Evolutionary Constrained Optimization (37 results)

Hardcover. Condition: Wie neu. New book, remains sealed in plastic. Language - English. Ships from Berlin.

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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 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.

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 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.

Condition: New.

Condition: New. Editor(s): Datta, Rituparna; Deb, Kalyanmoy. Series: Infosys Science Foundation Series. Num Pages: 335 pages, 72 black & white illustrations, 39 colour illustrations, 39 black & white tables, biograp. BIC Classification: PBU; TGB; UYQ. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 18. Weight in Grams: 516. . 2016. Softcover reprint of the original 1st ed. 2015. Paperback. . . . .

Condition: New. pp. 319.

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Condition: As New. Unread book in perfect condition.

Taschenbuch. Condition: Neu. 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 GmbH, Tiergartenstr. 17, 69121 Heidelberg 336 pp. Englisch.

Buch. Condition: Neu. 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 GmbH, Tiergartenstr. 17, 69121 Heidelberg 336 pp. Englisch.

Condition: New. 336.

Condition: New. Evolutionary Constrained Optimization Editor(s): Datta, Rituparna; Deb, Kalyanmoy. Series: Infosys Science Foundation Series / Infosys Science Foundation Series in Applied Sciences and Engineering. Num Pages: 319 pages, 72 black & white illustrations, 39 colour illustrations, 39 black & white tables, biograp. BIC Classification: PBU; TGB; UYQ. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 19. Weight in Grams: 699. . 2014. 2015th Edition. Hardcover. . . . .

Paperback. Condition: Brand New. reprint edition. 336 pages. 9.25x6.10x0.79 inches. In Stock.

Hardcover. Condition: Brand New. 2015 edition. 319 pages. 9.25x6.25x1.00 inches. In Stock.

Condition: New. Editor(s): Datta, Rituparna; Deb, Kalyanmoy. Series: Infosys Science Foundation Series. Num Pages: 335 pages, 72 black & white illustrations, 39 colour illustrations, 39 black & white tables, biograp. BIC Classification: PBU; TGB; UYQ. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 18. Weight in Grams: 516. . 2016. Softcover reprint of the original 1st ed. 2015. Paperback. . . . . Books ship from the US and Ireland.

Condition: New.

Condition: New.

Paperback. Condition: new. Paperback. 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. This book makes available a self-contained collection of modern research addressing the general constrained optimization problems using evolutionary algorithms. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardcover. Condition: new. Hardcover. 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. This book makes available a self-contained collection of modern research addressing the general constrained optimization problems using evolutionary algorithms. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condition: New. Evolutionary Constrained Optimization Editor(s): Datta, Rituparna; Deb, Kalyanmoy. Series: Infosys Science Foundation Series / Infosys Science Foundation Series in Applied Sciences and Engineering. Num Pages: 319 pages, 72 black & white illustrations, 39 colour illustrations, 39 black & white tables, biograp. BIC Classification: PBU; TGB; UYQ. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 19. Weight in Grams: 699. . 2014. 2015th Edition. Hardcover. . . . . Books ship from the US and Ireland.

Paperback. Condition: new. Paperback. 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. This book makes available a self-contained collection of modern research addressing the general constrained optimization problems using evolutionary algorithms. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Hardcover. Condition: new. Hardcover. 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. This book makes available a self-contained collection of modern research addressing the general constrained optimization problems using evolutionary algorithms. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

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 capability of bridging the gap between .