An improved ant colony optimization algorithm and its application to electromagnetic devices designs

被引：24

作者：

Ho, SL ^{[1
]}

Yang, SY

Wong, HC

Cheng, KWE

Ni, GZ

机构：

[1] Hong Kong Polytech Univ, Dept Elect Engn, Hong Kong, Hong Kong, Peoples R China

[2] Zhejiang Univ, EE Coll, Hangzhou 310027, Peoples R China

[3] Hong Kong Polytech Univ, Ind Ctr, Hong Kong, Hong Kong, Peoples R China

来源：

IEEE TRANSACTIONS ON MAGNETICS | 2005年 / 41卷 / 05期

关键词：

ant colony optimization (ACO) method; heuristic algorithm; inverse problem; optimal design;

D O I：

10.1109/TMAG.2005.845998

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：

Based on the success in the design of a new global search procedure on the development of a novel trail updating mechanism and the introduction of an elitist strategy to available ant colony optimization (ACO) methods, an improved ACO algorithm is proposed. In order to facilitate the implementation of the search procedure, the available local search phase is simplified also. The algorithm is tested on a mathematical function and an inverse problem, and its performances are compared with those of other well designed methods.

引用

页码：1764 / 1767

页数：4

共 13 条

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