Evolutionary Computation

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

Overview

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 Com

Product Details

ISBN-13:	9781040213421
Publisher:	CRC Press
Publication date:	06/22/2000
Series:	International Series on Computational Intelligence
Sold by:	Barnes & Noble
Format:	eBook
Pages:	424
File size:	730 KB

About the Author

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

Table of Contents

Principles of Evolutionary Computation Genetic Algorithms Basic Selection Schemes in Evolutionary Algorithms Selection Based on Scaling and Ranking Mechanisms Further Selection Strategies Recombination Operators within Binary Encoding Mutation and other Search Operators Schema Theorem, Building Blocks and Related Topics Real-valued Encoding Hybridization, Parameter Setting and Adaptation Adaptive Representations: Messy Genetic Algorithms, Delta Coding and Diploidic Representation Evolution Strategies and Evolutionary Programming Population Models and Parallel Implementations Genetic Programming Learning Classifier Systems Applications of Evolutionary Computation

Editorial Reviews

A presentation of the main ideas, models, and algorithms of a field of artificial intelligence known as evolutionary computation. The method uses a metaphor of biological reproduction and selection to evolve a population of candidate (potential) solutions to a given problem. Coverage includes binary and real-valued encoding, including selection, crossover, and mutation, as well as applications such as decision strategy selection, training and design of neural networks, approaches to pattern recognition, and cellular automata. Annotation c. Book News, Inc., Portland, OR (booknews.com)

Booknews

"…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 strategies…Anyone interested in optimization or search problems can find useful ideas, methods, and algorithms."
- Journal of Chemometrics, 2002

From the Publisher