Magnetic Design Optimization Approach Using Design of Experiments With Evolutionary Computing

被引：6
|
作者：
Di Barba, P. [1 ]
Dughiero, F. [2 ]
Forzan, M. [2 ]
Sieni, E. [2 ]
机构：
[1] Univ Pavia, Dept Elect Comp & Biomed Engn, I-27100 Pavia, Italy
[2] Univ Padua, Dept Ind Engn, I-35131 Padua, Italy
来源：
IEEE TRANSACTIONS ON MAGNETICS | 2016年 / 52卷 / 03期
关键词：
Evolutionary computing; finite elements (FEs); magnetic field synthesis; multiobjective optimal design; sensitivity analysis; FIELD SYNTHESIS; MULTIOBJECTIVE DESIGN; ALGORITHM; INDUCTOR;
D O I：
10.1109/TMAG.2015.2476378
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A new optimization method, combining design of experiments with evolutionary computing, is proposed. It handles a set of design variables, the size of which changes during the process. Initially, the most sensitive variables are activated; subsequently, the whole set of variables is activated. The optimal synthesis of a magnetic field for magnetofluid treatment is considered as the case study.
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收藏
页数：4
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