Practical Genetic Algorithms

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John Wiley & Sons, Jul 30, 2004 - Technology & Engineering - 272 pages
2 Reviews
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]

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


1 Introduction to Optimization
2 The Binary Genetic Algorithm
3 The Continuous Genetic Algorithm
4 Basic Applications
5 An Added Level of Sophistication
6 Advanced Applications
7 More Natural Optimization Algorithms
Appendix I Test Functions
Appendix II MATLAB Code
Appendix III HighPerformance Fortran Code

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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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