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Evolutionary Computation: Principles and Practice for Signal Processing

Name: Evolutionary Computation: Principles and Practice for Signal Processing
Author: David B. Fogel
ISBN: 9780819437259

by David B. Fogel

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Overview

Evolutionary computation is one of the fastest growing areas of computer science, partly because of its broad applicability to engineering problems. The methods can be applied to problems as diverse as supply-chain optimization, routing and planning, task assignment, pharmaceutical design, interactive gaming, and many others within the signal processing domain. The book is an outgrowth of successful SPIE short courses taught by the author. The examples span a range of applications and should be useful to a variety of readers with different backgrounds and expertise.

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Provides explanations and examples of the application of evolutionary algorithms to problems in the area of signal processing, including system identification, time series prediction, clustering, and classification. The problem of evolving control systems in light of limited information about the target plant is also treated. The last chapter discusses the limitations of previous approaches to describe and analyze evolutionary algorithms in terms of mathematical theory. Annotation c. Book News, Inc., Portland, OR (booknews.com)