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Multi Objective Optimization Problems Concepts by Lobato Fran (9 results)
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Condition: As New. Unread book in perfect condition.
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Multi-Objective Optimization Problems: Concepts and Self-Adaptive Parameters with Mathematical and Engineering Applications (SpringerBriefs in Mathematics)
Book 89 of 155: SpringerBriefs in MathematicsSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 55.51
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Ships from United Kingdom to U.S.A.Quantity: Over 20 available
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Multi-Objective Optimization Problems : Concepts and Self-Adaptive Parameters With Mathematical and Engineering Applications
Book 89 of 155: SpringerBriefs in MathematicsSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Multi-Objective Optimization Problems : Concepts and Self-Adaptive Parameters With Mathematical and Engineering Applications
Book 89 of 155: SpringerBriefs in MathematicsSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Paperback. Condition: Brand New. 160 pages. 9.00x6.00x0.50 inches. In Stock.
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Multi-Objective Optimization Problems : Concepts and Self-Adaptive Parameters with Mathematical and Engineering Applications
Book 89 of 155: SpringerBriefs in MathematicsLanguage: English
Published by Springer, Palgrave Macmillan, 2017
ISBN 10: 3319585649 ISBN 13: 9783319585642
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is aimed at undergraduate and graduate students inapplied mathematics or computer science, as a tool for solving real-world design problems. The present work covers fundamentals in multi-objective optimization and applications in mathematical and engineering system designusing a new optimization strategy, namely the Self-Adaptive Multi-objective Optimization Differential Evolution (SA-MODE) algorithm. This strategy is proposed in order to reduce the number of evaluations of the objective function through dynamic update of canonical Differential Evolution parameters (population size, crossover probability and perturbation rate). The methodology is applied to solve mathematical functions considering test cases from the literature and various engineering systems design, such as cantilevered beam design, biochemical reactor, crystallization process, machine tool spindle design, rotary dryer design, among others.
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Taschenbuch. Condition: Neu. Multi-Objective Optimization Problems | Concepts and Self-Adaptive Parameters with Mathematical and Engineering Applications | Fran Sérgio Lobato (u. a.) | Taschenbuch | SpringerBriefs in Mathematics | xx | Englisch | 2017 | Springer | EAN 9783319585642 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
