CEC 2005: Edinburgh, UK

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
  
• Oscar Cordón, Sergio Damas, Jose Santamaría:
  A scatter search based optimizer for the registration of 3D surfaces. 2738-2744
  

Real World Applications 4

• W. H. Tang, Shan He, Emmanuel Prempain, Q. H. Wu, J. Fitch:
  A particle swarm optimiser with passive congregation approach to thermal modelling for power transformers. 2745-2751
  
• Yann Semet, Marc Schoenauer:
  An efficient memetic, permutation-based evolutionary algorithm for real-world train timetabling. 2752-2759
  
• Daniel A. Ashlock, Stephen P. Gent, Kenneth Mark Bryden:
  Evolution of L-systems for compact virtual landscape generation. 2760-2767
  
• Gregory R. Kramer, John C. Gallagher:
  An analysis of the search performance of a mini-population evolutionary algorithm for a robot-locomotion control problem. 2768-2775
  

Fitness Landscape Studies

• Daniel A. Ashlock, Justin Schonfeld:
  Nonlinear projection for the display of high dimensional distance data. 2776-2783
  
• Yossi Borenstein, Riccardo Poli:
  No free lunch, Kolmogorov complexity and the information landscape. 2784-2791
  
• Richard A. Watson, John Wakeley:
  Multidimensional epistasis and the advantage of sex. 2792-2799
  
• Elena Popovici, Kenneth A. De Jong:
  Relationships between internal and external metrics in co-evolution. 2800-2807
  

Dynamic and Uncertain Environments

• Rui Mendes, Arvind S. Mohais:
  DynDE: a differential evolution for dynamic optimization problems. 2808-2815
  
• Renato Tinós, Shengxiang Yang:
  Genetic algorithms with self-organized criticality for dynamic optimization problems. 2816-2823
  
• Hendrik Richter:
  A study of dynamic severity in chaotic fitness landscapes. 2824-2831
  
• Zongzhao Zhou, Yew-Soon Ong, My Hanh Nguyen, Dudy Lim:
  A study on polynomial regression and Gaussian process global surrogate model in hierarchical surrogate-assisted evolutionary algorithm. 2832-2839
  

Planning and Scheduling

• Krzysztof Rzadca, Franciszek Seredynski:
  Heterogeneous multiprocessor scheduling with differential evolution. 2840-2847
  
• Nhu Binh Ho, Joc Cing Tay:
  Evolving dispatching rules for solving the flexible job-shop problem. 2848-2855
  
• Rhydian Lewis, Ben Paechter:
  An empirical analysis of the grouping genetic algorithm: the timetabling case. 2856-2863
  
• Isamu Watanabe:
  An ACO algorithm for service restoration in power distribution systems. 2864-2871
  

Last update Sat May 18 01:25:21 2013 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page