Items related to Genetic Algorithms + Data Structures = Evolution Programs
Synopsis
I. Genetic Algorithms.- 1 GAs: What Are They?.- 2 GAs: How Do They Work?.- 3 GAs: Why Do They Work?.- 4 GAs: Selected Topics.- II. Numerical Optimization.- 5 Binary or Float?.- 6 Fine Local Tuning.- 7 Handling Constraints.- 8 Evolution Strategies and Other Methods.- III. Evolution Programs.- 9 The Transportation Problem.- 10 The Traveling Salesman Problem.- 11 Drawing Graphs, Scheduling, Partitioning, and Path Planning.- 12 Machine Learning.- Conclusions.- References.
...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....
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- PublisherSpringer
- Publication date2014
- ISBN 10 3662074192
- ISBN 13 9783662074190
- BindingPaperback
- LanguageEnglish
- Number of pages360
- Rating
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