Genetic algorithms are founded upon the principle of evolution, i.e., survival of the fittest. Hence evolution programming techniques, based on genetic algorithms, are applicable to many hard optimization problems, such as optimization of functions with linear and nonlinear constraints, the travelin
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Genetic Algorithms + Data Structures = Evolution Programs
โ Scribed by Zbigniew Michalewicz
- Publisher
- Springer-Verlag
- Year
- 1998
- Tongue
- English
- Leaves
- 388
- Edition
- 3rd rev. and extended ed
- Category
- Library
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โฆ Synopsis
Zbigniew Michalewicz's Genetic Algorithms + Data Structures = Evolution Programs has three sections. The first section is a straightforward introduction to genetic algorithms. In the second section, Michalewicz describes how to apply genetic algorithms to numerical optimization. Michalewicz, who is a pioneer in this field, discusses the rationale for using genetic algorithms for numerical optimization and describes several experiments that show how this new type of genetic algorithm performs. The author devotes the third section of the book to evolution programs.
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