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


Autoria(s): Ho, S. L.; Yang, S. Y.; Ni, G. Z.; Machado, J. M.
Contribuinte(s)

Universidade Estadual Paulista (UNESP)

Data(s)

20/05/2014

20/05/2014

01/04/2006

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.

Formato

1195-1198

Identificador

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

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

0018-9464

http://hdl.handle.net/11449/37379

10.1109/TMAG.2006.871425

WOS:000236675200174

Idioma(s)

eng

Publicador

Institute of Electrical and Electronics Engineers (IEEE)

Relação

IEEE Transactions on Magnetics

Direitos

closedAccess

Palavras-Chave #ant colony optimization (ACO) #design optimization #foraging behavior #tabu search method
Tipo

info:eu-repo/semantics/article