2. FOGA 1992: Vail, Colorado, USA
L. Darrell Whitley (Ed.): 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
Modeling Genetic Algorithms
- Lashon B. Booker: Recombination Distributions for Genetic Algorithms. 29-44
- 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
- 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, Darrell Whitley: Remapping Hyperspace During Genetic Search: Canonical Delta Folding. 167-186
Genetic Operators and Their Analysis
- 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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last updated on 2013-06-19T203413 by the dblp team