4. ICGA 1991: San Diego, CA, USA
Richard K. Belew, Lashon B. Booker (Eds.): Proceedings of the 4th International Conference on Genetic Algorithms, San Diego, CA, USA, July 1991. Morgan Kaufmann 1991 ISBN 1-55860-208-9
Representation and Genetic Operators
- Sugato Bagchi, N. Serdar Uckun, Yutaka Miyabe, Kazuhiko Kawamura: Exploring Problem-Specific Recombination Operators for Job Shop Scheduling. 10-17
- Lawrence Davis: Bit-Climbing, Representational Bias, and Test Suite Design. 18-23
- Cezary Z. Janikow, Zbigniew Michalewicz: An Experimental Comparison of Binary and Floating Point Representations in Genetic Algorithms. 31-36
- John R. Koza: Evolving a Computer Program to Generate Random Numbers Using the Genetic Programming Paradigm. 37-44
- Gregor von Laszewski: Intelligent Structural Operators for the k-way Graph Partitioning Problem. 45-52
- Sushil J. Louis, Gregory J. E. Rawlins: Designer Genetic Algorithms: Genetic Algorithms in Structure Design. 53-60
- Timothy Starkweather, S. McDaniel, Keith E. Mathias, L. Darrell Whitley, C. Whitley: A Comparison of Genetic Sequencing Operators. 69-76
- L. Darrell Whitley, Keith E. Mathias, Patrick A. Fitzhorn: Delta Coding: An Iterative Search Strategy for Genetic Algorithms. 77-84
- Stewart W. Wilson: GA-Easy Does Not Imply Steepest-Ascent Optimizable. 85-91
Genetic Algorithm Techniques and Behavior
- Mark F. Bramlette: Initialization, Mutation and Selection Methods in Genetic Algorithms for Function Optimization. 100-107
- Hugh M. Cartwright, Gregory F. Mott: Looking Around: Using Clues from the Data Space to Guide Genetic Algorithm Searches. 108-114
- Larry J. Eshelman, J. David Schaffer: Preventing Premature Convergence in Genetic Algorithms by Preventing Incest. 115-122
- James R. Levenick: Inserting Introns Improves Genetic Algorithm Success Rate: Taking a Cue from Biology. 123-127
- Marc Lipsitch: Adaptation on Rugged Landscapes Generated by Iterated Local Interactions of Neighboring Genes. 128-135
- Michael L. Littman, David H. Ackley: Adaptation in Constant Utility Non-Stationary Environments. 136-142
- Bernard Manderick, Mark K. de Weger, Piet Spiessens: The Genetic Algorithm and the Structure of the Fitness Landscape. 143-150
- Alan G. Schultz: Adapting the Evaluation Space to Improve Global Learning. 158-165
Formal Analysis of Genetic Algorithms
- Rajarshi Das, L. Darrell Whitley: The Only Challenging Problems Are Deceptive: Global Search by Solving Order-1 Hyperplanes. 166-173
- Thomas E. Davis, José Carlos Príncipe: A Simulated Annealing Like Convergence Theory for the Simple Genetic Algorithm. 174-181
- Stephanie Forrest, Melanie Mitchell: The Performance of Genetic Algorithms on Walsh Polynomials: Some Anomalous Results and Their Explanation. 182-189
- William E. Hart, Richard K. Belew: Optimising an Arbitrary Function is Hard for the Genetic Algorithm. 190-195
- Abdollah Homaifar, Xiaoyun Qi, John Fost: Analysis and Design of a General GA Deceptive Problem. 196-203
- Martin Hulin: Analysis of Schema Distributions. 204-209
- Andrew J. Mason: Partition Coefficients, Static Deception and Deceptive Problems for Non-Binary Alphabets. 210-214
- Nicholas J. Radcliffe: Forma Analysis and Random Respectful Recombination. 222-229
Parallel Genetic Algorithms
- James P. Cohoon, Worthy N. Martin, Dana S. Richards: A Multi-Population Genetic Algorithm for Solving the K-Partition Problem on Hyper-Cubes. 244-248
- Yuval Davidor: A Naturally Occurring Niche and Species Phenomenon: The Model and First Results. 257-263
- Phil Husbands, Frank Mill: Simulated Co-Evolution as the Mechanism for Emergent Planning and Scheduling. 264-270
- Heinz Mühlenbein, M. Schomisch, Joachim Born: The Parallel Genetic Algorithm as Function Optimizer. 271-278
- Piet Spiessens, Bernard Manderick: A Massively Parallel Genetic Algorithm: Implementation and First Analysis. 279-287
Classifier Systems and Other Rule-Based Approaches
- Pierre Bonelli, Alexandre Parodi: An Efficient Classifier System and Its Experimental Comparison with Two Representative Learning Methods on Three Medical Domains. 288-295
- Marco Dorigo, Enrico Sirtori: Alecsys: A Parallel Laboratory for Learning Classifier Systems. 296-302
- John J. Grefenstette: Lamarckian Learning in Multi-Agent Environments. 303-310
- Hiroaki Kitano, Stephen F. Smith, Tetsuya Higuchi: GA-1: A Parallel Associative Memory Processor for Rule Learning with Genetic Algorithms. 311-317
- Rick L. Riolo: Modeling Simple Human Category Learning with a Classifier System. 324-333
- Tod A. Sedbrook, Haviland Wright, Richard Wright: Application of a Genetic Classifier for Patient Triage. 334-338
- Manuel Valenzuela-Rendón: The Fuzzy Classifier System: A Classifier System for Continuously Varying Variables. 346-353
- Tom H. Westerdale: Redundant Classifiers and Prokaryote Genomes. 354-361
Genetic Algorithms in Hybrid Methods
- Bir Bhanu, Sungkee Lee, John C. Ming: Self-Optimizing Image Segmentation System Using a Genetic Algorithm. 362-369
- James D. Kelly Jr., Lawrence Davis: Hybridizing the Genetic Algorithm and the K Nearest Neighbors Classification Algorithm. 377-383
- David Rogers: G/SPLINES: A Hybrid of Friedman's Multivariate Adaptive Regression Splines (MARS) Algorithm with Holland's Genetic Algorithm. 384-391
Genetic Algorithm Applications
- Kristin P. Bennett, Michael C. Ferris, Yannis E. Ioannidis: A Genetic Algorithm for Database Query Optimization. 400-407
- Jay N. Bhuyan, Vijay V. Raghavan, Venkatesh K. Elayavalli: Genetic Algorithm for Clustering with an Ordered Representation. 408-415
- Craig Caldwell, Victor S. Johnston: Tracking a Criminal Suspect Through "Face-Space" with a Genetic Algorithm. 416-421
- David L. Calloway: Using a Genetic Algorithm to Design Binary Phase-Only Filters for Pattern Recognition. 422-429
- Paula Gabbert, Donald E. Brown, Christopher L. Huntley, Bernard P. Markowicz, David E. Sappington: A System for Learning Routes and Schedules with Genetic Algorithms. 430-436
- Andrew Horner, David E. Goldberg: Genetic Algorithms and Computer-Assisted Music Composition. 437-441
- Charles L. Karr: Design of an Adaptive Fuzzy Logic Controller Using a Genetic Algorithm. 450-457
- Corey Kosak, Joe Marks, Stuart M. Shieber: A Parallel Genetic Algorithm for Network-Diagram Layout. 458-465
- Nashat Mansour, Geoffrey Fox: A Hybrid Genetic Algorithm for Task Allocation in Multicomputers. 466-473
- Jean-Pierre Nordvik, Jean-Michel Renders: Genetic Algorithms and Their Potential for Use in Process Control: A Case Study. 480-486
- Ron Shonkwiler, F. Mendivil, A. Deliu: Genetic Algorithms for the 1-D Fractal Inverse Problem. 495-501
- Gilbert Syswerda, Jeff Palmucci: The Application of Genetic Algorithms to Resource Scheduling. 502-508
- Philip R. Thrift: Fuzzy Logic Synthesis with Genetic Algorithms. 509-513
- Peter J. Wyard: Context Free Grammar Induction Using Genetic Algorithms. 514-519
Connectionism and Artificial Life
- Hugues Bersini, Francisco J. Varela: The Immune Recruitment Mechanism: A Selective Evolutionary Strategy. 520-526
- Thomas S. Ray: Is It Alive or Is It GA? 527-534
- Joshua R. Smith: Designing Biomorphs with an Interactive Genetic Algorithm. 535-538
- Keiji Suzuki, Yukinori Kakazu: An Approach to the Analysis of the Basins of the Associative Memory Model Using Genetic Algorithms. 539-546
- Peter M. Todd, Geoffrey F. Miller: On the Sympatric Origin of Species: Mercurial Mating in the Quicksilver Model. 547-554
- Jan Torreele: Temporal Processing with Recurrent Networks: An Evolutionary Approach. 555-561
- L. Darrell Whitley, Stephen Dominic, Rajarshi Das: Genetic Reinforcement Learning with Multilayer Neural Networks. 562-569
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