Evolutionary Computation for Dynamic Optimization Problems edited by Shengxiang Yang, Xin Yao.

This book provides a compilation on the state-of-the-art and recent advances of evolutionary computation for dynamic optimization problems. The motivation for this book arises from the fact that many real-world optimization problems and engineering systems are subject to dynamic environments, where...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Yang, Shengxiang (Editor), Yao, Xin (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
Edition:1st ed. 2013.
Series:Studies in Computational Intelligence, 490
Springer eBook Collection.
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Online Access:Click to view e-book
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Description
Summary:This book provides a compilation on the state-of-the-art and recent advances of evolutionary computation for dynamic optimization problems. The motivation for this book arises from the fact that many real-world optimization problems and engineering systems are subject to dynamic environments, where changes occur over time. Key issues for addressing dynamic optimization problems in evolutionary computation, including fundamentals, algorithm design, theoretical analysis, and real-world applications, are presented. "Evolutionary Computation for Dynamic Optimization Problems" is a valuable reference to scientists, researchers, professionals and students in the field of engineering and science, particularly in the areas of computational intelligence, nature- and bio-inspired computing, and evolutionary computation.
Physical Description:XXVIII, 470 p. online resource.
ISBN:9783642384165
ISSN:1860-949X ;
DOI:10.1007/978-3-642-38416-5