Practical Genetic Algorithms
John Wiley & Sons, Jul 30, 2004 - Technology & Engineering - 272 pages
* 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
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Bidding Strategy Based On Genetic Algorithm In Renewable Energy
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.
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