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|a Evolutionary Computation for Dynamic Optimization Problems
|h [electronic resource] /
|c edited by Shengxiang Yang, Xin Yao.
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| 250 |
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|a 1st ed. 2013.
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| 264 |
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1 |
|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2013.
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| 300 |
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|a XXVIII, 470 p.
|b online resource.
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|a Studies in Computational Intelligence,
|x 1860-949X ;
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|a Springer eBook Collection
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|a Part I Fundamentals -- Part II Algorithm Design -- Part III Theoretical Analysis.
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| 520 |
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|a 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.
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|a Loaded electronically.
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|a Electronic access restricted to members of the Holy Cross Community.
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|a Computational intelligence.
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|a Artificial intelligence.
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| 690 |
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|a Electronic resources (E-books)
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|a Yang, Shengxiang.
|e editor.
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| 700 |
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|a Yao, Xin.
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