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

@proceedings{DBLP:conf/foga/1992,
  editor    = {L. Darrell Whitley},
  title     = {Proceedings of the Second Workshop on Foundations of Genetic
               Algorithms. Vail, Colorado, USA, July 26-29 1992},
  booktitle = {FOGA},
  publisher = {Morgan Kaufmann},
  year      = {1993},
  isbn      = {1-55860-263-1},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

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
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, 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