This book describes the theory, operation, and application of genetic algorithms-search algorithms based on the mechanics of natural ion and genetics.

Table of Content

• Foreword
• Preface
• A Gentle Introduction to Genetic Algorithms
• Genetic Algorithms Revisited: Mathematical Foundations
• Computer Implementation of a Genetic Algorithm
• Some Applications of Genetic Algorithms
• Advanced Operators and Techniques in Genetic Search
• Introduction to Genetics-Based Machine Learning
• Applications of Genetics-Based Machine Learning
• A Look Back, A Glance Ahead
• Appendices:
• A Review of Combinatorics and Elementary Probability
• Pascal with Random Number Generation for Fortran, Basic, and Cobol Programmers
• A Simple Genetic Algorithm
• A Simple Classifier System (SCS) in PASCAL
• Partition Coefficient Transforms for Problems-Coding Analysis
• Bibliography
• Index