Isbn: 9783031075186 - handbook of nature-inspired optimization algorithms: the state of the art: volume ii: solving constrained single objective real-parameter optimization problems: 2 (9 risultati)

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      Taschenbuch. Condizione: Neu. Handbook of Nature-Inspired Optimization Algorithms: The State of the Art | Volume II: Solving Constrained Single Objective Real-Parameter Optimization Problems | Ali Wagdy Mohamed (u. a.) | Taschenbuch | Studies in Systems, Decision and Control | x | Englisch | 2023 | Springer | EAN 9783031075186 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

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      Paperback. Condizione: Brand New. 224 pages. 9.25x6.10x0.48 inches. In Stock.

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      Taschenbuch. 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.

    • Lingua: Inglese

      Editore: Springer, 2023

      3031075188 / 9783031075186

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      Editore: Springer International Publishing Sep 2023, 2023

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      Taschenbuch. 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.

    • Lingua: Inglese

      Editore: Springer, Berlin|Springer International Publishing|Springer, 2023

      3031075188 / 9783031075186

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      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.

    • Lingua: Inglese

      Editore: Springer, Springer Sep 2023, 2023

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      Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. 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 graduateclass on optimization, but will also be useful for interested senior students working on their research projects.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 224 pp. Englisch.

    • Lingua: Inglese

      Editore: Springer, 2023

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      Condizione: New. PRINT ON DEMAND pp. 224.