An improved Genetic Algorithm for global optimization of electromagnetic problems

被引：17

作者：

Chen, XD ^{[1
]}

Qian, JG ^{[1
]}

Ni, GZ ^{[1
]}

Yang, SY ^{[1
]}

Zhang, ML ^{[1
]}

机构：

[1] Zhejiang Univ, Elect Engn Coll, Hangzhou 310027, Peoples R China

来源：

IEEE TRANSACTIONS ON MAGNETICS | 2001年 / 37卷 / 05期

关键词：

charge simulation method; genetic algorithm; global optimization; stochastic algorithm;

D O I：

10.1109/20.952666

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：

An improved Genetic Algorithm (GA) for design optimizations of electromagnetic devices is developed in this paper. Numerical test is done on a classical mathematical problem, and it shows that the proposed method has noticeable advantages over Standard GAs. To demonstrate its applicability in engineering optimal design problems, the proposed algorithm, together with the charge simulation method, is used to solve the optimization of a bar-plane electrode model.

引用

页码：3579 / 3583

页数：5

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