Handbook of Nature-inspired Optimization Algorithms - the State of the Art: Solving Constrained Single Objective Real-parameter Optimization Problems (2) - Rilegato

9783031075155: Handbook of Nature-inspired Optimization Algorithms - the State of the Art: Solving Constrained Single Objective Real-parameter Optimization Problems (2)

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ISBN 10: 3031075153 ISBN 13: 9783031075155

Casa editrice: Springer Nature, 2022

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EditoreSpringer Nature
Data di pubblicazione2022
ISBN 10 3031075153
ISBN 13 9783031075155
RilegaturaCopertina rigida
LinguaInglese
Numero edizione1
Numero di pagine224
RedattoreMohamed Ali, Oliva Diego, Suganthan Ponnuthurai Nagaratnam

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9783031075186: Handbook of Nature-Inspired Optimization Algorithms: The State of the Art: Volume II: Solving Constrained Single Objective Real-Parameter Optimization Problems: 2

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ISBN 10: 3031075188 ISBN 13: 9783031075186
Casa editrice: Springer, 2023
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Springer, 2022 (Brossura)

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Handbook of Nature-Inspired Optimization Algorithms: The State of the Art

Editore: Springer, Berlin|Springer International Publishing|Springer, 2022

ISBN 10: 3031075153 ISBN 13: 9783031075155

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Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book presents recent contributions and significant development, advanced issues, and challenges. In real-world problems and applications, most of the optimization problems involve different types of constraints. These problems are called constrained. Codice articolo 585900178

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Handbook of Nature-Inspired Optimization Algorithms: The State of the Art

Ali Wagdy Mohamed

Editore: Springer International Publishing Sep 2022, 2022

ISBN 10: 3031075153 ISBN 13: 9783031075155

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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania

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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents recent contributions and significant development, advanced issues, and challenges. In real-world problems and applications, most of the optimization problems involve different types of constraints. These problems are called constrained optimization problems (COPs). The optimization of the constrained optimization problems is considered a challenging task since the optimum solution(s) must be feasible. In their original design, evolutionary algorithms (EAs) are able to solve unconstrained optimization problems effectively. As a result, in the past decade, many researchers have developed a variety of constraint handling techniques, incorporated into (EAs) designs, to counter this deficiency.The main objective for this book is to make available a self-contained collection of modern research addressing the general constrained optimization problems in many real-world applications using nature-inspired optimization algorithms. This book is suitable for a graduate class on optimization, but will also be useful for interested senior students working on their research projects. 224 pp. Englisch. Codice articolo 9783031075155

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Handbook of Nature-Inspired Optimization Algorithms: The State of the Art : Volume II: Solving Constrained Single Objective Real-Parameter Optimization Problems

Ali Wagdy Mohamed

Editore: Springer International Publishing, 2022

ISBN 10: 3031075153 ISBN 13: 9783031075155

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Da: AHA-BUCH GmbH, Einbeck, Germania

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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents recent contributions and significant development, advanced issues, and challenges. In real-world problems and applications, most of the optimization problems involve different types of constraints. These problems are called constrained optimization problems (COPs). The optimization of the constrained optimization problems is considered a challenging task since the optimum solution(s) must be feasible. In their original design, evolutionary algorithms (EAs) are able to solve unconstrained optimization problems effectively. As a result, in the past decade, many researchers have developed a variety of constraint handling techniques, incorporated into (EAs) designs, to counter this deficiency.The main objective for this book is to make available a self-contained collection of modern research addressing the general constrained optimization problems in many real-world applications using nature-inspired optimization algorithms. This book is suitable for a graduateclass on optimization, but will also be useful for interested senior students working on their research projects. Codice articolo 9783031075155

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