Evolutionary Intelligence: An Introduction to Theory and Applications with Matlab

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Springer Science & Business Media, 15 мая 2008 г. - Всего страниц: 584

This book provides a highly accessible introduction to evolutionary computation. It details basic concepts, highlights several applications of evolutionary computation, and includes solved problems using MATLAB software and C/C++. This book also outlines some ideas on when genetic algorithms and genetic programming should be used. The most difficult part of using a genetic algorithm is how to encode the population, and the author discusses various ways to do this.

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Introduction to Evolutionary Computation
1
Summary
30
Principles of Evolutionary Algorithms
31
Genetic Algorithms with Matlab
77
NonConvex Function
132
Genetic Programming Concepts
171
Parallel Genetic Algorithms
219
Applications of Evolutionary Algorithms
249
Genetic Programming Applications
367
Applications of Parallel Genetic Algorithm
445
Appendix A Glossary
503
Appendix B Abbreviations
517
Programming Based on a New Constrainthandling Scheme
530
Appendix D MATLAB Toolboxes
533
Appendix F Ga Source Codes in C Language
547
Appendix G EC ClassCode Libraries and Software Kits
559

with Evolutionary Algorithms
282
Applications of Genetic Algorithms
297

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