Evolutionary computation in dynamic and uncertain environments

This book provides a compilation on the state-of-the-art and recent advances of evolutionary algorithms in dynamic and uncertain environments within a unified framework. The motivation for this book arises from the fact that some degree of uncertainty in characterizing any realistic engineering syst...

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Bibliografiske detaljer
Andre forfattere: Yang, Shengxiang, 19..- (Directeur de la publication), Jin, Yaochu, 1966- (Directeur de la publication), Ong, Yew-Soon (Directeur de la publication)
Format: Livre numérique
Sprog:Anglais
Udgivet: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Udgivelse:1st ed. 2007.
Serier:Studies in Computational Intelligence 51
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Edition sous un autre format:• Evolutionary computation in dynamic and uncertain environments, Shengxiang Yang, Yew-Soon Ong, Yaochu Jin, (eds.), Berlin, Springer, 2007, 1 vol. (XXIII-605 p.), Studies in computational intelligence, 978-3-540-49772-1
• Evolutionary Computation in Dynamic and Uncertain Environments, Texte imprimé, 9783540833390
• Evolutionary Computation in Dynamic and Uncertain Environments, Texte imprimé, 9783642080654
• Evolutionary computation in dynamic and uncertain environments, Shengxiang Yang, Yew-Soon Ong, Yaochu Jin, (eds.), Berlin, Springer, 2007, 1 vol. (XXIII-605 p.), Studies in computational intelligence, 978-3-540-49772-1
Beskrivelse
Summary:This book provides a compilation on the state-of-the-art and recent advances of evolutionary algorithms in dynamic and uncertain environments within a unified framework. The motivation for this book arises from the fact that some degree of uncertainty in characterizing any realistic engineering systems is inevitable. Representative methods for addressing major sources of uncertainties in evolutionary computation, including handle of noisy fitness functions, use of approximate fitness functions, search for robust solutions, and tracking moving optimums, are presented. "Evolutionary Computation in Dynamic and Uncertain Environments" is a valuable reference for scientists, researchers, professionals and students in the field of engineering and science, particularly in the areas of computational intelligence, natural computing and evolutionary computation
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ISBN:9783540497745
ISSN:1860-9503
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