Genetic Algorithms in Search, Optimization, and Machine Learning
Author:   David E. Goldberg
Publisher:   Pearson Education (US)
Edition:   13th ed.
ISBN:  

9780201157673


Pages:   432
Publication Date:   01 January 1989
Format:   Hardback
Availability:   In Print   Availability explained
Limited stock is available. It will be ordered for you and shipped pending supplier's limited stock.

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Genetic Algorithms in Search, Optimization, and Machine Learning


Overview

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.

Full Product Details

Author:   David E. Goldberg
Publisher:   Pearson Education (US)
Imprint:   Addison Wesley
Edition:   13th ed.
Dimensions:   Width: 19.60cm , Height: 2.30cm , Length: 24.30cm
Weight:   0.870kg
ISBN:  

9780201157673


ISBN 10:   0201157675
Pages:   432
Publication Date:   01 January 1989
Audience:   College/higher education ,  Tertiary & Higher Education
Format:   Hardback
Publisher's Status:   Out of Print
Availability:   In Print   Availability explained
Limited stock is available. It will be ordered for you and shipped pending supplier's limited stock.

Table of Contents

Genetic Algorithms Revisited: Mathematical Foundations. Computer Implementation of a Genetic Algorithm. Some Applications of Genetic Algorithms. Advanced Operators and Techniques in Genetic Search. Introduction to Genetics-Based Machine Learning. Applications of Genetics-Based Machine Learning. A Look Back, A Glance Ahead. Appendixes.

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