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More copies of this ISBN:Genetic Algorithms in Search, Optimization, and Machine Learningby David E. Goldberg
Synopses & ReviewsPublisher Comments: 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. 0201157675B07092001 Synopsis:This text introduces the theory, operation, and application of genetic algorithms- search algorithms based on the mechanics of natural selection and genetics. Although genetic algorithms are already considered to be an important methodology in the development of search and machine-learning methods, only recently have they received attention in other research and industrial circles.
Description:Includes bibliographical references (p. [381]-401). 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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