity using migration strategies in distributed genetic algorithms. 1831-1838
• 
  Catalin Stoean, Mike Preuss, Ruxandra Gorunescu, Dumitru Dumitrescu: Elitist generational genetic chromodynamics - a new radii-based evolutionary algorithm for multimodal optimization. 1839-1846
• 
  Dimitris K. Tasoulis, Vassilis P. Plagianakos, Michael N. Vrahatis: Clustering in evolutionary algorithms to efficiently compute simultaneously local and global minima. 1847-1854
• 
  Grant Dick, Peter A. Whigham: The behaviour of genetic drift in a spatially-structured evolutionary algorithm. 1855-1860

Combinatorial and Numerical Optimization

• 
  Daniel A. Ashlock, Kenneth Mark Bryden, Steven M. Corns: Graph based evolutionary algorithms enhance the identification of Steiner systems. 1861-1866
• 
  Shin Ando, Einoshin Suzuki, Shigenobu Kobayashi: Sample based crowding method for multimodal optimization in continuous domain. 1867-1874
• 
  Adnan Acan, Akin Günay: Enhanced particle swarm optimization through external memory support. 1875-1882
• 
  Andrew Tuson, Peter Ross, Tim Duncan: Evolutionary search at the knowledge level. 1883-1890

Evolutionary Computation and Games 2

• 
  Ivan Tanev, Michal Joachimczak, Hitoshi Hemmi, Kazutoshi Shimohara: Evolution of the driving styles of anticipatory agent remotely operating a scaled model of racing car. 1891-1898
• 
  Evan J. Hughes: Checkers using a co-evolutionary on-line evolutionary algorithm. 1899-1905
• 
  Julian Togelius, Simon M. Lucas: Evolving controllers for simulated car racing. 1906-1913
• 
  Jay Bradley, Gillian Hayes: Group utility functions: learning equilibria between groups of agents in computer games by modifying the reinforcement signal. 1914-1921

Plenary Poster Session: Various Topics

• 
  Bart G. W. Craenen, A. E. Eiben: Hybrid evolutionary algorithms for constraint satisfaction problems: memetic overkill? 1922-1928
• 
  Cristina Boeres, Eyder Rios, Luiz Satoru Ochi: Hybrid evolutionary static scheduling for heterogeneous systems. 1929-1935
• 
  Yoel Tenne, Steven William Armfield: Efficiently minimizing expensive cost functions with a hybrid evolutionary algorithm using clustering and a derivative-free optimizer: preliminary results. 1937-1944
• 
  Dara Curran, Colm O'Riordan: Cultural learning and diversity in a changing environment. 1945-1950
• 
  Fernanda L. Minku, Teresa Bernarda Ludermir: Evolutionary strategies and genetic algorithms for dynamic parameter optimization of evolving fuzzy neural networks. 1951-1958
• 
  Dimitri P. Solomatine: Adaptive cluster covering and evolutionary approach: comparison, differences and similarities. 1959-1966
• 
  Carsten Wilks, Rolf Eckmiller: Optimization of an evolutionary algorithm for a tactile communication system. 1967-1973
• 
  Yoshiko Hanada, Tomoyuki Hiroyasu, Mitsunori Miki: An improvement of database with local search mechanisms for genetic algorithms in large-scale computing environments. 1974-1981
• 
  Reza Rastegar, Mohammad Reza Meybodi: A new estimation of distribution algorithm based on learning automata. 1982-1987
• 
  K. M. Ward, Mia Nazmul Haque Siddique, Liam P. Maguire, T. Martin McGinnity: A symbiosis algorithm for robotic control. 1988-1995
• 
  Xinchao Zhao, Hongliang Long: Multiple bit encoding-based search algorithms. 1996-2001
• 
  Tebogo Seipone, John A. Bullinaria: Evolving improved incremental learning schemes for neural network systems. 2002-2009
• 
  Chin Kuan Ho, Hong Tat Ewe: A hybrid ant colony optimization approach (hACO) for constructing load-balanced clusters. 2010-2017
• 
  Iván Dotú, Pascal Van Hentenryck: A simple hybrid evolutionary algorithm for finding Golomb rulers. 2018-2023
• 
  Madalina M. Drugan, Dirk Thierens: Recombinative EMCMC algorithms. 2024-2031
• 
  Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg: XCS with computed prediction in continuous multistep environments. 2032-2039
• 
  Toby O'Hara, Larry Bull: A memetic accuracy-based neural learning classifier system. 2040-2045
• 
  Toby O'Hara, Larry Bull: Building anticipations in an accuracy-based learning classifier system by use of an artificial neural network. 2046-2052
• 
  Cristiana Bolchini, Paolo Ferrandi, Pier Luca Lanzi, Fabio Salice: Toward an FPGA implementation of XCS. 2053-2060
• 
  Faten Kharbat, Larry Bull, Mohammed Odeh: Revisiting genetic selection in the XCS learning classifier system. 2061-2068
• 
  Anil Shankar, Sushil J. Louis: Learning classifier systems for user context learning. 2069-2075
• 
  Andy Tan, Chai Quek: Maximizing winning trades using a rough set based other-product (RSPOP) fuzzy neural network intelligent stock trading system. 2076-2083
• 
  An-Pin Chen, Yung-Hua Chang: Using extended classifier system to forecast S&P futures based on contrary sentiment indicators. 2084-2090
• 
  Yuji Sato, Ryutaro Kanno: Event-driven hybrid learning classifier systems for online soccer games. 2091-2098
• 
  Matthew Studley, Larry Bull: X-TCS: accuracy-based learning classifier system robotics. 2099-2106
• 
  Richard M. Downing: Evolving binary decision diagrams using implicit neutrality. 2107-2113
• 
  Jin Li, Xiaoli Li, Xin Yao: Cost-sensitive classification with genetic programming. 2114-2121
• 
  Daniel A. Ashlock, Kenneth Mark Bryden, Wendy Ashlock, Stephen P. Gent: Rapid training of thermal agents with single parent genetic programming. 2122-2129
• 
  Andrew R. McIntyre, Malcolm I. Heywood: Toward co-evolutionary training of a multi-class classifier. 2130-2137
• 
  Shinkyu Jeong, Shigeru Obayashi: Efficient global optimization (EGO) for multi-objective problem and data mining. 2138-2145
• 
  Kiyoharu Tagawa, Mikiyasu Masuoka, Masahiko Tsukamoto: Robust optimum design of SAW filters with the Taguchi method and a memetic algorithm. 2146-2153
• 
  Alexandra Melike Brintrup, Jeremy Ramsden, Ashutosh Tiwari: Integrated qualitativeness in design by multi-objective optimization and interactive evolutionary computation. 2154-2160
• 
  Lipo Wang, Lei Zhou, Wen Liu: FPGA segmented channel routing using genetic algorithms. 2161-2165
• 
  Robert E. Smith: An iterative mutual information histogram technique for linkage learning in evolutionary algorithms. 2166-2173
• 
  Anne Defaweux, Tom Lenaerts, Jano I. van Hemert, Johan Parent: Complexity transitions in evolutionary algorithms: evaluating the impact of the initial population. 2174-2181
• 
  Farzad Rastegar, Babak Nadjar Araabi, Caro Lucas: An evolutionary fuzzy modeling approach for ANFIS architecture. 2182-2189
• 
  Sami J. Habib, Buthainah Al-kazemi: Comparative study between the internal behavior of GA and PSO through problem-specific distance functions. 2190-2195
• 
  Giampaolo L. Libralao, Telma Woerle de Lima, Karen Honda, Alexandre C. B. Delbem: Node-depth encoding for directed graphs. 2196-2201
• 
  Brian T. Lam, Victor Ciesielski: Applying genetic programming to learn spatial differences between textures using a translation invariant representation. 2202-2209
• 
  Stefan Elfwing, Eiji Uchibe, Kenji Doya, Henrik I. Christensen: Biologically inspired embodied evolution of survival. 2210-2216

Evolutionary Multiobjective Optimization 5

• 
  Kumara Sastry, David E. Goldberg, Martin Pelikan: Limits of scalability of multiobjective estimation of distribution algorithms. 2217-2224
• 
  R. Lyndon While, Lucas Bradstreet, Luigi Barone, Philip Hingston: Heuristics for optimizing the calculation of hypervolume for multi-objective optimization problems. 2225-2232
• 
  Nasreddine Hallam, Peter Blanchfield, Graham Kendall: Handling diversity in evolutionary multiobjective optimization. 2233-2240
• 
  Christine L. Mumford: A hierarchical solve-and-merge framework for multi-objective optimization. 2241-2247

Hybridization

• 
  José E. Gallardo, Carlos Cotta, Antonio J. Fernández: A hybrid model of evolutionary algorithms and branch-and-bound for combinatorial optimization problems. 2248-2254
• 
  Elizabeth F. Wanner, Frederico G. Guimarães, Rodney R. Saldanha, Ricardo H. C. Takahashi, Peter J. Fleming: Constraint quadratic approximation operator for treating equality constraints with genetic algorithms. 2255-2262
• 
  Edmund K. Burke, Graham Kendall, Dario Landa Silva, Ross O'Brien, Eric Soubeiga: An ant algorithm hyperheuristic for the project presentation scheduling problem. 2263-2270
• 
  Matthew J. W. Morgan, Christine L. Mumford: Capacitated vehicle routing: perturbing the landscape to fool an algorithm. 2271-2277

Evolutionary Algorithms: General 1

• 
  Evelyne Lutton, Mario Pilz, Jacques Lévy Véhel: The fitness map scheme: application to interactive multifractal image denoising. 2278-2285
• 
  Man Leung Wong, Tien-Tsin Wong, Ka-Ling Fok: Parallel evolutionary algorithms on graphics processing unit. 2286-2293
• 
  Antonio López Jaimes, Carlos A. Coello Coello: MRMOGA: parallel evolutionary multiobjective optimization using multiple resolutions. 2294-2301
• 
  Mark Wineberg: The estimation of evolvability genetic algorithm. 2302-2309

Real World Applications 3

• 
  Frank W. Moore, Patrick Marshall, Eric J. Balster: Evolved transforms for image reconstruction. 2310-2316
• 
  Christopher C. Sotzing, Win Mar Htay, Clare Bates Congdon: GENCEM: a genetic algorithms approach to coordinated exploration and mapping with multiple autonomous robots. 2317-2324
• 
  Vijay Pratap Singh, Michel Leger, Marc Schoenauer: A geologically-sound representation for evolutionary multi-objective subsurface identification. 2325-2332
• 
  Kazuhisa Chiba, Shinkyu Jeong, Shigeru Obayashi, Hiroyuki Morino: Data mining for multidisciplinary design space of regional-jet wing. 2333-2340

Adaptation

• 
  Silja Meyer-Nieberg, Hans-Georg Beyer: On the analysis of self-adaptive recombination strategies: first results. 2341-2348
• 
  Lam Thu Bui, Hussein A. Abbass, Jürgen Branke: Multiobjective optimization for dynamic environments. 2349-2356
• 
  Kokolo Ikeda: Exemplar-based direct policy search with evolutionary optimization. 2357-2364
• 
  Katsuji Uosaki, Toshiharu Hatanaka: Evolution strategies based Gaussian sum particle filter for nonlinear state estimation. 2365-2371

Evolutionary Clustering

• 
  Julia Handl, Joshua D. Knowles: Improvements to the scalability of multiobjective clustering. 2372-2379
• 
  Victor J. Rayward-Smith: Metaheuristics for clustering in KDD. 2380-2387
• 
  Dimitris K. Tasoulis, Michael N. Vrahatis: The new window density function for efficient evolutionary unsupervised clustering. 2388-2394
• 
  Daniela Zaharie, Flavia Zamfirache: Dealing with noise in ant-based clustering. 2395-2401

Evolutionary Computation and Games 2

• 
  Ricardo Aler, Oscar Garcia, José María Valls: Correcting and improving imitation models of humans for Robosoccer agents. 2402-2409
• 
  Gary B. Parker, Timothy S. Doherty, Matt Parker: Evolution and prioritization of survival strategies for a simulated robot in Xpilot. 2410-2415
• 
  Gary B. Parker, Matt Parker, Steven D. Johnson: Evolving autonomous agent control in the Xpilot environment. 2416-2421
• 
  Ryan E. Leigh, Tony Morelli, Sushil J. Louis, Monica N. Nicolescu, Chris Miles: Finding attack strategies for predator swarms using genetic algorithms. 2422-2428

Evolutionary Algorithms in Finance and Economics 1

• 
  Whye Loon Tung, Chai Quek: GenSo-OPATS: a brain-inspired dynamically evolving option pricing model and arbitrage trading system. 2429-2436
• 
  Takashi Yamada, Kazuhiro Ueda: Explanation of binarized time series using genetic learning model of investor sentiment. 2437-2444
• 
  Floortje Alkemade, Han La Poutré, Hans M. Amman: On social learning and robust evolutionary algorithm design in economic games. 2445-2452
• 
  Javier Gil-Bazo, David Moreno, Mikel Tapia: What drives information dissemination in continuous double auction markets? 2453-2460

Evolvable Hardware

• 
  John C. Gallagher, Sanjay K. Boddhu, Saranyan Vigraham: A reconfigurable continuous time recurrent neural network for evolvable hardware applications. 2461-2468
• 
  Adrian Stoica, Xiao Wang, Didier Keymeulen, Ricardo Salem Zebulum, Michael I. Ferguson, Xin Guo: Circuit recovery under gamma ray radiation. 2469-2475
• 
  Robert Thomson, Tughrul Arslan: Techniques for the evolution of pipelined linear transforms. 2476-2482
• 
  Saranyan Vigraham, John C. Gallagher: A space saving digital VLSI evolutionary engine for CTRNN-EH devices. 2483-2490

Evolutionary Algorithms: General 2

• 
  Tian-Li Yu, Kumara Sastry, David E. Goldberg: Online population size adjusting using noise and substructural measurements. 2491-2498
• 
  Darren A. Casella, Walter D. Potter: Using evolutionary techniques to hunt for snakes and coils. 2499-2505
• 
  Michael R. Peterson, Michael L. Raymer, Gary B. Lamont: Balanced accuracy for feature subset selection with genetic algorithms. 2506-2513
• 
  Michael R. Peterson, Travis E. Doom, Michael L. Raymer: GA-facilitated KNN classifier optimization with varying similarity measures. 2514-2521

Genetic Programming

• 
  Xiang Li, Victor Ciesielski: An analysis of explicit loops in genetic programming. 2522-2529
• 
  David Jackson: Fitness evaluation avoidance in Boolean GP problems. 2530-2536
• 
  Robin Harper, Alan Blair: A structure preserving crossover in grammatical evolution. 2537-2544
• 
  Stuart W. Card, Chilukuri K. Mohan: Information theoretic indicators of fitness, relevant diversity & pairing potential in genetic programming. 2545-2552

Evolutionary Algorithms based on Probabilistic Models

• 
  Jörn Grahl, Stefan Minner, Franz Rothlauf: Behaviour of UMDA_c with truncation selection on monotonous functions. 2553-2559
• 
  Shengxiang Yang: Memory-enhanced univariate marginal distribution algorithms for dynamic optimization problems. 2560-2567
• 
  Aimin Zhou, Qingfu Zhang, Yaochu Jin, Edward P. K. Tsang, Tatsuya Okabe: A model-based evolutionary algorithm for bi-objective optimization. 2568-2575
• 
  Siddhartha Shakya, John A. W. McCall, Deryck F. Brown: Incorporating a Metropolis method in a distribution estimation using Markov random field algorithm. 2576-2583

Evolution Strategies and Evolutionary Programming

• 
  Ofer M. Shir, Thomas Bäck: Dynamic niching in evolution strategies with covariance matrix adaptation. 2584-2591
• 
  Dirk V. Arnold: Evolution strategies with adaptively rescaled mutation vectors. 2592-2599
• 
  Oliver Kramer, Chuan-Kang Ting, Hans Kleine Büning: A new mutation operator for evolution strategies for constrained problems. 2600-2606
• 
  Ben Washbrook, Jin Li: The application of evolutionary computation to the analysis of the profiles of elliptical galaxies: a maximum likelihood approach. 2607-2612

Evolutionary Computation and Games 3

• 
  Daniel A. Ashlock, Eun-Youn Kim: Techniques for analysis of evolved prisoner's dilemma strategies with fingerprints. 2613-2620
• 
  William B. Langdon, Riccardo Poli: Evolutionary Solo Pong players. 2621-2628
• 
  Chi Keong Goh, Hanyang Quek, Eu Jin Teoh, Kay Chen Tan: Evolution and incremental learning in the iterative prisoner's dilemma. 2629-2636
• 
  Hisao Ishibuchi, Naoki Namikawa: Evolution of cooperative behavior in the iterated prisoner's dilemma under random pairing in game playing. 2637-2644

Evolutionary Algorithms in Finance and Economics 2

• 
  Asunción Mochón, David Quintana, Yago Sáez, Pedro Isasi Viñuela: Analysis of Ausubel auctions by means of evolutionary computation. 2645-2652
• 
  Tuan Zea Tan, Chai Quek, Geok See Ng: Brain-inspired genetic complementary learning for stock market prediction. 2653-2660
• 
  Nanlin Jin: Equilibrium selection by co-evolution for bargaining problems under incomplete information about time preferences. 2661-2668
• 
  Philip Y. K. Cheng, M. I. Mah, Chai Quek: Predicting the impact of anticipatory action on US stock market - an event study using ANFIS (a neural fuzzy model). 2669-2676

Ant Systems, Collective Behaviour and Co-evolution

• 
  Phlip Tomson, Garrison W. Greenwood: Using ant colony optimization to find low energy atomic cluster structures. 2677-2682
• 
  Bernd Meyer: Constraint handling and stochastic ranking in ACO. 2683-2690
• 
  Vineet R. Khare, Xin Yao, Bernhard Sendhoff, Yaochu Jin, Heiko Wersing: Co-evolutionary modular neural networks for automatic problem decomposition. 2691-2698
• 
  Michail Maniadakis, Panos E. Trahanias: Distributed brain modelling by means of hierarchical collaborative coevolution. 2699-2706

Evoultionary Algorithms: General 3

• 
  Rodney Fry, Stephen L. Smith, Andy M. Tyrrell: A self-adaptive mate selection model for genetic programming. 2707-2714
• 
  Georgios N. Yannakakis, John Hallam, John Levine: Evolutionary computation variants for cooperative spatial coordination. 2715-2722
• 
  Adnan Acan, Ahmet Ünveren: Evolutionary multiobjective optimization with a segment based external memory support for the multiobjective quadratic assignment problem. 2723-2729
• 
  Mitchell A. Potter, R. Paul Wiegand, H. Joseph Blumenthal, Donald Sofge: Effects of experience bias when seeding with prior results. 2730-2737
•