Foundations of Genetic Algorithms 1993 (FOGA 2) - 1st Edition - ISBN: 9781558602632, 9780080948324

Foundations of Genetic Algorithms 1993 (FOGA 2), Volume 2

1st Edition

Editors: FOGA
Hardcover ISBN: 9781558602632
eBook ISBN: 9780080948324
Imprint: Morgan Kaufmann
Published Date: 1st February 1993
Page Count: 322
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Table of Contents


Introduction

Part 1: Foundation Issues Revisited

Genetic Algorithms are Not Function Optimizers

Generation Gaps Revisited

Part 2: Modeling Genetic Algorithms

Recombination Distributions for Genetic Algorithms

An Executable Model of a Simple Genetic Algorithm

Modeling Simple Genetic Algorithms

Part 3: Deception and the Building Block Hypothesis

Deception Considered Harmful

Analyzing Deception in Trap Functions

Relative Building-Block Fitness and the Building Block Hypothesis

Part 4: Convergence and Genetic Diversity

Accounting for Noise in the Sizing of Populations

Population Diversity in an Immune System Model: Implications for Genetic Search

Remapping Hyperspace During Genetic Search: Canonical Delta Folding

Part 5: Genetic Operators and Their Analysis

Real-Coded Genetic Algorithms and Interval-Schemata

Genetic Set Recombination

Crossover or Mutation?

Simulated Crossover in Genetic Algorithms

Part 6: Machine Learning

Learning Boolean Functions with Genetic Algorithms: A PAC Analysis

Is the Genetic Algorithm a Cooperative Learner?

Hierarchical Automatic Function Definition in Genetic Programming

Author Index

Key Word Index

Description


Introduction

Part 1: Foundation Issues Revisited

Genetic Algorithms are Not Function Optimizers

Generation Gaps Revisited

Part 2: Modeling Genetic Algorithms

Recombination Distributions for Genetic Algorithms

An Executable Model of a Simple Genetic Algorithm

Modeling Simple Genetic Algorithms

Part 3: Deception and the Building Block Hypothesis

Deception Considered Harmful

Analyzing Deception in Trap Functions

Relative Building-Block Fitness and the Building Block Hypothesis

Part 4: Convergence and Genetic Diversity

Accounting for Noise in the Sizing of Populations

Population Diversity in an Immune System Model: Implications for Genetic Search

Remapping Hyperspace During Genetic Search: Canonical Delta Folding

Part 5: Genetic Operators and Their Analysis

Real-Coded Genetic Algorithms and Interval-Schemata

Genetic Set Recombination

Crossover or Mutation?

Simulated Crossover in Genetic Algorithms

Part 6: Machine Learning

Learning Boolean Functions with Genetic Algorithms: A PAC Analysis

Is the Genetic Algorithm a Cooperative Learner?

Hierarchical Automatic Function Definition in Genetic Programming

Author Index

Key Word Index

Details

No. of pages:
322
Language:
English
Copyright:
© Morgan Kaufmann 1993
Published:
Imprint:
Morgan Kaufmann
eBook ISBN:
9780080948324

About the Editors