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Handbook of Nature-Inspired Optimization Algorithms: The State of the Art: Volume I: Solving Single Objective Bound-Constrained Real-Parameter ... (Studies in Systems, Decision and Control) - Tapa blanda
Sinopsis
The introduction of nature-inspired optimization algorithms (NIOAs), over the past three decades, helped solve nonlinear, high-dimensional, and complex computational optimization problems. NIOAs have been originally developed to overcome the challenges of global optimization problems such as nonlinearity, non-convexity, non-continuity, non-differentiability, and/or multimodality which traditional numerical optimization techniques had difficulties solving.
The main objective for this book is to make available a self-contained collection of modern research addressing the general bound-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."Sinopsis" puede pertenecer a otra edición de este libro.
De la contraportada
The introduction of nature-inspired optimization algorithms (NIOAs), over the past three decades, helped solve nonlinear, high-dimensional, and complex computational optimization problems. NIOAs have been originally developed to overcome the challenges of global optimization problems such as nonlinearity, non-convexity, non-continuity, non-differentiability, and/or multimodality which traditional numerical optimization techniques had difficulties solving.
The main objective for this book is to make available a self-contained collection of modern research addressing the general bound-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."Sobre este título" puede pertenecer a otra edición de este libro.
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Handbook of Nature-Inspired Optimization Algorithms: The State of the Art (eng)
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Handbook of Nature-Inspired Optimization Algorithms: The State of the Art
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Springer International Publishing Sep 2023, 2023
ISBN 10: 3031075145
ISBN 13: 9783031075148
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The introduction of nature-inspired optimization algorithms (NIOAs), over the past three decades, helped solve nonlinear, high-dimensional, and complex computational optimization problems. NIOAs have been originally developed to overcome the challenges of global optimization problems such as nonlinearity, non-convexity, non-continuity, non-differentiability, and/or multimodality which traditional numerical optimization techniques had difficulties solving.The main objective for this book is to make available a self-contained collection of modern research addressing the general bound-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. 292 pp. Englisch. Nº de ref. del artículo: 9783031075148
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Handbook of Nature-Inspired Optimization Algorithms: The State of the Art
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ISBN 10: 3031075145
ISBN 13: 9783031075148
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Explains the algorithms used, selected problems, and the implementationFocuses on solving single objective bound-constrained real parameter numerical optimization problems with NIOAsProvides practical examples, comparisons, and experimental. Nº de ref. del artículo: 1027290306
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Handbook of Nature-Inspired Optimization Algorithms - The State of the Art : Solving Single Objective Bound-Constrained Real-Parameter Numerical Optimization Problems
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Handbook of Nature-Inspired Optimization Algorithms - The State of the Art : Solving Single Objective Bound-Constrained Real-Parameter Numerical Optimization Problems
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Handbook of Nature-Inspired Optimization Algorithms: The State of the Art: Volume I: Solving Single Objective Bound-Constrained Real-Parameter ... in Systems, Decision and Control, 212)
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Handbook of Nature-Inspired Optimization Algorithms: The State of the Art : Volume I: Solving Single Objective Bound-Constrained Real-Parameter Numerical Optimization Problems
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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - The introduction of nature-inspired optimization algorithms (NIOAs), over the past three decades, helped solve nonlinear, high-dimensional, and complex computational optimization problems. NIOAs have been originally developed to overcome the challenges of global optimization problems such as nonlinearity, non-convexity, non-continuity, non-differentiability, and/or multimodality which traditional numerical optimization techniques had difficulties solving.The main objective for this book is to make available a self-contained collection of modern research addressing the general bound-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. Nº de ref. del artículo: 9783031075148
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Handbook of Nature-Inspired Optimization Algorithms: The State of the Art
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Springer, Springer Sep 2023, 2023
ISBN 10: 3031075145
ISBN 13: 9783031075148
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The introduction of nature-inspired optimization algorithms (NIOAs), over the past three decades, helped solve nonlinear, high-dimensional, and complex computational optimization problems. NIOAs have been originally developed to overcome the challenges of global optimization problems such as nonlinearity, non-convexity, non-continuity, non-differentiability, and/or multimodality which traditional numerical optimization techniques had difficulties solving.The main objective for this book is to make available a self-contained collection of modern research addressing the general bound-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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 292 pp. Englisch. Nº de ref. del artículo: 9783031075148
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Handbook of Nature-Inspired Optimization Algorithms: The State of the Art : Volume I: Solving Single Objective Bound-Constrained Real-Parameter Numerical Optimization Problems
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Condición: Hervorragend. Zustand: Hervorragend | Seiten: 292 | Sprache: Englisch | Produktart: Bücher | The introduction of nature-inspired optimization algorithms (NIOAs), over the past three decades, helped solve nonlinear, high-dimensional, and complex computational optimization problems. NIOAs have been originally developed to overcome the challenges of global optimization problems such as nonlinearity, non-convexity, non-continuity, non-differentiability, and/or multimodality which traditional numerical optimization techniques had difficulties solving.The main objective for this book is to make available a self-contained collection of modern research addressing the general bound-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. Nº de ref. del artículo: 42308234/1
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Handbook of Nature-inspired Optimization Algorithms - the State of the Art: Solving Single Objective Bound-constrained Real-parameter Numerical Optimization Problems: Vol 1
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