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Genetic Algorithms in Search, Optimization, and Machine Learning

Download or Read eBook Genetic Algorithms in Search, Optimization, and Machine Learning PDF written by David Edward Goldberg and published by Addison-Wesley Professional. This book was released on 1989 with total page 436 pages. Available in PDF, EPUB and Kindle.
Genetic Algorithms in Search, Optimization, and Machine Learning
Author :
Publisher : Addison-Wesley Professional
Total Pages : 436
Release :
ISBN-10 : UOM:39015023852034
ISBN-13 :
Rating : 4/5 (34 Downloads)

Book Synopsis Genetic Algorithms in Search, Optimization, and Machine Learning by : David Edward Goldberg

Book excerpt: A gentle introduction to genetic algorithms. 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. A review of combinatorics and elementary probability. Pascal with random number generation for fortran, basic, and cobol programmers. A simple genetic algorithm (SGA) in pascal. A simple classifier system(SCS) in pascal. Partition coefficient transforms for problem-coding analysis.


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