Téléchargez le livre : Evolutionary Constrained Optimization

Evolutionary Constrained Optimization

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Éditeur :

Springer


Collection :

Infosys Science Foundation Series

Paru le : 2014-12-13

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Description
This book makes available a self-contained collection of modern research addressing the general constrained optimization problems using evolutionary algorithms. Broadly the topics covered include constraint handling for single and multi-objective optimizations; penalty function based methodology; multi-objective based methodology; new constraint handling mechanism; hybrid methodology; scaling issues in constrained optimization; design of scalable test problems; parameter adaptation in constrained optimization; handling of integer, discrete and mix variables in addition to continuous variables; application of constraint handling techniques to real-world problems; and constrained optimization in dynamic environment. There is also a separate chapter on hybrid optimization, which is gaining lots of popularity nowadays due to its capability of bridging the gap between evolutionary and classical optimization. The material in the book is useful to researchers, novice, and experts alike. The book will also be useful for classroom teaching and future research.
Pages
319 pages
Collection
Infosys Science Foundation Series
Parution
2014-12-13
Marque
Springer
EAN papier
9788132221838
EAN EPUB
9788132221845
Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
31
Taille du fichier
5130 Ko
Prix
94,94 €

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