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Genetic Algorithm in search, optimization and Machine Learning
The text introduces the theory, operation, and application of genetic algorithms----search algorithms based on the mechanics of natural selection and genetics. This book, suitable for both course work and self-study, brings together for the first time, in an informal, tutorial fashion, the computer...
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| Format: | Printed Book |
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Delhi
Pearson Education
1989
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| LEADER | 01359nam a2200157Ia 4500 | ||
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| 999 | |c 26821 |d 26821 | ||
| 020 | |a 817808130-x | ||
| 082 | |a 006.3'1 GOL-G | ||
| 100 | |a David Edward Goldberg | ||
| 245 | |a Genetic Algorithm in search, optimization and Machine Learning | ||
| 260 | |a Delhi |b Pearson Education |c 1989 | ||
| 300 | |a 412 pages | ||
| 520 | |a The text introduces the theory, operation, and application of genetic algorithms----search algorithms based on the mechanics of natural selection and genetics. This book, suitable for both course work and self-study, brings together for the first time, in an informal, 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: programmers, scientists, engineers, mathematicians, statisticians and management scientists will all find interesting possibilities here. Major concepts are illustrated with running examples, and major algorithms are illustrated by Pascal computer programs. Chapter concludes with exercises and computer assignments. No prior knowledge of Gas or genetics is assumed. | ||
| 650 | |a Genetic algorithms. Machine learning. | ||
| 942 | |c BK | ||
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