Abstract
David Goldberg's Genetic Algorithms in Search, Optimization and Machine Learning is by far the bestselling introduction to genetic algorithms. Goldberg is one of the preeminent researchers in the field--he has published over 100 research articles on genetic algorithms and is a student of John Holland, the father of genetic algorithms--and his deep understanding of the material shines through. The book contains a complete listing of a simple genetic algorithm in Pascal, which C programmers can easily understand. The book covers all of the important topics in the field, including crossover, mutation, classifier systems, and fitness scaling, giving a novice with a computer science background enough information to implement a genetic algorithm and describe genetic algorithms to a friend.
Keywords
Pascal (unit)Computer scienceGenetic programmingGenetic algorithmMachine learningArtificial intelligenceQuality control and genetic algorithmsTheoretical computer scienceAlgorithmProgramming languageMeta-optimization
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Publication Info
- Year
- 1988
- Type
- book
- Citations
- 17750
- Access
- Closed
External Links
Citation Metrics
17750
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Cite This
David E. Goldberg
(1988).
Genetic Algorithms in Search, Optimization and Machine Learning.
.