Table of Contents

• GP-preprocessed fuzzy inference for the energy load predictionNaoyuki Kubota, Setsuo Hashimoto, Fumio Kojima, Kazuhiko Taniguchi. 1-6 [doi]
• Genetic algorithms and neuro-dynamic programming: application to water supply networksMiguel Damas, Moisés Salmerón, Antonio F. Díaz, J. Ortega, Alberto Prieto, Gonzalo Olivares. 7-14 [doi]
• Exploration of applying statistical process control strategies to simulated annealing optimization techniquesDan Wu, Linda C. Schmidt. 15-21 [doi]
• Hybridisation of neural networks and a genetic algorithm for friction compensationNachol Chaiyaratana, Ali M. S. Zalzala. 22-29 [doi]
• Handling preferences in evolutionary multiobjective optimization: a surveyCarlos A. C. Coello. 30-37 [doi]
• MOEA toolbox for computer aided multi-objective optimizationK. C. Tan, T. H. Lee, D. Khoo, E. F. Khor, R. S. Kannan. 38-45 [doi]
• A unified model for multi-objective evolutionary algorithms with elitismMarco Laumanns, Eckart Zitzler, Lothar Thiele. 46-53 [doi]
• Fuzzy autopilot design using a multiobjective evolutionary algorithmAnna L. Blumel, Evan J. Hughes, Brian A. White. 54-61 [doi]
• Reasons for premature convergence of self-adapting mutation ratesMatthew R. Glickman, Katia P. Sycara. 62-69 [doi]
• Topology and migration policy of fine-grained parallel evolutionary algorithms for numerical optimizationChi-Ho Lee, Sang Ho Park, Jong-Hwan Kim 0001. 70-76 [doi]
• Parameter control using the agent based patchwork modelThiemo Krink, Rasmus K. Ursem. 77-83 [doi]
• Comparing inertia weights and constriction factors in particle swarm optimizationRussell C. Eberhart, Yuhui Shi. 84-88 [doi]
• A genetic algorithm for the biconnectivity augmentation problemIvana D. Ljubic, Jozef J. Kratica. 89-96 [doi]
• Minimum cost 2-edge-connected Steiner graphs in rectilinear space: an evolutionary approachSadan Kulturel-Konak, Abdullah Konak, Alice E. Smith. 97-103 [doi]
• An efficient evolutionary algorithm for the degree-constrained minimum spanning tree problemGünther R. Raidl. 104-111 [doi]
• On the use of stochastic estimator learning automata for dynamic channel allocation in broadcast networksGeorgios I. Papadimitriou, Andreas S. Pomportsis. 112-116 [doi]
• A hybrid intelligent active force controller for robot arms using evolutionary neural networksS. B. Hussein, Hishamuddin Jamaluddin, Musa Mailah, A. M. S. Zalzala. 117-124 [doi]
• A cost term in an evolutionary robotics fitness functionTimothy E. Revello, Robert McCartney. 125-132 [doi]
• Online map building evolutionary algorithm for multi-agent mobile robots with odometric uncertaintyYong Jae Kim, Jong-Hwan Kim. 133-138 [doi]
• Evolutionary programming-based fuzzy logic path planner and follower for mobile robotsMoon-Su Lee, Myung-Jin Jung, Jong-Hwan Kim. 139-144 [doi]
• Observing the movement of GAs on neutral networksOliver Sharpe. 145-152 [doi]
• A weight evolution algorithm for finding the global minimum of error function in neural networksS. C. Ng, S. H. Leung. 153-157 [doi]
• Evolutionary construction of behavior arbitration mechanisms based on dynamically-rearranging neural networksH. Nakamura, A. Ishiguro, Y. Uchilkawa. 158-165 [doi]
• Evolving and assembling functional link networksJosé Antonio Macías, Alejandro Sierra, Fernando J. Corbacho. 166-171 [doi]
• A non-generational genetic algorithm for multiobjective optimizationCarlos Cristiano H. Borges, Helio J. C. Barbosa. 172-179 [doi]
• Fuzzy simulated evolution algorithm for topology design of campus networksHabib Youssef, Sadiw M. Sait, Salman A. Khan. 180-187 [doi]
• Distributed reinforcement learning for multiple objective optimization problemsCarlos Eduardo Mariano, Eduardo F. Morales 0001. 188-195 [doi]
• Evolutionary algorithms for nurse scheduling problemAhmad Jan, Masahito Yamamoto, Azuma Ohuchi. 196-203 [doi]
• On measuring multiobjective evolutionary algorithm performanceDavid A. van Veldhuizen, Gary B. Lamont. 204-211 [doi]
• Evolving strategies for active flow controlMichele Milano, Petros Koumoutsakos, Xavier Giannakopoulos, Jürgen Schmidhuber. 212-218 [doi]
• Reconstructing the shifting balance theory in a GA: taking Sewall Wright seriouslyFranz Oppacher, Mark Wineberg. 219-226 [doi]
• Simulating exponential normalization with weighted k-tournamentsBryant A. Julstrom, David H. Robinson. 227-231 [doi]
• A factorized distribution algorithm based on polytreesMarta Soto, Alberto Ochoa 0003. 232-237 [doi]
• Comparing local search with respect to genetic evolution to detect intrusions in computer networksF. Neri. 238-243 [doi]
• Network based parallel genetic algorithm using client-server modelKazunori Kojima, Wataru Kawamata, Hiroshi Matsuo, Masaaki Ishigame. 244-250 [doi]
• Evolving trajectory controller networks from linear approximation model networksYun Li, G. Chong. 251-255 [doi]
• Evolutionary artificial potential fields and their application in real time robot path planningPrahlad Vadakkepat, Kay Chen Tan, Ming-Liang Wang. 256-263 [doi]
• Performing classification with an environment manipulating mutable automata (EMMA)K. Benson. 264-271 [doi]
• A hierarchical distributed genetic algorithm for image segmentationHanchuan Peng, Fuhui Long, Zheru Chi, Wanchi Su. 272-276 [doi]
• Automated timetable generation for rounds of a table-tennis leagueJörn Schönberger, Dirk Christian Mattfeld, Herbert Kopfer. 277-284 [doi]
• Hybrid genetic algorithms for scheduling bus and train driversRaymond S. K. Kwan, Anthony Wren, Ann S. K. Kwan. 285-292 [doi]
• Genetic algorithms for multiobjective scheduling of combined batch/continuous process plantsK. J. Shaw, P. L. Lee, H. P. Nott, M. Thompson. 293-300 [doi]
• Effective heuristic and metaheuristic approaches to optimize component placement in printed circuit board assemblyEdmund K. Burke, Peter I. Cowling, Ralf Keuthen. 301-308 [doi]
• A multiobjective evolutionary setting for feature selection and a commonality-based crossover operatorChristos Emmanouilidis, Andrew Hunter, John MacIntyre. 309-316 [doi]
• A multiobjective genetic algorithm for radio network optimizationHervé Meunier, El-Ghazali Talbi, Philippe Reininger. 317-324 [doi]
• M-PAES: a memetic algorithm for multiobjective optimizationJoshua D. Knowles, David W. Corne. 325-332 [doi]
• The new model of parallel genetic algorithm in multi-objective optimization problems - divided range multi-objective genetic algorithmT. Hiroyasu, M. Miki, S. Watanabe. 333-340 [doi]
• Introducing performance landscapes and a generic framework for evolutionary search algorithmsO. Sharpe. 341-348 [doi]
• Partial functions in fitness-shared genetic programmingR. I. McKay. 349-356 [doi]
• Tri-phase performance profile of evolutionary search on uni- and multi-modal search spacesMartin J. Oates, David W. Corne, Roger J. Loader. 357-364 [doi]
• Optimizing the efficiency of parameterized local search within global search: a preliminary studyEckart Zitzler, Jürgen Teich, Shuvra S. Bhattacharyya. 365-372 [doi]
• A genetic approach to ARMA filter synthesis for EEG signal simulationC. Janeczko, H. S. Lopes. 373-378 [doi]
• Genetic learning of multi-attribute interactions in speaker verificationT. Pham. 379-383 [doi]
• Phyletic evolution of neural feature detectorsPeter R. W. Harvey, James F. Boyce. 384-391 [doi]
• Accelerating multi-objective control system design using a neuro-genetic approachN. M. Duarte, António E. B. Ruano, Carlos M. Fonseca, Peter J. Fleming. 392-397 [doi]
• Modeling of a winding machine using genetic programmingA. Hussian, A. Sheta, M. Kamel, M. Telbaney, A. Abdelwahab. 398-402 [doi]
• Robust nonlinear control design using competitive coevolutionJean-Michel Claverie, Kenneth De Jong, Alaa F. Sheta. 403-409 [doi]
• Parameter estimation of a bioreaction model by hybrid differential evolutionFeng-Sheng Wang, Horng-Jhy Jang. 410-417 [doi]
• Genetic estimation of competitive agents behaviorA. M. Florea. 418-423 [doi]
• Conversational system based on evolutionary agentsTrandafir Moisa, Adrian Horia Dediu, Dan Ontanu. 424-430 [doi]
• Genetic algorithms and intrinsic parallel characteristicsValentin Cristea, Gavril Godza. 431-436 [doi]
• Mirroring the theory of genetics and evolution in biology in a way that perspectives may be revealed to further develop agents technologyH. A. C. T. Thij. 437-441 [doi]
• Classification of epidemiological data: a comparison of genetic algorithm and decision tree approachesClare Bates Congdon. 442-449 [doi]
• An evolutionary system for automatic explicit rule extractionIvanoe De Falco, Aniello Iazzetta, Ernesto Tarantino, Antonio Della Cioppa. 450-457 [doi]
• An extended genetic rule induction algorithmJ. Juan Liu, J. Tin-Yau Kwok. 458-463 [doi]
• Evolvable cellular classifiersHoon Kang. 464-470 [doi]
• Fuzzy genes: improving the effectiveness of information retrievalMaría J. Martín-Bautista, M. Amparo Vila, Daniel Sánchez 0001, Henrik Legind Larsen. 471-478 [doi]
• Using multiple representations in evolutionary algorithmsT. Schnier, Xin Yao. 479-486 [doi]
• Why the schema theorem is correct also in the presence of stochastic effectsR. Poli. 487-492 [doi]
• An investigation of redundant genotype-phenotype mappings and their role in evolutionary searchMark Shackleton, R. Shipma, Marc Ebner. 493-500 [doi]
• A new constraint tournament selection method for multicriteria optimization using genetic algorithmO. Andrzej, K. Stanislaw. 501-508 [doi]
• Nash genetic algorithms: examples and applicationsM. Sefrioui, J. Perlaux. 509-516 [doi]
• Multiobjective optimization of heat transfer plant using decision table controller and genetic algorithmD. Grundler. 517-521 [doi]
• Comparison between interactive (subjective) and traditional (numerical) inversion by genetic algorithmsFabio Boschetti, Louis Moresi. 522-528 [doi]
• The design process of an evolutionary oriented reconfigurable architectureRicardo Salem Zebulum, Adrian Stoica, Didier Keymeulen. 529-536 [doi]
• Results on the fitness and population based fault tolerant approaches using a reconfigurable electronic deviceDidier Keymeulen, Adrian Stoica, Ricardo Salem Zebulum, Vu Duong. 537-544 [doi]
• GA-based kernel optimization for pattern recognition: theory for EHW applicationMoritoshi Yasunaga, Taro Nakamura, Ikuo Yoshihara, Jung H. Kim. 545-552 [doi]
• An evolvable hardware FPGA for adaptive hardwarePauline C. Haddow, Gunnar Tufte. 553-560 [doi]
• Subsystem and interconnection strategies for intrinsic evolution of analogue hardwareKevin Sheehan, Stuart J. Flockton. 561-566 [doi]
• GA/SA-based hybrid techniques for the scheduling of generator maintenance in power systemsKeshav P. Dahal, Graeme M. Burt, Jim R. McDonald, Stuart J. Galloway. 567-574 [doi]
• FIR filter design: frequency-sampling method based on evolutionary programmingX. P. Chen, S. L. Yu. 575-579 [doi]
• The optimization of number of kanbans with genetic algorithms, simulated annealing and tabu searchC. Alabas, Fulya Altiparmak, Berna Dengiz. 580-585 [doi]
• A genetic algorithm for over-the-cell and channel area optimizationB. M. Goni, T. Arslan, B. Turton. 586-592 [doi]
• Plant scheduling and planning using mixed-integer hybrid differential evolution with multiplier updatingYung-Chien Lin, Kao-Shing Hwang, Feng-Sheng Wang. 593-600 [doi]
• A novel genetic algorithm for the automated design of performance driven digital circuitsBen I. Hounsell, Tughrul Arslan. 601-608 [doi]
• Analog fault diagnosis in nonlinear DC circuits with an evolutionary algorithmJosé A. Soares Augusto, Carlos F. Beltrán Almeida. 609-616 [doi]
• Evolving similarity coefficients for the solution of cellular manufacturing problemsC. Dimopoulos, N. Mort. 617-624 [doi]
• Memetic algorithms and the molecular geometry optimization problemR. J. W. Hodgson. 625-632 [doi]
• Searching the forest: using decision trees as building blocks for evolutionary search in classification databasesS. E. Rouwhorst, A. P. Engelbrecht. 633-638 [doi]
• Evolving rules from neural networks trained on continuous dataEd Keedwell, Ajit Narayanan, Dragan A. Savic. 639-645 [doi]
• GA with fuzzy inference systemRadomil Matousek, Pavel Osmera, Jan Roupec. 646-651 [doi]
• Second-order multilayer perceptrons and its optimization with genetic algorithmsMin Woong Hwang, Mun Hyuk Kim, Jin-Young Choi. 652-658 [doi]
• Evolving neural networks in environments with delayed rewards by a real-coded GA using the unimodal normal distribution crossoverI. Ono, M. Takahashi, N. Ono. 659-666 [doi]
• A neural network-based image retrieval using nonlinear combination of heterogeneous featuresH. K. Lee, S. I. Yoo. 667-674 [doi]
• Gate-level synthesis of Boolean functions using binary multiplexers and genetic programmingArturo Hernández Aguirre, Bill P. Buckles, Carlos A. Coello Coello. 675-682 [doi]
• Designing fuzzy logic controllers by genetic algorithms considering their characteristicsSeihwan Park, Hyung Lee-Kwang. 683-690 [doi]
• Myoelectric signal classification using evolutionary hybrid RBF-MLP networksAli M. S. Zalzala, Nachol Chaiyaratana. 691-698 [doi]
• A novel hybrid evolutionary programming method for function optimizationAnjan Kumar Swain, Alan S. Morris. 699-705 [doi]
• Data crawlers for simple optical character recognitionDan Ashlock. 706-713 [doi]
• Music composition using genetic evolutionary algorithmsM. Marques, V. Oliveira, S. Vieira, A. C. Rosa. 714-719 [doi]
• Too busy to learn [individual learning interaction with evolutionary algorithm in Busy Beaver problem]Francisco Baptista Pereira, Penousal Machado, Ernesto Costa, Amílcar Cardoso, Alberto Ochoa-Rodríguez, Roberto Santana, Marta Soto. 720-727 [doi]
• Test-case generator TCG-2 for nonlinear parameter optimisationM. Schmidt, Z. Michalewicz. 728-735 [doi]
• Why people play: artificial lives acquiring play-instinct to stabilize productivityShinichi Tamura, Shoji Inabayashi, Waichi Hayakawa, Takahiro Yokouchi. 736-740 [doi]
• Playing the Rock-Paper-Scissors game with a genetic algorithmF. F. Ali, Zensho Nakao, Yen-Wei Chen 0001. 741-745 [doi]
• Regrasping behavior and object transition generated by EPY. Hasegawa, J. Matsuno, T. Fukuda. 746-752 [doi]
• Evolving a virtual ecosystem with genetic algorithmsJ. S. Eccles, J. A. Dickerson, Junqing Shao. 753-760 [doi]
• Automated simulation of non-linear dynamical systems with a Lotka-Volterra population based approachO. Castillo, P. Melin. 761-768 [doi]
• A general learning co-evolution method to generalize autonomous robot navigation behaviorAntonio Berlanga, A. Sanchis, P. Isasi, J. M. Molina. 769-776 [doi]
• An extensive PBIL algorithm with multiple traits and its applicationZhenya He, Chengjian Wei, Yifeng Zhang, Luxi Yang. 777-782 [doi]
• Asynchronous parallelization of Guo's algorithm for function optimizationLishan Kang, Zhuo Kang, Yan Li, Pu Liu, Yuping Chen. 783-789 [doi]
• Evolutionary algorithm with a novel insertion operator for optimising noisy functionsE. J. Hughes. 790-797 [doi]
• Evolutionary computation techniques for behaviour fusion in autonomous mobile robotsH. Martinez, A. Gomez-Skarmeta, F. Jimenez, M. Zamora. 798-804 [doi]
• Discovering comprehensible classification rules with a genetic algorithmM. V. Fidelis, H. S. Lopes, A. A. Freitas. 805-810 [doi]
• An object model for search spaces and their transformationsIves Landrieu, Bart Naudts. 811-816 [doi]
• Multi-population adaptive-gathering evolutionary algorithm in function optimizationSi-Duo Chen, Zhangcan Huang. 817-821 [doi]
• Pattern recognition using genetic algorithmS. Auwatanamongkol. 822-828 [doi]
• Evolutionary computation techniques for multiple sequence alignmentLiming Cai, David Juedes, Evgueni Liakhovitch. 829-835 [doi]
• Applying evolutionary computation to understanding the insertion behavior of LINE-1 retrotransposons in human DNAAndrew Meade, David Corne, Richard Sibly. 836-843 [doi]
• Optimization of a dolphin hearing model to relative sensitivity and frequency discrimination through simple aggregate selectionDorian S. Houser, David A. Helweg, Patrick W. B. Moore. 844-850 [doi]
• How to evolve a Napoleon complexWinfried Just, Mingyu Wu, Jeff P. Holt. 851-856 [doi]
• Anaconda defeats Hoyle 6-0: a case study competing an evolved checkers program against commercially available softwareKumar Chellapilla, David B. Fogel. 857-863 [doi]
• Benefits of clustering among the Internet search agents caught in the n-person prisoner's dilemma gameJae C. Oh. 864-871 [doi]
• Computationally intensive and noisy tasks: co-evolutionary learning and temporal difference learning on BackgammonPaul J. Darwen. 872-879 [doi]
• A game-theoretic investigation of selection methods used in evolutionary algorithmsSevan G. Ficici, Ofer Melnik, Jordan B. Pollack. 880-887 [doi]
• Evolving schedule graphs for the vehicle routing problem with time windowsHasan Timucin Ozdemir, Chilukuri K. Mohan. 888-895 [doi]
• Alternative flight route generator by genetic algorithmsSofiane Oussedik, Daniel Delahaye, Marc Schoenauer. 896-901 [doi]
• Resolution of quadratic assignment problems using an evolutionary algorithmJorng-Tzong Horng, Chien Chin Chen, Baw-Jhiune Liu, Cheng-Yen Kao. 902-909 [doi]
• A genetic algorithm for the orienteering problemMehmet Fatih Tasgetiren, Alice E. Smith. 910-915 [doi]
• Representation, mutation and crossover issues in evolutionary computationRobert Hinterding. 916-923 [doi]
• Optimization is easy and learning is hard in the typical functionThomas M. English. 924-931 [doi]
• Modeling epistatic interactions in fitness landscapesXiaobo Hu 0001, Garrison W. Greenwood, S. Ravichandran. 932-937 [doi]
• Convergence properties of incremental Bayesian evolutionary algorithms with single Markov chainsByoung-Tak Zhang, Gerhard Paass, Heinz Mühlenbein. 938-945 [doi]
• Emergent coordination for distributed information managementSteven J. Lynden, Omer Farooq Rana, Steve Margetts, Antonia J. Jones. 946-950 [doi]
• A Distributed Resource Evolutionary Algorithm Machine (DREAM)Ben Paechter, Thomas Bäck, Marc Schoenauer, Michèle Sebag, Ágoston E. Eiben, Juan Julián Merelo, Terence C. Fogarty. 951-958 [doi]
• Integrating economics and genetics models in information ecosystemsR. E. Smith, Claudio Bonacine, Paul Kearney, Torsten Eymann. 959-966 [doi]
• Evolving difference equations to model freshwater phytoplanktonPeter A. Whigham, Friedrich Recknagel. 967-973 [doi]
• Comparative study for optimisation of causal IIR perfect reconstruction filter banksGurvinder S. Baicher, B. C. H. Turton. 974-977 [doi]
• A robust evolutionary algorithm for optical thin-film designsJinn-Moon Yang, Cheng-Yen Kao. 978-985 [doi]
• An incremental-approximate-clustering approach for developing dynamic reduced models for design optimizationKhaled Rasheed. 986-993 [doi]
• Analog circuit design with a variable length chromosomeShin Ando, Hitoshi Iba. 994-1001 [doi]
• Dynamics of a distance-based population diversity measureAllen L. Barker, Worthy N. Martin. 1002-1009 [doi]
• Convergence properties of some multi-objective evolutionary algorithmsGünter Rudolph, Alexandru Agapie. 1010-1016 [doi]
• Size of neighborhood more important than temperature for stochastic local searchHeinz Mühlenbein, Jörg Zimmermann 0001. 1017-1024 [doi]
• Triggered hypermutation revisitedRonald W. Morrison, Kenneth A. De Jong. 1025-1032 [doi]
• Concentration, capacity and market power in an evolutionary labor marketLeigh Tesfatsion. 1033-1040 [doi]
• Concentration and capacity effects on electricity market powerJames Nicolaisen, Matt Smith, Valentin Petrov, Leigh Tesfatsion. 1041-1047 [doi]
• Electricity market power: marginal cost and relative capacity effectsDerek Lane, Alexei Kroujiline, Valentin Petrov, Gerald B. Sheblé. 1048-1055 [doi]
• Misleading functions designed from alternationPhilippe Collard, Manuel Clergue, Francis Bonnin. 1056-1063 [doi]
• Experimental validations of the learnable evolution modelGuido Cervone, K. K. Kaufman, Ryszard S. Michalski. 1064-1071 [doi]
• Symmetry in the search spaceClarissa Van Hoyweghen, Bart Naudts. 1072-1078 [doi]
• On the genetic adaptation of stochastic learning automataMark N. Howell, Timothy J. Gordon. 1079-1086 [doi]
• Precast production scheduling with genetic algorithmsW. T. Chan, H. Hu. 1087-1094 [doi]
• Jitter reduction in a real-time message transmission system using genetic algorithmsJorge Barreiros, Ernesto Costa, José Fonseca, Fernanda Coutinho. 1095-1101 [doi]
• Evolutionary time-frequency analysisA. R. Ferreira da Silva. 1102-1109 [doi]
• A GA perspective of the energy requirements for manipulators maneuvering in a workspace with obstaclesE. J. Solteiro Pires, J. A. Tenreiro Machado. 1110-1116 [doi]
• Effects of hierarchical migration in a parallel distributed parameter-free GAH. Sawai, S. Adachi. 1117-1124 [doi]
• Dynamic rotation and partial visibilityKarsten Weicker, Nicole Weicker. 1125-1131 [doi]
• Dynamic distributed genetic algorithmsWeilie Yi, Qizhen Liu, Yongbao He. 1132-1136 [doi]
• Parallel genetic algorithms with a continuity operator that allows for knowledge inclusionB. de Andres y Toro, Jose M. Giron-Sierra, Pablo Fernández-Blanco, Jesús Manuel de la Cruz, José Antonio López Orozco. 1137-1143 [doi]
• The evolution of an artificial compound eye by using adaptive hardwareLukas Lichtensteiger, Ralf Salomon. 1144-1151 [doi]
• Modeling the spread of antibiotic resistanceJennifer S. Hallinan, Janet Wiles. 1152-1159 [doi]
• Iterated function system fractals for the detection and display of DNA reading frameDan Ashlock, James B. Golden III. 1160-1167 [doi]
• Applying Fuzzy CoCo to breast cancer diagnosisCarlos A. Peña-Reyes, Moshe Sipper. 1168-1175 [doi]
• The need for improving the exploration operators for constrained optimization problemsS. B. Hamida, Alain Pétrowski. 1176-1183 [doi]
• A new fitness function for discovering a lot of satisfiable solutions in constraint satisfaction problemsH. Handa, O. Katai, T. Konishi, M. Baba. 1184-1189 [doi]
• Ant colonies are good at solving constraint satisfaction problemsLuk Schoofs, Bart Naudts. 1190-1195 [doi]
• Using genetic algorithms with sexual or asexual transposition: a comparative studyA. Simoes, E. Costa. 1196-1203 [doi]
• Revisiting Bremermann's genetic algorithm. I. Simultaneous mutation of all parametersDavid B. Fogel, Russel W. Anderson. 1204-1209 [doi]
• Applying Fogel and Burgin's 'Competitive goal-seeking through evolutionary programming' to coordination, trust, and bargaining gamesDavid B. Fogel. 1210-1216 [doi]
• Running races with Fraser's recombinationDavid B. Fogel, A. S. Fraser. 1217-1222 [doi]
• A pure finite state baseline for TartarusDan Ashlock, J. Freeman. 1223-1230 [doi]
• Evolving pet robot with emotional modelNaoyuki Kubota, Yusuke Nojima, Norio Baba, Fumio Kojima, Toshio Fukuda. 1231-1237 [doi]
• An extended virtual force field based behavioral fusion with neural networks and evolutionary programming for mobile robot navigationKwang-Young Im, Se-Young Oh. 1238-1244 [doi]
• Cultural algorithms: concepts and experimentsBenjamin Franklin, Marcel Bergerman. 1245-1251 [doi]
• A framework of fuzzy modeling using genetic algorithms with appropriate combination of evaluation criteriaToshihiro Suzuki, Takeshi Furuhashi, Hiroaki Tsutsui. 1252-1259 [doi]
• Information integration and red queen dynamics in coevolutionary optimizationLudo Pagie, Paulien Hogeweg. 1260-1267 [doi]
• Exploiting coalition in co-evolutionary learningYeon-Gyu Seo, Sung-Bae Cho, Xin Yao 0001. 1268-1275 [doi]
• Modeling and convergence analysis of distributed co-evolutionary algorithmsRaj Subbu, Arthur C. Sanderson. 1276-1283 [doi]
• Co-evolutionary dynamics on a deformable landscapeMarc Ebner, Richard A. Watson, Jason Alexander. 1284-1291 [doi]
• Multipopulation genetic programming applied to burn diagnosingFrancisco Fernández de Vega, L. M. Roa, Marco Tomassini, J. M. Sánchez. 1292-1296 [doi]
• Evolution of mesh refinement rules for impact dynamicsD. Howard, S. C. Roberts. 1297-1303 [doi]
• Genetic algorithm portfoliosA. S. Fukunaga. 1304-1311 [doi]
• An evolutionary approach to support Web page designM. Fuchs. 1312-1319 [doi]
• Evolutionary intelligent agentsP. Cristea, A. Arsene, B. Nitulescu. 1320-1328 [doi]
• How adaptive agents learn to deal with incomplete queries in distributed information environmentsF. B. Pereira, E. Costa. 1329-1336 [doi]
• Evolutionary algorithm for multiresolutional conceptual learningA. Meystel. 1337-1344 [doi]
• MyEnglishTeacher-an evolutionary Web-based, multi-agent environment for academic English teachingAlexandra Ioana Cristea, T. Okamoto, Paul Cristea. 1345-1353 [doi]
• Genetic quantum algorithm and its application to combinatorial optimization problemKuk-Hyun Han, Jong-Hwan Kim 0001. 1354-1360 [doi]
• Expressing evolutionary computation, genetic programming, artificial life, autonomous agents and DNA-based computing in -calculus-revised versionE. Eberbach. 1361-1368 [doi]
• Computational living systems based on an abstract chemical systemY. Suzuki, H. Tanaka. 1369-1376 [doi]
• Genetic symbiosis algorithmKotaro Hirasawa, Y. Ishikawa, Jinglu Hu, J. Murata, Jiangming Mao. 1377-1384 [doi]
• Exploratory data modeling with Bayesian-driven evolutionary searchJie Cheng, Gintaras V. Puskorius, Yi Lu. 1385-1392 [doi]
• Generalisation and domain specific functions in genetic programmingI. Kuscu. 1393-1400 [doi]
• Exploiting the Selfish Gene algorithm for evolving hardware cellular automataFulvio Corno, M. Sonza Reorda, Giovanni Squillero. 1401-1406 [doi]
• Abstract program evaluation and its application to sorter evolutionLorenz Huelsbergen. 1407-1414 [doi]
• Evolutionary computation with extinction: experiments and analysisGary B. Fogel, Garrison W. Greenwood, Kumar Chellapilla. 1415-1420 [doi]
• Equifinality versus evolutionary fragility: the role of collective weak interactionsL. Gwenn Volkert, Michael Conrad. 1421-1428 [doi]
• ClaDia: a fuzzy classifier system for disease diagnosisD. Walter, C. K. Mohan. 1429-1435 [doi]
• Application of a new evolutionary programming/adaptive boosting hybrid to breast cancer diagnosisWalter H. Land Jr., Timothy Masters, Joseph Y. Lo. 1436-1442 [doi]
• Evolutionary optimised ontogenetic neural networks with incremental problem complexity during developmentBernhard Sendhoff. 1443-1450 [doi]
• Bayesian evolutionary algorithms for evolving neural tree models of time series dataDong-Yeon Cho, Byoung-Tak Zhang. 1451-1458 [doi]
• Genetic programming polynomial models of financial data seriesH. Iba, N. Nikolaev. 1459-1466 [doi]
• Evolutionary neural networks for time series prediction based on L-system and DNA coding methodKi-Youl Lee, Dong-Wook Lee, Kwee-Bo Sim. 1467-1474 [doi]
• GP-based modeling method for time series prediction with parameter optimization and node alternationIkuo Yoshihara, Tomoo Aoyama, Moritoshi Yasunaga. 1475-1481 [doi]
• Assessing the performance of cultural algorithms for semantic network re-engineeringNestor Rychtyckyj, Robert G. Reynolds. 1482-1491 [doi]
• Agent based customer modelling: individuals who learn from their environmentD. Collings, A. A. Reeder, I. Adjali, P. Crocker, M. H. Lyons. 1492-1497 [doi]
• Mining knowledge in large scale databases using cultural algorithms with constraint handling mechanismsXidong Jin, Robert G. Reynolds. 1498-1506 [doi]
• Stereotyping: improving particle swarm performance with cluster analysisJ. Kennedy. 1507-1512 [doi]
• Cultural algorithms in dynamic environmentsS. Saleem, R. Reynolds. 1513-1520 [doi]
• Multi-criteria search and optimization: an application to X-ray plasma spectroscopyIgor E. Golovkin, Roberto C. Mancini, Sushil J. Louis, R. W. Lee, L. Klein. 1521-1527 [doi]
• Evolutionary tuning of neural networks for gesture recognitionR. Salomon, J. Weissmann. 1528-1534 [doi]
• Towards automatic image enhancement using genetic algorithmsC. Munteanu, A. Rosa. 1535-1542 [doi]
• Evolving finite state machines with embedded genetic programming for automatic target detectionK. Benson. 1543-1549 [doi]
• COSEARCH: a co-evolutionary metaheuristicVincent Bachelet, El-Ghazil Talbi. 1550-1557 [doi]
• Training neurocontrollers by local and evolutionary searchK. W. C. Ku, M. W. Mak. 1558-1564 [doi]
• A replicator equations-based evolutionary algorithm for the maximum clique problemC. Rossi. 1565-1570 [doi]
• Solving constraint satisfaction problems with heuristic-based evolutionary algorithmsBart G. W. Craenen, A. E. Eiben, Elena Marchiori. 1571-1577 [doi]