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

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

Research output: Journal article publicationJournal articleAcademic researchpeer-review

39 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 languageEnglish
Pages (from-to)1195-1198
Number of pages4
JournalIEEE Transactions on Magnetics
Volume42
Issue number4
DOIs
Publication statusPublished - 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)

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