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

Siu Lau Ho; Shiyou Yang; H. C. Wong; Ka Wai Eric Cheng; Guangzheng Ni

doi:10.1109/TMAG.2005.845998

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

Siu Lau Ho, Shiyou Yang, H. C. Wong, Ka Wai Eric Cheng, Guangzheng Ni

Research output: Journal article publication › Journal article › Academic research › peer-review

34 Citations (Scopus)

Abstract

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 (AGO) methods, an improved AGO 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.

Original language	English
Pages (from-to)	1764-1767
Number of pages	4
Journal	IEEE Transactions on Magnetics
Volume	41
Issue number	5
DOIs	https://doi.org/10.1109/TMAG.2005.845998
Publication status	Published - 1 May 2005

Keywords

Ant colony optimization (ACO) method
Heuristic algorithm
Inverse problem
Optimal design

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Electrical and Electronic Engineering

More information

10.1109/TMAG.2005.845998

http://hdl.handle.net/10397/860

Cite this

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AU - Cheng, Ka Wai Eric

AU - Ni, Guangzheng

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KW - Ant colony optimization (ACO) method

KW - Heuristic algorithm

KW - Inverse problem

KW - Optimal design

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

Abstract

Keywords

ASJC Scopus subject areas

More information

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