Bat-Inspired Optimization Approach for the Brushless DC Wheel Motor Problem

被引：123

作者：

Bora, Teodoro C.

Coelho, Leandro dos S. ^{[2
,3
]}

Lebensztajn, Luiz ^{[1
]}

机构：

[1] Univ Sao Paulo, Escola Politecn, Lab Eletromagnetismo Aplicado, BR-05508900 Sao Paulo, Brazil

[2] Pontificia Univ Catolica Parana, Lab Automacao & Sistemas, PPGEPS PUCPR, BR-80215901 Curitiba, Parana, Brazil

[3] Univ Fed Parana, Dept Engn Eletr, BR-80215901 Curitiba, Parana, Brazil

来源：

IEEE TRANSACTIONS ON MAGNETICS | 2012年 / 48卷 / 02期

关键词：

Brushless machines; evolutionary computation; optimization; DESIGN; ALGORITHM;

D O I：

10.1109/TMAG.2011.2176108

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 presents a metaheuristic algorithm inspired in evolutionary computation and swarm intelligence concepts and fundamentals of echolocation of micro bats. The aim is to optimize the mono and multiobjective optimization problems related to the brushless DC wheel motor problems, which has 5 design parameters and 6 constraints for the mono-objective problem and 2 objectives, 5 design parameters, and 5 constraints for multiobjective version. Furthermore, results are compared with other optimization approaches proposed in the recent literature, showing the feasibility of this newly introduced technique to high nonlinear problems in electromagnetics.

引用

页码：947 / 950

页数：4

共 11 条

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