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Synopsis
This book presents an overview of archiving strategies developed over the last years by the authors that deal with suitable approximations of the sets of optimal and nearly optimal solutions of multi-objective optimization problems by means of stochastic search algorithms. All presented archivers are analyzed with respect to the approximation qualities of the limit archives that they generate and the upper bounds of the archive sizes. The convergence analysis will be done using a very broad framework that involves all existing stochastic search algorithms and that will only use minimal assumptions on the process to generate new candidate solutions. All of the presented archivers can effortlessly be coupled with any set-based multi-objective search algorithm such as multi-objective evolutionary algorithms, and the resulting hybrid method takes over the convergence properties of the chosen archiver. This book hence targets at all algorithm designers and practitioners in the fieldof multi-objective optimization.
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Archiving Strategies for Evolutionary Multi-objective Optimization Algorithms
Edité par
Springer International Publishing, 2021
ISBN 10 : 3030637727
ISBN 13 : 9783030637729
Neuf
Couverture rigide
Vendeur : moluna, Greven, Allemagne
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Highlights recent research on Archiving Strategies for Evolutionary Multi-objective Optimization AlgorithmsProvides an overview of the different archiving methods which allow convergence of Multi-objective evolutionary algorithms in a st. N° de réf. du vendeur 448686156
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Archiving Strategies for Evolutionary Multi-objective Optimization Algorithms (Studies in Computational Intelligence, 938)
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
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Etat : New. In. N° de réf. du vendeur ria9783030637729_new
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Archiving Strategies for Evolutionary Multi-objective Optimization Algorithms
Edité par
Springer International Publishing, 2021
ISBN 10 : 3030637727
ISBN 13 : 9783030637729
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents an overview of archiving strategies developed over the last years by the authors that deal with suitable approximations of the sets of optimal and nearly optimal solutions of multi-objective optimization problems by means of stochastic search algorithms. All presented archivers are analyzed with respect to the approximation qualities of the limit archives that they generate and the upper bounds of the archive sizes. The convergence analysis will be done using a very broad framework that involves all existing stochastic search algorithms and that will only use minimal assumptions on the process to generate new candidate solutions. All of the presented archivers can effortlessly be coupled with any set-based multi-objective search algorithm such as multi-objective evolutionary algorithms, and the resulting hybrid method takes over the convergence properties of the chosen archiver. This book hence targets at all algorithm designers and practitioners in the fieldof multi-objective optimization. N° de réf. du vendeur 9783030637729
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Archiving Strategies for Evolutionary Multi-objective Optimization Algorithms
Edité par
Springer International Publishing Jan 2021, 2021
ISBN 10 : 3030637727
ISBN 13 : 9783030637729
Neuf
Couverture rigide
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents an overview of archiving strategies developed over the last years by the authors that deal with suitable approximations of the sets of optimal and nearly optimal solutions of multi-objective optimization problems by means of stochastic search algorithms. All presented archivers are analyzed with respect to the approximation qualities of the limit archives that they generate and the upper bounds of the archive sizes. The convergence analysis will be done using a very broad framework that involves all existing stochastic search algorithms and that will only use minimal assumptions on the process to generate new candidate solutions. All of the presented archivers can effortlessly be coupled with any set-based multi-objective search algorithm such as multi-objective evolutionary algorithms, and the resulting hybrid method takes over the convergence properties of the chosen archiver. This book hence targets at all algorithm designers and practitioners in the field of multi-objective optimization. 248 pp. Englisch. N° de réf. du vendeur 9783030637729
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Archiving Strategies for Evolutionary Multi-objective Optimization Algorithms
ISBN 10 : 3030637727
ISBN 13 : 9783030637729
Neuf
Couverture rigide
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. Neuware -This book presents an overview of archiving strategies developed over the last years by the authors that deal with suitable approximations of the sets of optimal and nearly optimal solutions of multi-objective optimization problems by means of stochastic search algorithms. All presented archivers are analyzed with respect to the approximation qualities of the limit archives that they generate and the upper bounds of the archive sizes. The convergence analysis will be done using a very broad framework that involves all existing stochastic search algorithms and that will only use minimal assumptions on the process to generate new candidate solutions. All of the presented archivers can effortlessly be coupled with any set-based multi-objective search algorithm such as multi-objective evolutionary algorithms, and the resulting hybrid method takes over the convergence properties of the chosen archiver. This book hence targets at all algorithm designers and practitioners in the fieldof multi-objective optimization.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 248 pp. Englisch. N° de réf. du vendeur 9783030637729
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Archiving Strategies for Evolutionary Multi-objective Optimization Algorithms (Studies in Computational Intelligence, 938)
Vendeur : Books Puddle, New York, NY, Etats-Unis
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Etat : New. 1st ed. 2021 edition NO-PA16APR2015-KAP. N° de réf. du vendeur 26390048409
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Archiving Strategies for Evolutionary Multi-objective Optimization Algorithms (Studies in Computational Intelligence, 938)
Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
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Etat : New. N° de réf. du vendeur ABLIING23Mar3113020024964
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Archiving Strategies for Evolutionary Multi-objective Optimization Algorithms (Studies in Computational Intelligence, 938)
impression à la demandeVendeur : Majestic Books, Hounslow, Royaume-Uni
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Etat : New. Print on Demand. N° de réf. du vendeur 390600006
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Archiving Strategies for Evolutionary Multi-objective Optimization Algorithms (Studies in Computational Intelligence, 938)
impression à la demandeVendeur : Biblios, Frankfurt am main, HESSE, Allemagne
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Etat : New. PRINT ON DEMAND. N° de réf. du vendeur 18390048403
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Archiving Strategies for Evolutionary Multi-objective Optimization Algorithms
Vendeur : Revaluation Books, Exeter, Royaume-Uni
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Hardcover. Etat : Brand New. 247 pages. 9.25x6.10x0.63 inches. In Stock. N° de réf. du vendeur x-3030637727
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