A modified ant colony optimization algorithm modeled on tabu-search methods

Siu Lau Ho; Shiyou Yang; Guangzheng Ni; Josè Márcio Machado

doi:10.1109/TMAG.2006.871425

A modified ant colony optimization algorithm modeled on tabu-search methods

Siu Lau Ho, Shiyou Yang, Guangzheng Ni, Josè Márcio Machado

The Hong Kong Polytechnic University

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

40 Citations (Scopus)

Abstract

An earlier model underlying the foraging strategy of a pachycodyla apicalis ant is modified. The proposed algorithm incorporates key features of the tabu-search method in the development of a relatively simple but robust global ant colony optimization algorithm. Numerical results are reported to validate and demonstrate the feasibility and effectiveness of the proposed algorithm in solving electromagnetic (EM) design problems.

Original language	English
Pages (from-to)	1195-1198
Number of pages	4
Journal	IEEE Transactions on Magnetics
Volume	42
Issue number	4
DOIs	https://doi.org/10.1109/TMAG.2006.871425
Publication status	Published - 1 Apr 2006

Keywords

Ant colony optimization (ACO)
Design optimization
Foraging behavior
Tabu search method

ASJC Scopus subject areas

Electrical and Electronic Engineering
Physics and Astronomy (miscellaneous)

More information

10.1109/TMAG.2006.871425

http://hdl.handle.net/10397/895

Cite this

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KW - Foraging behavior

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A modified ant colony optimization algorithm modeled on tabu-search methods

Abstract

Keywords

ASJC Scopus subject areas

More information

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