| 書目名稱 | Multi-Objective Optimization Problems |
| 副標題 | Concepts and Self-Ad |
| 編輯 | Fran Sérgio Lobato,Valder Steffen Jr. |
| 視頻video | http://file.papertrans.cn/640/639989/639989.mp4 |
| 概述 | Offers an starting point to key concepts related to multi-objective optimization problems.Brings a rich variety of applications in Engineering and Mathematics.Presents a new optimization strategy, the |
| 叢書名稱 | SpringerBriefs in Mathematics |
| 圖書封面 |  |
| 描述 | .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.. |
| 出版日期 | Book 2017 |
| 關鍵詞 | Multi-objective optimization; Differential evolution; Self-adaptive parameters; MOOP; MOP; Evolutionary a |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-58565-9 |
| isbn_softcover | 978-3-319-58564-2 |
| isbn_ebook | 978-3-319-58565-9Series ISSN 2191-8198 Series E-ISSN 2191-8201 |
| issn_series | 2191-8198 |
| copyright | The Author(s) 2017 |
|Archiver|手機版|小黑屋|
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