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Genetic Algorithms

Concepts and Designs

  • K. F. Man
  • K. S. Tang
  • S. Kwong

Table of contents

  1. Front Matter
    Pages i-xii
  2. K. F. Man, K. S. Tang, S. Kwong
    Pages 1-21
  3. K. F. Man, K. S. Tang, S. Kwong
    Pages 23-44
  4. K. F. Man, K. S. Tang, S. Kwong
    Pages 45-63
  5. K. F. Man, K. S. Tang, S. Kwong
    Pages 65-74
  6. K. F. Man, K. S. Tang, S. Kwong
    Pages 75-131
  7. K. F. Man, K. S. Tang, S. Kwong
    Pages 133-153
  8. K. F. Man, K. S. Tang, S. Kwong
    Pages 155-197
  9. K. F. Man, K. S. Tang, S. Kwong
    Pages 199-257
  10. K. F. Man, K. S. Tang, S. Kwong
    Pages 259-280
  11. K. F. Man, K. S. Tang, S. Kwong
    Pages 281-315
  12. Back Matter
    Pages 317-344

About this book

Introduction

The practical application of genetic algorithms to the solution of engineering problems, has rapidly become an established approach in the fields of control and signal processing. Genetic Algorithms provides comprehensive coverage of the techniques involved, describing the intrinsic characteristics, advantages and constraints of genetic algorithms, as well as discussing genetic operations such as crossover, mutation and reinsertion. In addition, the principle of multiobjective optimization and computing parallelism are discussed. The use of genetic algorithms in many areas of interest in control and signal processing is detailed; among the areas of application are:

• filtering;

H-infinity control;

• speech recognition;

• production planning and scheduling;

• computational intelligence; and

• communication systems.

Also described is an original hierarchical genetic algorithm designed to address the problems in determining system topology.

The authors provide "A Game of Genetic Creatures", a fundamental study for GA based on computer-generated insects to demonstrate some of the ideas developed in the text as a download available from www.springer.com/1-85233-072-4.

 

This superb book is suitable for readers from a wide range of disciplines.

Assembly Automation

This is a well-written engineering textbook. Genetic algorithms are properly explained and well motivated. The engineering examples illustrate the power of application of genetic algorithms.

Journal of the American Statistical Association

The book is a good contribution to the genetic algorithm area from an applied point of view. It should be read by engineers, undergraduate or postgraduate students and researchers.

International Journal of Adaptive Control and Signal Processing

Keywords

Text algorithms development fuzzy hidden markov model logic model multi-objective optimization optimization

Authors and affiliations

  • K. F. Man
    • 1
  • K. S. Tang
    • 1
  • S. Kwong
    • 1
  1. 1.City University of Hong KongKowloon, Hong KongChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4471-0577-0
  • Copyright Information Springer-Verlag London Limited 1999
  • Publisher Name Springer, London
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-85233-072-9
  • Online ISBN 978-1-4471-0577-0
  • Series Print ISSN 1439-2232
  • Series Online ISSN 2510-3814
  • Buy this book on publisher's site
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