Multi Objective Optimization Problems Concepts by Lobato Fran (9 results)
Language: English
Published by Springer 2017
Series: SpringerBriefs in Mathematics, Book 89 of 155. Book 89 of 155 - SpringerBriefs in Mathematics
- Softcover
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Published by Springer 2017
Series: SpringerBriefs in Mathematics, Book 89 of 155. Book 89 of 155 - SpringerBriefs in Mathematics
- Softcover
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Published by Springer 2017-07 2017
Series: SpringerBriefs in Mathematics, Book 89 of 155. Book 89 of 155 - SpringerBriefs in Mathematics
- Softcover
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Published by Springer 2017
Series: SpringerBriefs in Mathematics, Book 89 of 155. Book 89 of 155 - SpringerBriefs in Mathematics
- Softcover
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Language: English
Published by Springer 2017
Series: SpringerBriefs in Mathematics, Book 89 of 155. Book 89 of 155 - SpringerBriefs in Mathematics
- Softcover
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Language: English
Published by Springer 2017
Series: SpringerBriefs in Mathematics, Book 89 of 155. Book 89 of 155 - SpringerBriefs in Mathematics
- Softcover
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Language: English
Published by Springer Verlag 2017
Series: SpringerBriefs in Mathematics, Book 89 of 155. Book 89 of 155 - SpringerBriefs in Mathematics
- Softcover
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Paperback. Condition: Brand New. 160 pages. 9.00x6.00x0.50 inches. In Stock.
Language: English
Published by Springer, Palgrave Macmillan 2017
Series: SpringerBriefs in Mathematics, Book 89 of 155. Book 89 of 155 - SpringerBriefs in Mathematics
- Softcover
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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 mathemat…ical 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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Published by Springer 2017
Series: SpringerBriefs in Mathematics, Book 89 of 155. Book 89 of 155 - SpringerBriefs in Mathematics
- Softcover
Seller: preigu, Osnabrück, Germanypreigu
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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 V…erlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
