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Dynamic Parameter Adaptation Meta Heuristic by Olivas Frumen (15 results)
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Condition: As New. Unread book in perfect condition.
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Dynamic Parameter Adaptation for Meta-Heuristic Optimization Algorithms Through Type-2 Fuzzy Logic (SpringerBriefs in Computational Intelligence)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Dynamic Parameter Adaptation for Meta-heuristic Optimization Algorithms Through Type-2 Fuzzy Logic
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Dynamic Parameter Adaptation for Meta-heuristic Optimization Algorithms Through Type-2 Fuzzy Logic
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Dynamic Parameter Adaptation for Meta-heuristic Optimization Algorithms Through Type-2 Fuzzy Logic
Published by Springer-Verlag New York Inc, 2018
ISBN 10: 3319708503 ISBN 13: 9783319708508
Language: English
Paperback. Condition: Brand New. 116 pages. 9.25x6.10x0.27 inches. In Stock.
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Dynamic Parameter Adaptation for Meta-Heuristic Optimization Algorithms Through Type-2 Fuzzy Logic
Published by Springer, Berlin, Springer International Publishing, Springer, 2018
ISBN 10: 3319708503 ISBN 13: 9783319708508
Language: English
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - In this book, a methodology for parameter adaptation in meta-heuristic op-timization methods is proposed. This methodology is based on using met-rics about the population of the meta-heuristic methods, to decide through a fuzzy inference system the best parameter values that were carefully se-lected to be adjusted. With this modification of parameters we want to find a better model of the behavior of the optimization method, because with the modification of parameters, these will affect directly the way in which the global or local search are performed.Three different optimization methods were used to verify the improve-ment of the proposed methodology. In this case the optimization methods are: PSO (Particle Swarm Optimization), ACO (Ant Colony Optimization) and GSA (Gravitational Search Algorithm), where some parameters are se-lected to be dynamically adjusted, and these parameters have the most im-pact in the behavior of each optimization method.Simulation results show that the proposed methodology helps to each optimization method in obtaining better results than the results obtained by the original method without parameter adjustment.
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Taschenbuch. Condition: Neu. Dynamic Parameter Adaptation for Meta-Heuristic Optimization Algorithms Through Type-2 Fuzzy Logic | Frumen Olivas (u. a.) | Taschenbuch | vii | Englisch | 2018 | Springer | EAN 9783319708508 | 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. Condition: New. New. book.
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Dynamic Parameter Adaptation for Meta-Heuristic Optimization Algorithms Through Type-2 Fuzzy Logic
Published by Berlin Springer International Publishing Springer Mrz 2018, 2018
ISBN 10: 3319708503 ISBN 13: 9783319708508
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In this book, a methodology for parameter adaptation in meta-heuristic op-timization methods is proposed. This methodology is based on using met-rics about the population of the meta-heuristic methods, to decide through a fuzzy inference system the best parameter values that were carefully se-lected to be adjusted. With this modification of parameters we want to find a better model of the behavior of the optimization method, because with the modification of parameters, these will affect directly the way in which the global or local search are performed.Three different optimization methods were used to verify the improve-ment of the proposed methodology. In this case the optimization methods are: PSO (Particle Swarm Optimization), ACO (Ant Colony Optimization) and GSA (Gravitational Search Algorithm), where some parameters are se-lected to be dynamically adjusted, and these parameters have the most im-pact in the behavior of each optimization method.Simulation results show that the proposed methodology helps to each optimization method in obtaining better results than the results obtained by the original method without parameter adjustment. 105 pp. Englisch.
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Condition: New. Print on Demand pp. 116.
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Condition: New. PRINT ON DEMAND pp. 116.
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Dynamic Parameter Adaptation for Meta-Heuristic Optimization Algorithms Through Type-2 Fuzzy Logic
Published by Springer International Publishing, 2018
ISBN 10: 3319708503 ISBN 13: 9783319708508
Language: English
Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. In this book, a methodology for parameter adaptation in meta-heuristic op-timization methods is proposed. This methodology is based on using met-rics about the population of the meta-heuristic methods, to decide through a fuzzy inference system th.
