Table of Contents

• Enhancing the GA s Ability to Cope with Dynamic EnvironmentsMark Wineberg, Franz Oppacher. 3-10
• An Empirical Investigation of Optimization in Dynamic Environments Using the Cellular Genetic AlgorithmMichael Kirley, David G. Green. 11-18
• Multinational GAs: Multimodal Optimization Techniques in Dynamic EnvironmentsRasmus K. Ursem. 19-26
• Evolving Molecules for Drug Design Using Genetic Algorithms via Molecular TreesGerard Kian-Meng Goh, James A. Foster. 27-33
• Introducing a Genetic Generalization Pressure to the Anticipatory Classifier System - Part 1: Theoretical approachMartin Butz, David E. Goldberg, Wolfgang Stolzmann. 42-49
• Specifying Action Persistence within XCSAlwyn Barry. 50-57
• Distributed Steady-State Neuro-Evolutionary Path Planning in Non-Stationary Environments Using Adaptive ReplacementGerry V. Dozier. 58-65
• A Note on Learning and Evolution in Neural NetworksBrian Carse, Johan Oreland. 66-73
• A Comparative Study of Gen-Duplicated GAs Based on PfGA and SSGAHidefumi Sawai, Susumu Adachi. 74-81
• Phlegmatic Mappings for Function Optimization with Genetic AlgorithmsSteve Margetts, Antonia J. Jones. 82-89
• A new GA-Local Search Hybrid for Continuous Optimization Based on Multi-Level Single Linkage ClusteringGregory Seront, Hugues Bersini. 90-95
• A Variable Radius Niching Technique for Speciation in Genetic AlgorithmsJustin Gan, Kevin Warwick. 96-103
• Intelligent Recombination Using Individual Learning in a Collective Learning Genetic AlgorithmTerry P. Riopka, Peter Bock. 104-111
• Recombination Without Respect: Schema Combination and Disruption in Genetic Algorithm GrossoverRichard A. Watson, Jordan B. Pollack. 112-119
• Crossover in Probability SpacesSiddhartha Bhattacharyya, Marvin D. Troutt. 120-127
• Solving CSPs using self-adaptive constraint weights: how to prevent EAs from cheatingA. E. Eiben, B. Jansen, Zbigniew Michalewicz, Ben Paechter. 128-134
• A Hybrid Genetic Algorithm for the Quadratic Assignment ProblemManuel Vázquez, L. Darrell Whitley. 135-142
• An Improved Adaptive Multi-Start Approach to Finding Near-Optimal Solutions to the Euclidean TSPDan Bonachea, Eugene Ingerman, Joshua Levy, Scott McPeak. 143-150
• Time Complexity of genetic algorithms on exponentially scaled problemsFernando G. Lobo, David E. Goldberg, Martin Pelikan. 151-158
• A Hybrid Genetic Algorithm for Multiway Graph PartitioningSo-Jin Kang, Byung Ro Moon. 159-166
• A Hybrid Genetic Search for Graph Partitioning Based on Lock GainYong-Hyuk Kim, Byung Ro Moon. 167-174
• Improving EAs for Sequencing ProblemsWolfgang Günther, Rolf Drechsler. 175-180
• OMEGA - Ordering Messy GA: Solving Permutation Problems with the Fast Genetic Algorithm and Random KeysDimitri Knjazew, David E. Goldberg. 181-188
• A Non-Linear Schema Theorem for Genetic AlgorithmsWilliam A. Greene. 189-194
• Linguistic Rule Extraction by Genetics-Based Machine LearningHisao Ishibuchi, Tomoharu Nakashima. 195-202
• A Genetic Algorithm for Automatically Designing Modular Reinforcement Learning AgentsIsao Ono, Tetsuo Nijo, Norihiko Ono. 203-210
• Sampling Bias and Search Space Boundary Extension in Real Coded Genetic AlgorithmsShigeyoshi Tsutsui. 211-218
• A Real-Coded Genetic Algorithm using Distance Dependent Alternation Model for Complex Function OptimizationOsamu Takahashi, Hajime Kita, Shigenobu Kobayashi. 219-226
• Evolution Strategies for a Parallel Multi-Objective Genetic AlgorithmRicardo Szmit, Amnon Barak. 227-234
• Modeling GA Performance for Control Parameter OptimizationVincent A. Cicirello, Stephen F. Smith. 235-242
• Genetic Algorithms for Component AnalysisAdelino R. Ferreira da Silva. 243-250
• Efficient Numerical Optimization Algorithm Based on Genetic Algorithm for Inverse ProblemDaisuke Tominaga, Nobuto Koga, Masahiro Okamoto. 251-258
• Adaptive Wavelet Transform for Lossless Compression using Genetic AlgorithmYasuo Takehisa, Hidenori Sakanashi, Tetsuya Higuchi. 259-266
• Hierarchical Problem Solving and the Bayesian Optimization AlgorithmMartin Pelikan, David E. Goldberg. 267-274
• Bayesian Optimization Algorithm, Population Sizing, and Time to ConvergenceMartin Pelikan, David E. Goldberg, Erick Cantú-Paz. 275-282
• The Effects of Locality on the Dynamics of Decoder-Based Evolutionary SearchJens Gottlieb, Günther R. Raidl. 283-290
• A Genetic Algorithm with Tabu Search for Multimodal and Multiobjective Function OptimizationSetsuya Kurahashi, Takao Terano. 291-298
• Cellular Genetic Local Search for Multi-Objective OptimizationTadahiko Murata, Hisao Ishibuchi, Mitsuo Gen. 307-314
• Optimal Mutation Rates and Selection Pressure in Genetic AlgorithmsGabriela Ochoa, Inman Harvey, Hilary Buxton. 315-322
• Using Genetic Algorithms with Asexual TranspositionAnabela Simões, Ernesto Costa. 323-330
• Performances s study on crossover operators keeping good schemata for some scheduling problemsMarie-Claude Portmann, Antony Vignier. 331-338
• A Tri-Phase Multimodal Evolutionary Search Performance Profile on the Hierarchical If and Only If ProblemMartin J. Oates, David Corne, Roger Loader. 339-346
• Enhancing the Performance of a GA through VisualizationEmma Hart, Peter Ross. 347-354
• Bad Codings and the Utility of Well-Designed Genetic AlgorithmsFranz Rothlauf, David E. Goldberg, Armin Heinzl. 355-364
• Symmetrical Building Blocks and the Simple Inversion OperatorCristian Munteanu, Agostinho C. Rosa. 365
• A Diversity Control Oriented Genetic Algorithm (DCGA): Performance in Function OptimizationHisashi Shimodaira. 366
• GA Hard ProblemsBart Rylander, James A. Foster. 367
• Initial Results with Coevolving Dominance MappingJosiah Poon. 368
• Specialized Hardware for Implementation of Evolutionary AlgorithmsTobias Schubert, Elke Mackensen, Nicole Drechsler, Rolf Drechsler, Bernd Becker. 369
• Parameter-less Genetic Algorithm: A Worst-case Time and Space Complexity AnalysisMartin Pelikan, Fernando G. Lobo. 370
• Practical Modeling of Simple Genetic Algorithm, via deterministic paths, by Absorbing Markov ChainsPedro D. Cuesta, Jesús C. Abderramán, José A. Jiménez, Gabriel Winter. 371
• Independent Sampling Genetic Algorithms and the ApplicationsChien-Feng Huang. 372
• Quantum Genetic AlgorithmsBart Rylander, Terence Soule, James A. Foster, Jim Alves-Foss. 373
• Synergy of Multiple Crossover Operators in Genetic AlgorithmHyun-Sook Yoon, Byung Ro Moon. 374
• A Genetic Algorithm for Physical Mapping ProblemsHuai-Kuang Tsai, Cheng-Yan Kao, Jinn-Moon Yang. 375
• A Parallel Genetic Algorithm with Distributed Environment SchemeMitsunori Miki, Tomoyuki Hiroyasu, Mika Kaneko. 376
• Efficient clustering with a self-adaptive genetic algorithmJuha Kivijärvi, Pasi Fränti, Olli Nevalainen. 377
• A GA-Based Method for Function Approximation Using Adaptive InterpolationRida E. Moustafa, Kenneth A. De Jong, Edward J. Wegman. 378
• An Adaptive Simplex Genetic algorithmLinyu Yang, John Yen. 379
• Probabilistic Evolution and the Busy Beaver ProblemRoberto Santana, Alberto Ochoa-Rodríguez, Marta Soto, Francisco Baptista Pereira, Penousal Machado, Ernesto Costa, Amílcar Cardoso. 380
• Combining Local Search and Fitness Function Adaptation in a GA for Solving Binary Constraint Satisfaction ProblemsBart G. W. Craenen, A. E. Eiben, Elena Marchiori, Adri G. Steenbeek. 381
• Where should Children be Generated by Crossover Operator on Function Optimization?Hiroshi Someya, Masayuki Yamamura. 382
• Uniform Coevolution for solving the density classification problem in Cellular AutomataAntonio Berlanga, Pedro Isasi, Araceli Sanchis de Miguel, José M. Molina. 383
• Solving Problems with Overlapping Building BlocksButhainah Al-kazemi, Chilukuri K. Mohan. 384
• Materialized View Selection in a Data Warehouse Using Evolutionary AlgorithmsJorng-Tzong Horng, Yu-Jan Chang, Baw-Jhiune Liu, Cheng-Yan Kao. 385
• Evaluation of the Effects of Noises by Experiments Using a Mobile RobotYuji Sakamoto, Masaki Kobayashi. 386
• A Genetic Algorithm for the Mini-Max Spanning Forest ProblemMitsuo Gen, Gengui Zhou. 387
• A Genetic Algorithms for Matrix Bandwith ReductionJose Torres-Jimenez, Eduardo Rodriguez-Tello, J. C. Ruiz-Suarez. 388
• Study of Evolution in Genetic Algorithms by Eigen s Theory Including Crossover OperatorHiroshi Furutani. 389
• MOLeCS: A MultiObjective Learning Classifier SystemEster Bernadó i Mansilla, Josep Maria Garrell i Guiu. 390
• Kernel Optimization in Pattern Recognition Using a Genetic AlgorithmMichael Yasunaga, Taro Nakamura, Ikuo Yoshihara, Jung Hwan Kim. 391
• Using phenotypic sharing in a classifier toolMozart Hasse, Aurora Trinidad Ramirez Pozo. 392
• Characterizing a Tunably Difficult Problem in Genetic ProgrammingOmer A. Chaudhri, Jason M. Daida, Jonathan C. Khoo, Wendell S. Richardsons, Rachel Harrison, William J. Sloat. 395-402
• Improving Induction of Linear Classification Trees with Genetic ProgrammingMartijn C. J. Bot. 403-410
• GP+Echo+Subsumption = Improved Problem SolvingWilliam F. Punch, W. M. Rand. 411-418
• Controlling Effective Introns for Multi-Agent Learning by Genetic ProgrammingHitoshi Iba, Makoto Terao. 419-426
• A Kolmogorov Complexity-based Genetic Programming Tool for String CompressionIvan De Falco, Aniello Iazzetta, Ernesto Tarantino, Antonio Della Cioppa, G. Trautteur. 427-434
• Fitness Sharing in Genetic ProgrammingRobert I. McKay. 435-442
• The Effects of Randomly Sampled Training Data on Program EvolutionBrian J. Ross. 443-450
• Quadratic Bloat in Genetic ProgrammingWilliam B. Langdon. 451-458
• Genetic Programming with Statically Scoped Local VariablesEvan Kirshenbaum. 459-468
• Exact Schema Theorem and Effective Fitness for GP with One-Point CrossoverRiccardo Poli. 469-476
• Automatic Synthesis of Electrical Circuits Containing a Free Variable Using Genetic ProgrammingJohn R. Koza, Martin A. Keane, Jessen Yu, William Mydlowec. 477-484
• Grammar based function definition in Grammatical EvolutionMichael O Neill, Conor Ryan. 485-490
• Generating Robust Control Equations with Genetic Programming for Control of a Rolling Inverted PendulumHiroaki Shimooka, Yoshiji Fujimoto. 491-495
• Automatic Synthesis of Both the Topology and Tuning of a Common Parameterized Controller for Two Families of Plants using Genetic ProgrammingMartin A. Keane, Jessen Yu, John R. Koza. 496-504
• Evolutionary Synthesis of Multiplexor Circuits under Hardware ConstraintsRolf Drechsler, Wolfgang Günther. 513-518
• A Novel Evolvable Hardware Framework for the Evolution of High Performance Digital CircuitsBen I. Hounsell, Tughrul Arslan. 525
• Redundant Node Pruning and Adaptive Search Method for Genetic ProgrammingYoichiro Maeda, Satomi Kawaguchi. 535
• Experimental Study of Isolated Multipulation Genetic ProgrammingFrancisco Fernández, Marco Tomassini, William F. Punch, J. M. Sánchez. 536
• A Fast Model-Building Method for Time Series Using Genetic ProgrammingIkuo Yoshihara, Tomoo Aoyama, Moritoshi Yasunaga. 537
• EHWPack: a parallel Software/Hardware Environment for Evolvable HardwareDidier Keymeulen, Gerhard Klimeck, Ricardo Salem Zebulum, Adrian Stoica, Carlos Salazar-Lazaro. 538
• Embedding Landscape Neutrality to Build a Bridge from the Conventional to a More Efficient Three-bit Multiplier CircuitVesselin K. Vassilev, Julian F. Miller. 539
• Genetic Programming within a Framework of Computer-Aided Discovery of Scientific KnowledgeMaarten Keijzer, Vladan Babovic. 543-550
• Genomic computing: explanatory modelling for functional genomicsRichard J. Gilbert, Jem J. Rowland, Douglas B. Kell. 551-557
• Hybrid Differential Evolution for Dynamic Optimization of a Fedbatch Bioreactor ProcessFeng-Sheng Wang. 558-565
• Adaptive Learning for PokerLuigi Barone, R. Lyndon While. 566-573
• Heuristics for Evolutionary Off-line Routing in Telecommunication NetworksJoshua D. Knowles, David Corne. 574-581
• A Fault-tolerant Multicast Routing Algorithm in ATM NetworksSam Kwong, S. S. Chan. 582-589
• Evaluation of Genetic Programming and Neural Networks Techniques for Nuclear Material IdentificationSara Pozzi, Javier Segovia. 590-596
• Evolutionary Multiperiod Asset AllocationStefania Baglioni, Dario Sorbello, Célia da Costa Pereira, Andrea Tettamanzi. 597-604
• A Multi-Adaptive Agent Model of Generator Bidding in the UK Market in ElectricityAnthony J. Bagnall. 605-612
• Applying Genetic Algorithms to Multi-Objective Land Use PlanningKeith B. Matthews, Susan Craw, Stewart Elder, Alan R. Sibbald, Iain MacKenzie. 613-620
• Structural Optimization of Laminated Plates with Genetic AlgorithmsLino A. Costa, Pedro Oliveira, Isabel N. Figueiredo, Luí F. Roseiro, Rogério P. Leal. 621-627
• Informed operators: Speeding up genetic-algorithm-based design optimization using reduced modelsKhaled Rasheed, Haym Hirsh. 628-635
• Solving Large Binary Quadratic Programming Problems by Effective Genetic Local Search AlgorithmKengo Katayama, Masafumi Tani, Hiroyuki Narihisa. 643-650
• Genetic Programming for Image Analysis: Orientation DetectionSimon C. Roberts, Daniel Howard. 651-657
• Edge Dection of Petrographic Image Using Genetic ProgrammingBrian J. Ross, Frank Fueten, Dmytro Y. Yashkir. 658-665
• A Genetic Segmentation Algorithm for Image Data Streams and VideoPatrick Chiu, Andreas Girgensohn, Wolfgang Polak, Eleanor G. Rieffel, Lynn Wilcox, Forrest H. Bennett III. 666-673
• A Combined Evolutionary Search and Multilevel Approach to Graph PartitioningAlan J. Soper, Chris Walshaw, Mark Cross. 674-681
• A New Genetic Algorithm for Minimum Span Frequency Assignment using Permutation and CliqueShouichi Matsui, Ken-ichi Tokoro. 682-689
• Domain Knowledge and Representation in Genetic Algorithms for Real World Scheduling ProblemsIoannis T. Christou, Armand Zakarian. 690-696
• Evolutionary Real-World Shop Floor Scheduling using Parallelization and Parameter CoevolutionJoachim Käschel, Bernd Meier, Marco Fischer, Tobias Teich. 697-701
• Evolutionary, my dear Watson - Investigating Committee-based Evolution of Fuzzy Rules for the Detection of Suspicious Insurance ClaimsPeter J. Bentley. 701-709
• Code Compaction Using Genetic AlgorithmsKeith E. Mathias, Larry J. Eshelman, J. David Schaffer, Lex Augusteijn, Paul F. Hoogendijk, Rik van de Wiel. 710-717
• A Simple and Fast GA-SA hybrid Image Segmentation AlgorithmShinn-Ying Ho, Kual-Zheng Lee. 718-725
• Classification of Spectral Image Using Genetic ProgrammingPatrick J. Rauss, Jason M. Daida, Shahbaz A. Chaudhary. 726-733
• Metaphor for learning: an evolutionary algorithmJody Lee Louse, Alexander Kain, James Hines. 734-741
• Interaction Evolution of Adaptive Parameter for Speaker Verification SystemsYuji Sato. 742
• Global Gene Expression Analysis with genetic ProgrammingYuh-Jyh Hu. 753
• Feasible Encodings for GA Solutions of constrained Minimal Spanning Tree ProblemsWilliam Edelson, Michael L. Gargano. 754
• Modeling TCP/IP network traffic for intrusion detection by genetic evolutionFilippo Neri. 755
• A Genetic Programming Framework for Error Recovery in Robotic Assembly SystemsCem M. Baydar, Kazuhiro Saitou. 756
• Knowledge-based Encoding in Interactive Genetic Algorithm for a Fashion Design Aid SystemHee-Su Kim, Sung-Bae Cho. 757
• GAMUT: A system for customer modeling based on evolutionary algorithmsLuca Sammartino, Mikhail Simonov, Massimo Soroldoni, Andrea Tettamanzi. 758
• Genetic Algorithm driven Clustering for Toxicity PredictionDirk Devogelaere, Patrick van Bael, Marcel Rijckaert. 759
• Evolutionary Techniques Applied to Hashing: An efficient data retrieval methodDaniar Hussain, Steven Malliaris. 760
• Optimizing Television Commercial Air-time by means of a Genetic AlgorithmStephen C. Ottner. 761
• Genetic Elevator Group ControlJung Hwan Kim, Byung Ro Moon. 762
• Genetic Algorithm Optimization of a Filament Winding Process Modeled in WITNESSEric L. Wilson, Charles L. Karr, Sherri L. Messimer. 763
• Airfoil Optimization Using Genetic AlgorithmRajiv Mehrotra, Charles L. Karr, Rodney Bowersox. 764
• Genetic Wrappers for Constructive Induction in High-Performance Data MiningWilliam H. Hsu, Michael Welge, Thomas Redman, David Clutter. 765
• An Efficient Quadratic Curve Approximation Using an Intelligent Genetic AlgorithmShin-Ying Ho, Meng-Hsun Huang. 766
• Automatic Detection of Ships in Spaceborne SAR ImageryKarl Benson, David Booth, James Cubillo, Colin R. Reeves. 767
• An Evolutionary Algorithm for Constrained OptimizationTapabrata Ray, Tai Kang, Seow Kian Chye. 771-777
• Heterogeneity and Specialization in Evolving TeamsTerence Soule. 778-785
• On Evolutionary Optimization with Approximate Fitness FunctionsYaochu Jin, Markus Olhofer, Bernhard Sendhoff. 786-793
• A new Selection Scheme for Steady-State Evolution StrategiesJürgen Wakunda, Andreas Zell. 794
• Qualitative visual presentation of evolution algorithmsDarko Grundler, Tomislav Rolich. 805
• Variable Length Genomes for Evolutionary AlgorithmsC.-Y. Lee, E. K. Antonsson. 806
• Evolving agent socienties that avoid social dilemmasManisha Mundhe, Sandip Sen. 809-816
• Evolution of Strategies in Spatial IPD Games with Structure DemesHisao Ishibuchi, Tatsuo Nakari, Tomoharu Nakashima. 817-824
• Chemical CrossoverHugues Bersini. 825-832
• A New Moleculer Computing Model, Artifical Cell SystemsYasuhiro Suzuki, Hiroshi Tanaka. 833-840
• Levels of compartmentalization in Artificial EvolutionSanza T. Kazadi, D. Lee, R. Modi, J. Sy, Waynn Lue. 841-848
• Autonomous Acquisition of Fuzzy Rules for Mobile Robot Control: First Results from two Evolutionary Computation ApproachesAnthony G. Pipe, Brian Carse. 849-856
• On the development of spectral properties of visual agent receptors through evolutionAchim Liese, Daniel Polani, Thomas Uthmann. 857
• Fitness Function Analysis of Biological Genetic Codes using an Evolutionary AlgorithmWilliam Seffens, David W. Digby. 867
• Evolving Agent Aggregates using Cellular Genetic AlgorithmsXavier Llorà, Josep Maria Garrell i Guiu. 868
• Evolving Insect Locomotion using Non-uniform Cellular AutomataEdgar E. Vallejo, Fernando Ramos. 869
• A Classifier Based Learning Model for Intelligent AgentsJalal Baghdadchi. 870
• The Role of Mimicry in Social EvolutionHiroshi Satoh, Kimitaka Uno, Masao Kubo, Akira Namatame. 871
• Improving Sequence Design for DNA ComputingMasanori Arita, Akio Nishikawa, Masami Hagiya, Ken Komiya, Hidetaka Gouzu, Kensaku Sakamoto. 875-882
• Using Genetic Algorithms to Solve Multiple Sequence AlignmentsJorng-Tzong Horng, Ching-Mei Lin, Baw-Jhiune Liu, Cheng-Yan Kao. 883
• Ant Colony Optimization for Resource-Constrained Projet SchedulingDaniel Merkle, Martin Middendorf, Hartmut Schmeck. 893
• Takeover Times and Probabilities of Non-Generational Selection RulesGünter Rudolph. 903
• Selection Intensity in Genetic Algorithm with Generation GapsErick Cantú-Paz. 911-918
• Polynomial Time Summary Statistics for Two general Classes of FunctionsRobert B. Heckendorn. 919-926
• Effects of Finite Populations on Evolutionary Stable StrategiesSevan G. Ficici, Jordan B. Pollack. 927
• Computation in Genetic Code-Like TransformationsHillol Kargupta. 937
• Evolutionary Robotics: Coping with Environment ChangeJoseba Urzelai, Dario Floreano. 941-948
• The Effects of Team Size on the Evolution of Distributed Micro air VehiclesDaniel J. Collins, Arvin Agah, Annie S. Wu, Alan C. Schutz. 949-956
• Evolutionary Design of Behaviors for Action-Based Environment Modeling by a Mobile RobotSeiji Yamada. 957
• Trajectory Optimization for Redundant Robots Using Genetic AlgorithmsEduardo José Solteiro Pires, José António Tenreiro Machado. 967
• Genetic Algorithm for Optimization of Lego AssembliesMaxim Peysakhov, Vlada Galinskaya, William C. Regli. 968
• Choosing the Right Number of Trials for a Minimal SimulationAdrian Trenaman. 969
• Extrapolation-Directed Crossover for Job-shop Scheduling Problems: Complementary Combination with JOXJun Sakuma, Shigenobu Kobayashi. 973-980
• A steady-state evolutionary algorithm for the job shop problemPatrick van Bael, Dirk Devogelaere, Marcel Rijckaert. 981-986
• A Memetic Algorithm With Self-Adaptive Local Search: TSP as a case studyNatalio Krasnogor, Jim Smith. 987-994
• A Comparison of Operators for Solving Time dependent Traveling Salesman Problems Using Genetic AlgorithmsLoenard J. Testa, Albert C. Esterline, Gerry V. Dozier, Abdollah Homaifar. 995-1102
• A Comparison of Genetic Algorithms for the Dynamic Job Shop Scheduling ProblemManuel Vázquez, L. Darrell Whitley. 1011
• A Selection Scheme in Genetic Algorithms for a Complex Scheduling ProblemCarlos A. Brizuela, Nobuo Sannomiya. 1021
• An Evolutionary Algorithms to Training Neural Networks for a Two-Spiral ProblemJinn-Moon Yang, Cheng-Yan Kao. 1025-1032
• Evolving context-free language predictorsMikael Bodén, Henrik Jacobsson, Tom Ziemke. 1033-1040
• Eugenic Neuro-Evolution for Reinforcement LearningDaniel Polani, Risto Miikkulainen. 1041-1046
• A Study on Efficient Generation of Decision Trees Using Genetic ProgrammingToru Tanigawa, Qiangfu Zhao. 1047-1052
• Using Evolutionary Algorithms to Induce Oblique Decision TreesErick Cantú-Paz, Chandrika Kamath. 1053-1060
• A hybrid decision tree/genetic algorithm for coping with the problem of small disjuncts in data miningDeborah R. Carvalho, Alex Alves Freitas. 1061-1068
• Multi-objective pattern and feature selection by a genetic algorithmHisao Ishibuchi, Tomoharu Nakashima. 1069
• Designing an Expanded SOM for the Traveling Salesman Problem by Genetic AlgorithmsHuidong Jin, Kwong-Sak Leung, Man Leung Wong. 1079
• Comparing a Genetic Algorithm with a Rule Induction Algorithm in the Data Mining Task of Dependence ModelingEdgar Noda, Alex Alves Freitas, Heitor S. Lopes. 1080
• Genetic Algorithms for Reformulation of Large-Scale KDD Problems with Many Irrelevant AttributesWilliam H. Hsu, Yuhong Cheng, Haipeng Guo, Steven M. Gustafson. 1081