Items related to Genetic Algorithms + Data Structures = Evolution Programs
Synopsis
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 traveling salesman problem, and problems of scheduling, partitioning, and control. The importance of these techniques is still growing, since evolution programs are parallel in nature, and parallelism is one of the most promising directions in computer science.
The book is self-contained and the only prerequisite is basic undergraduate mathematics. This third edition has been substantially revised and extended by three new chapters and by additional appendices containing working material to cover recent developments and a change in the perception of evolutionary computation.
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Review
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.
"About this title" may belong to another edition of this title.
- PublisherSpringer
- Publication date1996
- ISBN 10 3540606769
- ISBN 13 9783540606765
- BindingHardcover
- LanguageEnglish
- Edition number3
- Number of pages407
- Rating
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Springer Berlin / Heidelberg, 1996
ISBN 10: 3540606769
ISBN 13: 9783540606765
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