Genetic algorithms in search, optimization, and machine learning / [by] David E. Goldberg.
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TextLanguage: English Publication details: Delhi : Pearson Education, c1989. Description: xiii, 412 p. : ill. ; 25 cmISBN: 0201157675Subject(s): Genetic algorithms | Machine learningDDC classification: 005.1 LOC classification: QA402.5 | .G635 1989Online resources: WorlCat details | Ebook Fulltext Summary: 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.
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Dr. S. R. Lasker Library, EWU E-book | Non-fiction | 005.1 GOG 1989 (Browse shelf(Opens below)) | Not for loan | ||||
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Dr. S. R. Lasker Library, EWU Reserve Section | Non-fiction | 005.1 GOG 1989 (Browse shelf(Opens below)) | C-1 | Not For Loan | 12390 | ||
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Dr. S. R. Lasker Library, EWU Circulation Section | Non-fiction | 005.1 GOG 1989 (Browse shelf(Opens below)) | C-2 | Available | 12391 | ||
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Dr. S. R. Lasker Library, EWU Circulation Section | Non-fiction | 005.1 GOG 1989 (Browse shelf(Opens below)) | C-3 | Available | 12392 | ||
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Dr. S. R. Lasker Library, EWU Circulation Section | Non-fiction | 005.1 GOG 1989 (Browse shelf(Opens below)) | C-4 | Available | 12393 | ||
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Dr. S. R. Lasker Library, EWU Circulation Section | Non-fiction | 005.1 GOG 1989 (Browse shelf(Opens below)) | C-5 | Available | 12394 |
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| 005.0133 GOJ 2002 JavaScript bible / | 005.1 COI 2009 Introduction to algorithms / | 005.1 GOA 2002 Algorithm design : | 005.1 GOG 1989 Genetic algorithms in search, optimization, and machine learning / | 005.1 HAA 1992 Algorithmics : | 005.1 HOC 1998 Computer algorithms / | 005.1 HOP 1997 Fundamentals of computer algorithms / |
Includes index.
Bibliography: p. [381]-401.
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.
CSE MPS
Tahur Ahmed
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