The optimization design of Hall component array based on genetic algorithm

被引：0

作者：

Zhai, Weiwei ^{[1
]}

Gao, Wenzhu ^{[1
]}

Zhang, Yu ^{[1
]}

Bi, Ke ^{[1
]}

Xu, Tianyue ^{[1
]}

Zhang, Tieqiang ^{[1
]}

机构：

[1] Jilin Univ, Coll Phys, Changchun 130023, Peoples R China

来源：

PROCEEDINGS OF THE 2013 INTERNATIONAL CONFERENCE ON INFORMATION, BUSINESS AND EDUCATION TECHNOLOGY (ICIBET 2013) | 2013年 / 26卷

关键词：

Genetic algorithm; Hall component; Optimization design;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

It can greatly shorten the design period and make optimization more reasonable that use genetic algorithm for the Hall component array optimization design. The method is to set up the optimized platform based on ANSYS and MATLAB software. MATLAB software is used to realize the program design of genetic algorithm, ANSYS software is used to realize the simulation of hall component and get the corresponding hall voltage. With calling back the hall voltage of ANSYS, MATLAB can obtain the best design parameters after gradually choice. To avoid premature phenomenon of genetic algorithm, this paper also take sequencing selection method, novel crossover and mutation operation.

引用

页码：1 / 4

页数：4