Evolutionary Computation

1st Edition

D. Dumitrescu, Beatrice Lazzerini, Lakhmi C. Jain, A. Dumitrescu

CRC Press
Published June 22, 2000
Reference - 424 Pages
ISBN 9780849305887 - CAT# 0588
Series: International Series on Computational Intelligence

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Summary

Rapid advances in evolutionary computation have opened up a world of applications-a world rapidly growing and evolving. Decision making, neural networks, pattern recognition, complex optimization/search tasks, scheduling, control, automated programming, and cellular automata applications all rely on evolutionary computation.

Evolutionary Computation presents the basic principles of evolutionary computing: genetic algorithms, evolution strategies, evolutionary programming, genetic programming, learning classifier systems, population models, and applications. It includes detailed coverage of binary and real encoding, including selection, crossover, and mutation, and discusses the (m+l) and (m,l) evolution strategy principles. The focus then shifts to applications: decision strategy selection, training and design of neural networks, several approaches to pattern recognition, cellular automata, applications of genetic programming, and more.

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