Evolutionary Computation

Name: Evolutionary Computation
Brand: ST LUCIE PR
Price: 473.75 AUD
Availability: BackOrder

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

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Hardcover | 22 June 2000 | Edition Number 1

At a Glance

Hardcover
420 Pages

Dimensions(cm)
23.4 x 15.6 x 2.54

Hardcover

RRP $557.00

$473.75

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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.

Industry Reviews

"offers a presentation of the main ideas, models, and algorithms of evolutionary computation. Anyone who is inspired by the work of L. Davis or D.E. Goldberg to use evolutionary computation as a tool in hos/her daily work will find a complete overview of techniques and strategiesAnyone interested in optimization or search problems can find useful ideas, methods, and algorithms." - Journal of Chemometrics, 2002

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