Evolutionary Constrained Optimization (29 results)
Language: English
Published by Springer 2014
Series: Infosys Science Foundation, Book 2 of 38. Book 2 of 38 - Infosys Science Foundation
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Language: English
Published by Springer 2016
Series: Infosys Science Foundation, Book 2 of 38. Book 2 of 38 - Infosys Science Foundation
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Published by Springer 2014
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Published by Springer 2016
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Published by Springer 2016
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Condition: New. pp. 319.
Language: English
Published by Springer 2016
Series: Infosys Science Foundation, Book 2 of 38. Book 2 of 38 - Infosys Science Foundation
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Language: English
Published by Springer 2014
Series: Infosys Science Foundation, Book 2 of 38. Book 2 of 38 - Infosys Science Foundation
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Language: English
Published by Springer 2014
Series: Infosys Science Foundation, Book 2 of 38. Book 2 of 38 - Infosys Science Foundation
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Hardcover. Condition: Brand New. 2015 edition. 319 pages. 9.25x6.25x1.00 inches. In Stock.
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Published by Springer 2016
Series: Infosys Science Foundation, Book 2 of 38. Book 2 of 38 - Infosys Science Foundation
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Taschenbuch. Condition: Neu. Evolutionary Constrained Optimization | Rituparna Datta (u. a.) | Taschenbuch | Infosys Science Foundation Series | xvi | Englisch | 2016 | Springer | EAN 9788132235057 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot…]com | Anbieter: preigu.
Language: English
Published by Springer India, Springer India 2014
Series: Infosys Science Foundation, Book 2 of 38. Book 2 of 38 - Infosys Science Foundation
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 optimiza…tions; 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.
Language: English
Published by Springer, Springer 2016
Series: Infosys Science Foundation, Book 2 of 38. Book 2 of 38 - Infosys Science Foundation
- Softcover
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 o…ptimizations; 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.
Language: English
Published by Springer-Verlag New York Inc 2016
Series: Infosys Science Foundation, Book 2 of 38. Book 2 of 38 - Infosys Science Foundation
- Softcover
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Paperback. Condition: Brand New. reprint edition. 336 pages. 9.25x6.10x0.79 inches. In Stock.
Language: English
Published by Springer India 2016
Series: Infosys Science Foundation, Book 2 of 38. Book 2 of 38 - Infosys Science Foundation
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Condition: Sehr gut. Zustand: Sehr gut | Seiten: 336 | Sprache: Englisch | Produktart: Bücher | 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 mul…ti-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.
Language: English
Published by Springer 2014
Series: Infosys Science Foundation, Book 2 of 38. Book 2 of 38 - Infosys Science Foundation
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Published by Springer 2016
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Language: English
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Language: English
Published by Springer 2016
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Published by Springer 2014
Series: Infosys Science Foundation, Book 2 of 38. Book 2 of 38 - Infosys Science Foundation
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Language: English
Published by Springer 2016
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Language: English
Published by Springer India Dez 2014 2014
Series: Infosys Science Foundation, Book 2 of 38. Book 2 of 38 - Infosys Science Foundation
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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-ob…jective 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. 336 pp. Englisch.
Language: English
Published by Springer India Aug 2016 2016
Series: Infosys Science Foundation, Book 2 of 38. Book 2 of 38 - Infosys Science Foundation
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 m…ulti-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. 336 pp. Englisch.
Language: English
Published by Springer 2016
Series: Infosys Science Foundation, Book 2 of 38. Book 2 of 38 - Infosys Science Foundation
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Condition: New. Print on Demand pp. 319.
Language: English
Published by Springer India 2014
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Self-contained collection of current research addressing the general constrained optimization problemsContains specific chapter on hybrid optimization, which is gaining lots of popularity nowadays due to its capabilit…y of bridging the gap between .
Language: English
Published by Springer India 2016
Series: Infosys Science Foundation, Book 2 of 38. Book 2 of 38 - Infosys Science Foundation
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Self-contained collection of current research addressing the general constrained optimization problemsContains specific chapter on hybrid optimization, which is gaining lots of popularity nowadays due to its capabilit…y of bridging the gap between .
Language: English
Published by Springer 2016
Series: Infosys Science Foundation, Book 2 of 38. Book 2 of 38 - Infosys Science Foundation
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Condition: New. PRINT ON DEMAND pp. 319.
Language: English
Published by Springer 2014
Series: Infosys Science Foundation, Book 2 of 38. Book 2 of 38 - Infosys Science Foundation
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Published by Springer, Springer Aug 2016 2016
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 336 pp. Englisch.
Language: English
Published by Springer, Springer Dez 2014 2014
Series: Infosys Science Foundation, Book 2 of 38. Book 2 of 38 - Infosys Science Foundation
- Hardcover
- Print on Demand
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Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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-object…ive 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 336 pp. Englisch.
