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Designing Evolutionary Algorithms for Dynamic Environments : Natural Computing - Ronald W. Morrison

Designing Evolutionary Algorithms for Dynamic Environments

Natural Computing

Hardcover Published: 15th June 2004
ISBN: 9783540212317
Number Of Pages: 149

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The robust capability of Evolutionary Algorithms (EAs) to find solutions to difficult problems has permitted them to become the optimization and search techniques of choice for many practical static problems. Despite this success in many different environments, EAs are often prone to failure when subjected to even small changes in the problem. Effective solutions for many real-world engineering and economic problems require systems that adapt to changes over time. This book addresses the issues involved in the design of EAs that successfully operate in dynamic environments without human intervention, and provides a method for creating EAs for these environments.

From the reviews:

"This book is a monograph explaining the research performed by the author in the field of dynamic search algorithms. ... Overall, the work is presented in a clear manner and gives a useful introduction to what is likely to be a major area of development in the field of evolutionary algorithms. I would definitely recommend the book to all workers in this field who want a clear but rapid overview ... ." (G. F. Page, Robotica, Vol. 24, 2006)

Introduction
Problem Analysis
Solutions from Nature and Engineering
Diversity Measurement
A New EA for Dynamic Problems
Experimental Methods
Performance Measurement
Analysis and Interpretation of Experimental Results
Experimental Results for Population Initialization
Summary and Conclusion
Notation
References
Index
Table of Contents provided by Publisher. All Rights Reserved.

ISBN: 9783540212317
ISBN-10: 3540212310
Series: Natural Computing
Audience: Professional
Format: Hardcover
Language: English
Number Of Pages: 149
Published: 15th June 2004
Publisher: SPRINGER VERLAG GMBH
Country of Publication: DE
Dimensions (cm): 24.03 x 16.0  x 1.42
Weight (kg): 0.37