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
View full details
