Application of Chaos Genetic Algorithm to Transformer Optimal Design

被引：16

作者：

Zhang, Shuang ^{[1
]}

Hu, Qinghe ^{[2
]}

Wang, Xingwei ^{[2
]}

Zhu, Zhiliang ^{[2
]}

机构：

[1] Northeastern Univ, Software Coll, Box 135, Shenyang 110004, Peoples R China

[2] Northeastern Univ, Coll Informat & Sci Engn, Shenyang 110004, Peoples R China

来源：

2009 INTERNATIONAL WORKSHOP ON CHAOS-FRACTALS THEORIES AND APPLICATIONS (IWCFTA 2009) | 2009年

关键词：

optimal design; genetic algorithm; chaos; calculation optimization; transformer;

D O I：

10.1109/IWCFTA.2009.30

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Optimal design of power transformer is discrete, multi-variable, nonlinear, multi-purposed, and mixed programmed. According to the characteristics of transformer optimal design, the paper combines genetic algorithm with chaos to get a new mixed generic algorithm. It is adopted to transformer electromagnetic calculation optimization, proving its good performance. This research is meaningful for the popularization and application of genetic algorithm to transformer optimal design.

引用

页码：108 / +

页数：2