Foundations of Genetic Algorithms 1995 (FOGA 3)

• ISBN13: 9781558603561
• ISBN10: 1558603565
• Format: Hardcover
• Copyright: 1995-03-01
• Publisher: Elsevier Science Ltd

Table of Contents

Introduction	p. 1
An Experimental Design Perspective on Genetic Algorithms	p. 7
The Schema Theorem and Price's Theorem	p. 23
Fitness Variance of Formae and Performance Prediction	p. 51
The Troubling Aspects of a Building Block Hypothesis for Genetic Programming	p. 73
Order Statistics for Convergence Velocity Analysis of Simplified Evolutionary Algorithms	p. 91
Stability of Vertex Fixed Points and Applications	p. 103
Using Markov Chains to Analyze GAFOs	p. 115
Predictive Models Using Fitness Distributions of Genetic Operators	p. 139
Modeling Simple Genetic Algorithms for Permutation Problems	p. 163
Population Size and Genetic Drift in Fitness Sharing	p. 185
An Approach to the Study of Sensitivity for a Class of Genetic Algorithms	p. 225
Genetic Algorithm Difficulty and the Modality of Fitness Landscapes	p. 243
Greedy Recombination and Genetic Search on the Space of Computer Programs	p. 271
Productive Recombination and Propagating and Preserving Schemata	p. 299
The Role of Development in Genetic Algorithms	p. 315
Author Index	p. 333
Key Word Index	p. 335
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