Abstract
From the Publisher: This book brings together - in an informal and tutorial fashion - the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields. Major concepts are illustrated with running examples, and major algorithms are illustrated by Pascal computer programs. No prior knowledge of GAs or genetics is assumed, and only a minimum of computer programming and mathematics background is required.
Keywords
Computer scienceArtificial intelligenceMachine learningQuality control and genetic algorithmsAlgorithmGenetic algorithmMeta-optimization
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Publication Info
- Year
- 1989
- Type
- article
- Volume
- 27
- Issue
- 02
- Pages
- 27-0936
- Citations
- 49274
- Access
- Closed
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Cite This
(1989).
Genetic algorithms in search, optimization, and machine learning.
Choice Reviews Online
, 27
(02)
, 27-0936.
https://doi.org/10.5860/choice.27-0936
Identifiers
- DOI
- 10.5860/choice.27-0936