Abstract is missing.
- Uniform Crossover in Genetic AlgorithmsGilbert Syswerda. 2-9
- Biases in the Crossover LandscapeLarry J. Eshelman, Rich Caruana, J. David Schaffer. 10-19
- How Genetic Algorithms Work: A Critical Look at Implicit ParallelismJohn J. Grefenstette, James E. Baker. 20-27
- Some Results on Boolean Concept Learning by Genetic AlgorithmsHans Ros. 28-33
- When Both Individuals and Populations Search: Adding Simple Learning to the Genetic AlgorithmRichard K. Belew. 34-41
- An Investigation of Niche and Species Formation in Genetic Function OptimizationKalyanmoy Deb, David E. Goldberg. 42-50
- A Study of Control Parameters Affecting Online Performance of Genetic Algorithms for Function OptimizationJ. David Schaffer, Rich Caruana, Larry J. Eshelman, Rajarshi Das. 51-60
- Adapting Operator Probabilities in Genetic AlgorithmsLawrence Davis. 61-69
- Sizing Populations for Serial and Parallel Genetic AlgorithmsDavid E. Goldberg. 70-79
- Zen and the Art of Genetic AlgorithmsDavid E. Goldberg. 80-85
- A New Interpretation of Schema Notation that Overtums the Binary Encoding ConstraintJim Antonisse. 86-91
- Genetic Search with Proportion EstimationsPing-Chung Chi. 92-97
- Analogous CrossoverYuval Davidor. 98-103
- Varying the Probability of Mutation in the Genetic AlgorithmTerence C. Fogarty. 104-109
- The Effects of Population SizeHeuristic Crossover and Local Improvement on a Genetic Algorithm for the Traveling Salesman ProblemPrasanna Jog, Jung-Yul Suh, Dirk Van Gucht. 110-115
- The GENITOR Algorithm and Selection Pressure: Why Rank-Based Allocation of Reproductive Trials is BestL. Darrell Whitley. 116-123
- Using Genetic Algorithms to Solve NP-Complete ProblemsKenneth A. De Jong, William M. Spears. 124-132
- Scheduling Problems and Traveling Salesmen: The Genetic Edge Recombination OperatorL. Darrell Whitley, Timothy Starkweather, D Ann Fuquay. 133-140
- Constrained Genetic Optimization via Dynarnic Reward-Penalty Balancing and Its Use in Pattern RecognitionWojciech W. Siedlecki, Jack Sklansky. 141-150
- EnGENEous Domain IndependentMachine Learning for Design OptimizationDavid J. Powell, Siu Shing Tong, Michael M. Skolnick. 151-159
- Using Genetic Algorithms to Schedule Flow Shop ReleasesGary A. Cleveland, Stephen F. Smith. 160-169
- Application of Genetic Algorithms in ChemometricsCarlos B. Lucasius, Gerrit Kateman. 170-176
- Genetic Algorithm for Inducing Control Rules for a Dynamic SystemMichael O. Odetayo, Douglas R. McGregor. 177-182
- A System for Learning Control Strategies with Genetic AlgorithmsJohn J. Grefenstette. 183-190
- Some Guidelines for Genetic Algorithms with Penalty FunctionsJon T. Richardson, Mark R. Palmer, Gunar E. Liepins, Mike R. Hilliard. 191-197
- Breeding Hybrid Strategies: Optimal Behavior for OligopolistsRobert E. Marks. 198-207
- A SEAGUL Visits the Race TrackMichael de la Mazza. 208-212
- A Comparative Evaluation of Search Methods Applied to Parametric Design of AircraftMark F. Bramlette, Rod Cusic. 213-218
- A Genetic Algorithm Approach to the Configuration of Stack FiltersChee-Hung Henry Chu. 219-224
- Genetic Algorithms and Information Accumulation during the Evolution of Gene RegulationMartijn A. Huynen, Paulien Hogeweg. 225-230
- Optimization of Steiner Trees Using Genetic AlgorithmsJürgen Hesser, Reinhard Männer, Oliver Stucky. 231-236
- Procedure Learning Using a Variable-Dimension Solution SpaceKenneth J. Hintz. 237-243
- A Critical Review of Classifier SystemsStewart W. Wilson, David E. Goldberg. 244-255
- The Emergence of Coupled Sequences of ClassifiersRick L. Riolo. 256-264
- Triggered Rule Discovery in Classifier SystemsLashon B. Booker. 265-274
- Back Propagation for the Classifier SystemRichard K. Belew, Michael Gherrity. 275-281
- A Defense of the Bucket BrigadeTom H. Westerdale. 282-290
- Learning by Analogy in Genetic Classifier SystemsHayong Harry Zhou, John J. Grefenstette. 291-297
- Asymptotic Dynamics of Classifier SystemsMario Compiani, Daniele Montanari, R. Serra, P. Simonini. 298-303
- The Dynamical Behavior of Classifier SystemsJohn H. Miller, Stephanie Forrest. 304-310
- The Context-Array Bucket-Brigade Algorithm: An Enhanced Approach to Credit-Apportionment in Classifier SystemsDijia Huang. 311-316
- A Rational Reconstruction of Wilson s Animat and Holland s CS-1Gary Roberts. 317-321
- The Emergence of Default Hierarchies in Learning Classifier SystemsRick L. Riolo. 322-327
- Representational Difficulties with Classifier SystemsDale Schuurmans, Jonathan Schaeffer. 328-333
- VCS: Variable Classifier SystemsLingyan Shu, Jonathan Schaeffer. 334-339
- A Study of Rule Set Development in a Learning Classifier SystemRobert E. Smith, Manuel Valenzuela-Rendón. 340-346
- Rosetta: Toward a Model of Learning ProblemsStephen J. Smith, Stewart W. Wilson. 347-350
- Boolean Analysis of Classifier SetsManuel Valenzuela-Rendón. 351-359
- Towards the Genetic Synthesisof Neural NetworksSteven A. Harp, Tariq Samad, Aloke Guha. 360-369
- Parametric Connectivity: Training of Constrained Networks using Genetic AlgorithmsThomas P. Caudell, Charles P. Dolan. 370-374
- Mapping Neural Networks into Classifier SystemsLawrence Davis. 375-378
- Designing Neural Networks using Genetic AlgorithmsGeoffrey F. Miller, Peter M. Todd, Shailesh U. Hegde. 379-384
- Machine Learning: A Mathematical Framework for Neural NetworkSymbolic and Genetics-Based LearningG. Deon Oosthuizen. 385-390
- Optimizing Neural Networks Using FasterMore Accurate Genetic SearchL. Darrell Whitley, Thomas Hanson. 391-397
- A Theoretical Investigation of a Parallel Genetic AlgorithmChrisila C. Pettey, Michael R. Leuze. 398-405
- A Parallel Genetic Heuristic for the Quadratic Assignment ProblemDonald E. Brown, Christopher L. Huntley, Andrew R. Spillane. 406-415
- Parallel Genetic Algorithms Population Genetics and Combinatorial OptimizationHeinz Mühlenbein. 416-421
- ASPARAGOS An Asynchronous Parallel Genetic Optimization StrategyMartina Gorges-Schleuter. 422-427
- Fine-Grained Parallel Genetic AlgorithmsBernard Manderick, Piet Spiessens. 428-433
- Distributed Genetic AlgorithmsReiko Tanese. 434-439