A study on comparison of optimization performances between immune algorithm and other heuristic algorithms

被引：114

作者：

Chun, JS ^{[1
]}

Jung, HK ^{[1
]}

Hahn, SY ^{[1
]}

机构：

[1] Seoul Natl Univ, Sch Elect Engn, Seoul 151742, South Korea

来源：

IEEE TRANSACTIONS ON MAGNETICS | 1998年 / 34卷 / 05期

关键词：

immune algorithm; heuristic algorithm; optimization performance; genetic algorithm; evolution strategy; numerical test functions; optimal design; SPMSM;

D O I：

10.1109/20.717694

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：

Usefulness of heuristic algorithms as the search method for diverse optimization problems is examined. Immune algorithm(IA), genetic algorithm(GA) and evolution strategy(ES) are used to search the optimal value for some numerical functions. Then those results are compared each other. It is shown that IA is more useful for most of problems. Especially the structure and characteristic of immune algorithm(IA) are inspected in detail. Finally a surface permanent magnet synchronous motor (SPMSM) is designed by using the algorithms.

引用

页码：2972 / 2975

页数：4

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