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

Artigo

Fecha

2006-04-01

Registro en:

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

http://repositorioslatinoamericanos.uchile.cl/handle/2250/3908917

Autor

Hong Kong Polytech Univ

Zhejiang Univ

Universidade Estadual Paulista (Unesp)

Institución

Universidade Paulista Júlio de Mesquita Filho (Brasil)

Resumen

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.

Materias

ant colony optimization (ACO)

design optimization

foraging behavior

tabu search method

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