Editors:
- Compilation on the state-of-the-art of evolutionary computation for dynamic optimization problems
- Valuable reference book for the domain of Evolutionary Computation for Dynamic Optimization Problems in particular and Computational Intelligence in general
- Written by leading experts in the field
Part of the book series: Studies in Computational Intelligence (SCI, volume 490)
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Table of contents (17 papers)
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Front Matter
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Algorithm Design
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Front Matter
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Theoretical Analysis
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Front Matter
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About this book
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.
Editors and Affiliations
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, School of Computer Science and Informati, De Montfort University, Leicester, United Kingdom
Shengxiang Yang
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, School of Computer Science, University of Birmingham, Birmingham, United Kingdom
Xin Yao
Bibliographic Information
Book Title: Evolutionary Computation for Dynamic Optimization Problems
Editors: Shengxiang Yang, Xin Yao
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-642-38416-5
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2013
Hardcover ISBN: 978-3-642-38415-8Published: 28 May 2013
Softcover ISBN: 978-3-642-44843-0Published: 20 June 2015
eBook ISBN: 978-3-642-38416-5Published: 18 November 2013
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XXVIII, 470