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This book is aimed at undergraduate and graduate students in applied 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 design using 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.
Informazioni sull?autore:
Fran Sérgio Lobato was born in Araguari, Brazil, in 1976. He received his Chemical Engineering degree, his MSc in Chemical Engineering and his PhD degree in Mechanical Engineering, all from the Federal University of Uberlândia, Brazil, in 2001, 2004 and 2008, respectively. During the year of 2009 he worked in the Federal University of São João Del Rei, Brazil. Since 2010, he has been Assistant Professor at the School of Chemical Engineering of the Federal University of Uberlândia. His current research interests include bio-inspired optimization algorithms, optimal control theory, reliability and robust optimization, and inverse problems.
Valder Steffen Jr. was born in Rio Claro, Brazil, in 1952. He received his degree on Mechanical Engineering from University of Campinas - Unicamp, Brazil, in 1976. Then, his doctorate and his Habilitation (H.D.R) were both obtained from the Franche-Comté University (Besançon, France) in 1979 and 1991, respectively. His current position is Professor of Mechanical Engineering, School of Mechanical Engineering at the Federal University of Uberlândia, Brazil. His research interests include dynamics of mechanical systems, optimization algorithms, smart structures and materials, and inverse problems in engineering sciences. Prof. Steffen is member of the following professional societies: ABCM, SEM, ABMEC and SBMAC.
Titolo: Multi-Objective Optimization Problems: ...
Casa editrice: Springer
Data di pubblicazione: 2017
Legatura: Brossura
Condizione: New
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition. Codice articolo 29324793
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Da: moluna, Greven, Germania
Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Offers an starting point to key concepts related to multi-objective optimization problemsBrings a rich variety of applications in Engineering and MathematicsPresents a new optimization strategy, the S. Codice articolo 154985382
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 180 pp. Englisch. Codice articolo 9783319585642
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Da: AHA-BUCH GmbH, Einbeck, Germania
Taschenbuch. Condizione: 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. Codice articolo 9783319585642
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Da: preigu, Osnabrück, Germania
Taschenbuch. Condizione: Neu. Multi-Objective Optimization Problems | Concepts and Self-Adaptive Parameters with Mathematical and Engineering Applications | Valder Steffen Jr. (u. a.) | Taschenbuch | xx | Englisch | 2017 | Springer International Publishing | EAN 9783319585642 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Codice articolo 109489893
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Taschenbuch. Condizione: Neu. Neuware -This book is aimed at undergraduate and graduate students in applied 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 design using 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 180 pp. Englisch. Codice articolo 9783319585642
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Da: Chiron Media, Wallingford, Regno Unito
PF. Condizione: New. Codice articolo 6666-IUK-9783319585642
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