Genetic Algorithms in Search, Optimization, and Machine Learning

Edition: 1
Release: 1989-01-11
Publisher: Addison-Wesley Professional
Binding: Hardcover
ISBN/ASIN: 0201157675



Genetic Algorithms in Search, Optimization, and Machine Learning

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. Free download Genetic Algorithms in Search, Optimization, and Machine Learning books collection in PDF, EPUB, FB2, MOBI, and TXT formats. 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. 0201157675B07092001David Goldberg's Genetic Algorithms in Search, Optimization and Machine Learning is by far the bestselling introduction to genetic algorithms. Goldberg is one of the preeminent researchers in the field--he has published over 100 research articles on genetic algorithms and is a student of John Holland, the father of genetic algorithms--and his deep understanding of the material shines through. Best deals ebooks download Genetic Algorithms in Search, Optimization, and Machine Learning on amazon.The book contains a complete listing of a simple genetic algorithm in Pascal, which C programmers can easily understand. The book covers all of the important topics in the field, including crossover, mutation, classifier systems, and fitness scaling, giving a novice with a computer science background enough information to implement a genetic algorithm and describe genetic algorithms to a friend. Genetic Algorithms in Search, Optimization, and Machine Learning with free ebook downloads available via rapidshare, mediafire, 4shared, and hotfile.

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