Evolutionary Computation in Dynamic and Uncertain Environments / Edition 1

Evolutionary Computation in Dynamic and Uncertain Environments / Edition 1

by Shengxiang Yang
     
 

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ISBN-10: 3642080650

ISBN-13: 9783642080654

Pub. Date: 11/25/2010

Publisher: Springer Berlin Heidelberg

This book provides a compilation on the state-of-the-art and recent advances of evolutionary algorithms in dynamic and uncertain environments within a unified framework. The motivation for this book arises from the fact that some degree of uncertainty in characterizing any realistic engineering systems is inevitable. Representative methods for addressing major

Overview

This book provides a compilation on the state-of-the-art and recent advances of evolutionary algorithms in dynamic and uncertain environments within a unified framework. The motivation for this book arises from the fact that some degree of uncertainty in characterizing any realistic engineering systems is inevitable. Representative methods for addressing major sources of uncertainties in evolutionary computation, including handle of noisy fitness functions, use of approximate fitness functions, search for robust solutions, and tracking moving optimums, are presented. "Evolutionary Computation in Dynamic and Uncertain Environments" is a valuable reference for scientists, researchers, professionals and students in the field of engineering and science, particularly in the areas of computational intelligence, natural computing and evolutionary computation.

Product Details

ISBN-13:
9783642080654
Publisher:
Springer Berlin Heidelberg
Publication date:
11/25/2010
Series:
Studies in Computational Intelligence Series, #51
Edition description:
Softcover reprint of hardcover 1st ed. 2007
Pages:
605
Product dimensions:
6.10(w) x 9.25(h) x 0.36(d)

Table of Contents

Part I Optimum Tracking in Dynamic Environments.- Part II Approximation of Fitness Functions.- Part III Handling Noisy Fitness Functions.- Part IV Search for Robust Solutions.

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