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Verlag: Elsevier Science & Technology, 2023
ISBN 10: 0323953654 ISBN 13: 9780323953658
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Sprache: Englisch
Verlag: Elsevier Science and Technology, GB, 2023
ISBN 10: 0323953654 ISBN 13: 9780323953658
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In den WarenkorbPaperback. Zustand: New. Handbook of Whale Optimization Algorithm: Variants, Hybrids, Improvements, and Applications provides the most in-depth look at an emerging meta-heuristic that has been widely used in both science and industry. Whale Optimization Algorithm has been cited more than 5000 times in Google Scholar, thus solving optimization problems using this algorithm requires addressing a number of challenges including multiple objectives, constraints, binary decision variables, large-scale search space, dynamic objective function, and noisy parameters to name a few. This handbook provides readers with in-depth analysis of this algorithm and existing methods in the literature to cope with such challenges. The authors and editors also propose several improvements, variants and hybrids of this algorithm. Several applications are also covered to demonstrate the applicability of methods in this book.
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In den WarenkorbKartoniert / Broschiert. Zustand: New. Provides in-depth analysis of equations, mathematical models and mechanisms of the Whale Optimization Algorithm Proposes different variants of the Whale Optimization Algorithm to solve binary, multiobjective, noisy, dynamic and combinatori.
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In den WarenkorbPaperback. Zustand: Brand New. 300 pages. 10.75x8.25x1.25 inches. In Stock.
Sprache: Englisch
Verlag: Elsevier Science and Technology, GB, 2023
ISBN 10: 0323953654 ISBN 13: 9780323953658
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In den WarenkorbPaperback. Zustand: New. Handbook of Whale Optimization Algorithm: Variants, Hybrids, Improvements, and Applications provides the most in-depth look at an emerging meta-heuristic that has been widely used in both science and industry. Whale Optimization Algorithm has been cited more than 5000 times in Google Scholar, thus solving optimization problems using this algorithm requires addressing a number of challenges including multiple objectives, constraints, binary decision variables, large-scale search space, dynamic objective function, and noisy parameters to name a few. This handbook provides readers with in-depth analysis of this algorithm and existing methods in the literature to cope with such challenges. The authors and editors also propose several improvements, variants and hybrids of this algorithm. Several applications are also covered to demonstrate the applicability of methods in this book.
Sprache: Englisch
Verlag: Elsevier Science & Technology Nov 2023, 2023
ISBN 10: 0323953654 ISBN 13: 9780323953658
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Taschenbuch. Zustand: Neu. Neuware - Handbook of Whale Optimization Algorithm: Variants, Hybrids, Improvements, and Applications provides the most in-depth look at an emerging meta-heuristic that has been widely used in both science and industry. Whale Optimization Algorithm has been cited more than 5000 times in Google Scholar, thus solving optimization problems using this algorithm requires addressing a number of challenges including multiple objectives, constraints, binary decision variables, large-scale search space, dynamic objective function, and noisy parameters to name a few. This handbook provides readers with in-depth analysis of this algorithm and existing methods in the literature to cope with such challenges.
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In den WarenkorbPaperback. Zustand: Brand New. 300 pages. 10.75x8.25x1.25 inches. In Stock. This item is printed on demand.