Table of Contents

• A Survey of Evolution StrategiesThomas Bäck, Frank Hoffmeister, Hans-Paul Schwefel. 2-9
• Exploring Problem-Specific Recombination Operators for Job Shop SchedulingSugato Bagchi, N. Serdar Uckun, Yutaka Miyabe, Kazuhiko Kawamura. 10-17
• Bit-Climbing, Representational Bias, and Test Suite DesignLawrence Davis. 18-23
• Don t Worry, Be MessyDavid E. Goldberg, Kalyanmoy Deb, Bradley Korb. 24-30
• An Experimental Comparison of Binary and Floating Point Representations in Genetic AlgorithmsCezary Z. Janikow, Zbigniew Michalewicz. 31-36
• Evolving a Computer Program to Generate Random Numbers Using the Genetic Programming ParadigmJohn R. Koza. 37-44
• Intelligent Structural Operators for the k-way Graph Partitioning ProblemGregor von Laszewski. 45-52
• Designer Genetic Algorithms: Genetic Algorithms in Structure DesignSushil J. Louis, Gregory J. E. Rawlins. 53-60
• On Crossover as an Evolutionarily Viable StrategyJ. David Schaffer, Larry J. Eshelman. 61-68
• A Comparison of Genetic Sequencing OperatorsTimothy Starkweather, S. McDaniel, Keith E. Mathias, L. Darrell Whitley, C. Whitley. 69-76
• Delta Coding: An Iterative Search Strategy for Genetic AlgorithmsL. Darrell Whitley, Keith E. Mathias, Patrick A. Fitzhorn. 77-84
• GA-Easy Does Not Imply Steepest-Ascent OptimizableStewart W. Wilson. 85-91
• Extended Selection Mechanisms in Genetic AlgorithmsThomas Bäck, Frank Hoffmeister. 92-99
• Initialization, Mutation and Selection Methods in Genetic Algorithms for Function OptimizationMark F. Bramlette. 100-107
• Looking Around: Using Clues from the Data Space to Guide Genetic Algorithm SearchesHugh M. Cartwright, Gregory F. Mott. 108-114
• Preventing Premature Convergence in Genetic Algorithms by Preventing IncestLarry J. Eshelman, J. David Schaffer. 115-122
• Inserting Introns Improves Genetic Algorithm Success Rate: Taking a Cue from BiologyJames R. Levenick. 123-127
• Adaptation on Rugged Landscapes Generated by Iterated Local Interactions of Neighboring GenesMarc Lipsitch. 128-135
• Adaptation in Constant Utility Non-Stationary EnvironmentsMichael L. Littman, David H. Ackley. 136-142
• The Genetic Algorithm and the Structure of the Fitness LandscapeBernard Manderick, Mark K. de Weger, Piet Spiessens. 143-150
• Handling Constraints in Genetic AlgorithmsZbigniew Michalewicz, Cezary Z. Janikow. 151-157
• Adapting the Evaluation Space to Improve Global LearningAlan G. Schultz. 158-165
• The Only Challenging Problems Are Deceptive: Global Search by Solving Order-1 HyperplanesRajarshi Das, L. Darrell Whitley. 166-173
• A Simulated Annealing Like Convergence Theory for the Simple Genetic AlgorithmThomas E. Davis, José Carlos Príncipe. 174-181
• The Performance of Genetic Algorithms on Walsh Polynomials: Some Anomalous Results and Their ExplanationStephanie Forrest, Melanie Mitchell. 182-189
• Optimising an Arbitrary Function is Hard for the Genetic AlgorithmWilliam E. Hart, Richard K. Belew. 190-195
• Analysis and Design of a General GA Deceptive ProblemAbdollah Homaifar, Xiaoyun Qi, John Fost. 196-203
• Analysis of Schema DistributionsMartin Hulin. 204-209
• Partition Coefficients, Static Deception and Deceptive Problems for Non-Binary AlphabetsAndrew J. Mason. 210-214
• An Analysis of a Simple Genetic AlgorithmYuri Rabinovich, Avi Wigderson. 215-221
• Forma Analysis and Random Respectful RecombinationNicholas J. Radcliffe. 222-229
• On the Virtues of Parameterised Uniform CrossoverWilliam M. Spears, Kenneth A. De Jong. 230-236
• Schema DisruptionMichael D. Vose, Gunar E. Liepins. 237-243
• A Multi-Population Genetic Algorithm for Solving the K-Partition Problem on Hyper-CubesJames P. Cohoon, Worthy N. Martin, Dana S. Richards. 244-248
• Selection in Massively Parallel Genetic AlgorithmsRobert J. Collins, David R. Jefferson. 249-256
• A Naturally Occurring Niche and Species Phenomenon: The Model and First ResultsYuval Davidor. 257-263
• Simulated Co-Evolution as the Mechanism for Emergent Planning and SchedulingPhil Husbands, Frank Mill. 264-270
• The Parallel Genetic Algorithm as Function OptimizerHeinz Mühlenbein, M. Schomisch, Joachim Born. 271-278
• A Massively Parallel Genetic Algorithm: Implementation and First AnalysisPiet Spiessens, Bernard Manderick. 279-287
• An Efficient Classifier System and Its Experimental Comparison with Two Representative Learning Methods on Three Medical DomainsPierre Bonelli, Alexandre Parodi. 288-295
• Alecsys: A Parallel Laboratory for Learning Classifier SystemsMarco Dorigo, Enrico Sirtori. 296-302
• Lamarckian Learning in Multi-Agent EnvironmentsJohn J. Grefenstette. 303-310
• GA-1: A Parallel Associative Memory Processor for Rule Learning with Genetic AlgorithmsHiroaki Kitano, Stephen F. Smith, Tetsuya Higuchi. 311-317
• Classifier System Learning of Boolean ConceptsGunar E. Liepins, Lori A. Wang. 318-323
• Modeling Simple Human Category Learning with a Classifier SystemRick L. Riolo. 324-333
• Application of a Genetic Classifier for Patient TriageTod A. Sedbrook, Haviland Wright, Richard Wright. 334-338
• HCS: Adding Hierarchies to Classifier SystemsLingvan Shu, Jonathan Schaeffer. 339-345
• The Fuzzy Classifier System: A Classifier System for Continuously Varying VariablesManuel Valenzuela-Rendón. 346-353
• Redundant Classifiers and Prokaryote GenomesTom H. Westerdale. 354-361
• Self-Optimizing Image Segmentation System Using a Genetic AlgorithmBir Bhanu, Sungkee Lee, John C. Ming. 362-369
• System Identification with Evolving Polynomial NetworksHillol Kargupta, Robert E. Smith. 370-376
• Hybridizing the Genetic Algorithm and the K Nearest Neighbors Classification AlgorithmJames D. Kelly Jr., Lawrence Davis. 377-383
• G/SPLINES: A Hybrid of Friedman s Multivariate Adaptive Regression Splines (MARS) Algorithm with Holland s Genetic AlgorithmDavid Rogers. 384-391
• Genetic Algorithms in Asynchronous TeamsPedro S. de Souza, Sarosh Talukdar. 392-399
• A Genetic Algorithm for Database Query OptimizationKristin P. Bennett, Michael C. Ferris, Yannis E. Ioannidis. 400-407
• Genetic Algorithm for Clustering with an Ordered RepresentationJay N. Bhuyan, Vijay V. Raghavan, Venkatesh K. Elayavalli. 408-415
• Tracking a Criminal Suspect Through Face-Space with a Genetic AlgorithmCraig Caldwell, Victor S. Johnston. 416-421
• Using a Genetic Algorithm to Design Binary Phase-Only Filters for Pattern RecognitionDavid L. Calloway. 422-429
• A System for Learning Routes and Schedules with Genetic AlgorithmsPaula Gabbert, Donald E. Brown, Christopher L. Huntley, Bernard P. Markowicz, David E. Sappington. 430-436
• Genetic Algorithms and Computer-Assisted Music CompositionAndrew Horner, David E. Goldberg. 437-441
• Solving Partitioning Problems with Genetic AlgorithmsDonald R. Jones, Mark A. Beltramo. 442-449
• Design of an Adaptive Fuzzy Logic Controller Using a Genetic AlgorithmCharles L. Karr. 450-457
• A Parallel Genetic Algorithm for Network-Diagram LayoutCorey Kosak, Joe Marks, Stuart M. Shieber. 458-465
• A Hybrid Genetic Algorithm for Task Allocation in MulticomputersNashat Mansour, Geoffrey Fox. 466-473
• Conventional Genetic Algorithm for Job Shop ProblemsRyohei Nakano, Takeshi Yamada. 474-479
• Genetic Algorithms and Their Potential for Use in Process Control: A Case StudyJean-Pierre Nordvik, Jean-Michel Renders. 480-486
• A Genetic Algorithm for Primitive ExtractionGerhard Roth, Martin D. Levine. 487-494
• Genetic Algorithms for the 1-D Fractal Inverse ProblemRon Shonkwiler, F. Mendivil, A. Deliu. 495-501
• The Application of Genetic Algorithms to Resource SchedulingGilbert Syswerda, Jeff Palmucci. 502-508
• Fuzzy Logic Synthesis with Genetic AlgorithmsPhilip R. Thrift. 509-513
• Context Free Grammar Induction Using Genetic AlgorithmsPeter J. Wyard. 514-519
• The Immune Recruitment Mechanism: A Selective Evolutionary StrategyHugues Bersini, Francisco J. Varela. 520-526
• Is It Alive or Is It GA?Thomas S. Ray. 527-534
• Designing Biomorphs with an Interactive Genetic AlgorithmJoshua R. Smith. 535-538
• An Approach to the Analysis of the Basins of the Associative Memory Model Using Genetic AlgorithmsKeiji Suzuki, Yukinori Kakazu. 539-546
• On the Sympatric Origin of Species: Mercurial Mating in the Quicksilver ModelPeter M. Todd, Geoffrey F. Miller. 547-554
• Temporal Processing with Recurrent Networks: An Evolutionary ApproachJan Torreele. 555-561
• Genetic Reinforcement Learning with Multilayer Neural NetworksL. Darrell Whitley, Stephen Dominic, Rajarshi Das. 562-569