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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...

Täydet tiedot

Bibliografiset tiedot
Päätekijä: David Edward Goldberg
Aineistotyyppi: Printed Book
Julkaistu: Delhi Pearson Education 1989
Aiheet:
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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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