Evolutionary Computation for Dynamic Optimization Problems

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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Opis bibliograficzny
1. autor: Yang, Shengxiang
Kolejni autorzy: Yao, Xin (Redaktor), Yang, Shengxiang, 19..- (Redaktor), Yao, Xin, 1962- (Redaktor)
Format: Livre numérique
Język:Anglais
Wydane: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Wydanie:1st ed. 2013.
Seria:Studies in Computational Intelligence 490
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Komentarz: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
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Edition sous un autre format:• Evolutionary Computation for Dynamic Optimization Problems, Texte imprimé, 9783642384158
• Evolutionary Computation for Dynamic Optimization Problems, Texte imprimé, 9783642384172
• Evolutionary Computation for Dynamic Optimization Problems, Texte imprimé, 9783642448430
• Evolutionary Computation for Dynamic Optimization Problems, Texte imprimé, 9783642384158
Opis
Streszczenie: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
Deskrypcja:Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ISBN:9783642384165
ISSN:1860-9503
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