A modified ant colony optimization algorithm modeled on tabu-search methods
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Data
2006-04-01
Autores
Ho, S. L.
Yang, S. Y.
Ni, G. Z.
Machado, J. M.
Título da Revista
ISSN da Revista
Título de Volume
Editor
Institute of Electrical and Electronics Engineers (IEEE)
Resumo
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.
Descrição
Palavras-chave
ant colony optimization (ACO), design optimization, foraging behavior, tabu search method
Como citar
IEEE Transactions on Magnetics. Piscataway: IEEE-Inst Electrical Electronics Engineers Inc., v. 42, n. 4, p. 1195-1198, 2006.