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

Ho, S. L.; Yang, S. Y.; Ni, G. Z.; Machado, J. M.

Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/37379

Title:

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

Author(s):

Institution:

Hong Kong Polytech Univ
Zhejiang Univ
Universidade Estadual Paulista (UNESP)

ISSN:

0018-9464

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.

Issue Date:

1-Apr-2006

Citation:

IEEE Transactions on Magnetics. Piscataway: IEEE-Inst Electrical Electronics Engineers Inc., v. 42, n. 4, p. 1195-1198, 2006.

Time Duration:

1195-1198

Publisher:

Institute of Electrical and Electronics Engineers (IEEE)

Keywords:

ant colony optimization (ACO)
design optimization
foraging behavior
tabu search method

Source:

http://dx.doi.org/10.1109/TMAG.2006.871425

URI:

Access Rights:

Acesso restrito

Type:

outro

Source:

http://repositorio.unesp.br/handle/11449/37379

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