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ORCID2nd FOGA 1992: Vail, Colorado, USA
- L. Darrell Whitley:
Proceedings of the Second Workshop on Foundations of Genetic Algorithms. Vail, Colorado, USA, July 26-29 1992. Morgan Kaufmann 1993, ISBN 1-55860-263-1
Foundation Issues Revisited
- Kenneth A. De Jong:
Genetic Algorithms are NOT Function Optimizers. 5-17 - Kenneth A. De Jong, Jayshree Sarma:
Generation Gaps Revisited. 19-28
Modeling Genetic Algorithms
- Lashon B. Booker:
Recombination Distributions for Genetic Algorithms. 29-44 - L. Darrell Whitley:
An Executable Model of a Simple Genetic Algorithm. 45-62 - Michael D. Vose:
Modeling Simple Genetic Algorithms. 63-73
Deception and the Building Block Hypothesis
- John J. Grefenstette:
Deception Considered Harmful. 75-91 - Kalyanmoy Deb, David E. Goldberg:
Analyzing Deception in Trap Functions. 93-108 - Stephanie Forrest, Melanie Mitchell:
Relative Building-Block Fitness and the Building Block Hypothesis. 109-126
Convergence and Genetic Diversity
- David E. Goldberg, Kalyanmoy Deb, James H. Clark:
Accounting for Noise in the Sizing of Populations. 127-140 - Sushil J. Louis, Gregory J. E. Rawlins:
Syntactic Analysis of Convergence in Genetic Algorithms. 141-151 - Robert E. Smith, Stephanie Forrest, Alan S. Perelson:
Population Diversity in an Immune System Model: Implications for Genetic Search. 153-165 - Keith E. Mathias, L. Darrell Whitley:
Remapping Hyperspace During Genetic Search: Canonical Delta Folding. 167-186
Genetic Operators and Their Analysis
- Larry J. Eshelman, J. David Schaffer:
Real-Coded Genetic Algorithms and Interval-Schemata. 187-202 - Nicholas J. Radcliffe:
Genetic Set Recombination. 203-219 - William M. Spears:
Crossover or Mutation? 221-237 - Gilbert Syswerda:
Simulated Crossover in Genetic Algorithms. 239-255
Machine Learning
- Johannes P. Ros:
Learning Boolean Functions with Genetic Algorithms: A PAC Analysis. 257-275 - Helen G. Cobb:
Is the Genetic Algorithm a Cooperative Learner? 277-296 - John R. Koza:
Hierarchical Automatic Function Definition in Genetic Programming. 297-318
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