Practical Genetic Algorithms (Google eBook)

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John Wiley & Sons, Jul 30, 2004 - Technology & Engineering - 272 pages
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This book deals with the fundamentals of genetic algorithms and their applications in a variety of different areas of engineering and science Most significant update to the second edition is the MATLAB codes that accompany the text Provides a thorough discussion of hybrid genetic algorithms Features more examples than first edition Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.
  

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A dificulty with optimization is determining if a given minimum is the best (global) minimum or a suboptimal one (local).
Finding the min. of a nonlinear fct. is especially difficult. Typical
approaches to highly nonlinear problems involve either linearizing the problem in a very confined region or restricting the opimization to a small region. In short, we cheat. 

Review: Practical Genetic Algorithms [With CDROM]

User Review  - Atheer - Goodreads

Useful book with easy to digest approach to GA. helped me to understand the GA toolbox in Matlab Read full review

Contents

1 Introduction to Optimization
1
2 The Binary Genetic Algorithm
27
3 The Continuous Genetic Algorithm
51
4 Basic Applications
67
5 An Added Level of Sophistication
95
6 Advanced Applications
151
7 More Natural Optimization Algorithms
187
Appendix I Test Functions
205
Appendix II MATLAB Code
211
Appendix III HighPerformance Fortran Code
233
Glossary
243
Index
251
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About the author (2004)

RANDY L. HAUPT, PhD, is Department Head and Senior Scientist at The Pennsylvania State University Applied Research Laboratory, State College, Pennsylvania.

SUE ELLEN HAUPT, PhD, is a Senior Research Associate in the Computational Mechanics Division of The Pennsylvania State University Applied Research Laboratory, State College, Pennsylvania.
Both Randy and Sue Ellen Haupt are renowned experts in the field of genetic algorithms in engineering and science applications.

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