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Book Categories |
Introduction | 1 | |
Pt. 1 | Foundation Issues Revisited | |
Genetic Algorithms are NOT Function Optimizers | 5 | |
Generation Gaps Revisited | 19 | |
Pt. 2 | Modeling Genetic Algorithms | |
Recombination Distributions for Genetic Algorithms | 29 | |
An Executable Model of a Simple Genetic Algorithm | 45 | |
Modeling Simple Genetic Algorithms | 63 | |
Pt. 3 | Deception and the Building Block Hypothesis | |
Deception Considered Harmful | 75 | |
Analyzing Deception in Trap Functions | 93 | |
Relative Building-Block Fitness and the Building Block Hypothesis | 109 | |
Pt. 4 | Convergence and Genetic Diversity | |
Accounting for Noise in the Sizing of Populations | 127 | |
Syntactic Analysis of Convergence in Genetic Algorithms | 141 | |
Population Diversity in an Immune System Model: Implications for Genetic Search | 153 | |
Remapping Hyperspace During Genetic Search: Canonical Delta Folding | 167 | |
Pt. 5 | Genetic Operators and Their Analysis | |
Real-Coded Genetic Algorithms and Interval-Schemata | 187 | |
Genetic Set Recombination | 203 | |
Crossover or Mutation? | 221 | |
Simulated Crossover in Genetic Algorithms | 239 | |
Pt. 6 | Machine Learning | |
Learning Boolean Functions with Genetic Algorithms: A PAC Analysis | 257 | |
Is the Genetic Algorithm a Cooperative Learner? | 277 | |
Hierarchical Automatic Function Definition in Genetic Programming | 297 | |
Author Index | 319 | |
Key Word Index | 321 |
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