Hybrid genetic algorithm for electromagnetic topology optimization

被引：90
|
作者：
Im, CH [1 ]
Jung, HK
Kim, YJ
机构：
[1] Seoul Natl Univ, Sch Elect Engn & Comp Sci, Seoul 151742, South Korea
[2] KERI, Kyungsangnam Do 641120, South Korea
来源：
IEEE TRANSACTIONS ON MAGNETICS | 2003年 / 39卷 / 05期
关键词：
genetic algorithm (GA); geographic crossover; local optimization; topology optimization; two-dimensional (2-D) encoding;
D O I：
10.1109/TMAG.2003.817094
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：
This paper proposes a hybrid genetic algorithm (GA) for electromagnetic topology optimization. A two-dimensional (2-D) encoding technique, which considers the geometrical topology, is first applied to electromagnetics. Then, a 2-D geographic crossover is used as the crossover operator. A novel local optimization algorithm, called the on/off sensitivity method, hybridized with the 2-D encoded GA, improves the convergence characteristics. The algorithm was verified by applying it to various case studies, and the results are presented herein.
引用
收藏
页码：2163 / 2169
页数：7
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