Title :
A modified ant colony optimization algorithm modeled on tabu-search methods
Author :
Ho, S.L. ; Yang, Shiyou ; Ni, Guangzheng ; Machado, Josè Márcio
Author_Institution :
Dept. of Electr. Eng., Hong Kong Polytech. Univ.
fDate :
4/1/2006 12:00:00 AM
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
Keywords :
optimisation; search problems; ant colony optimization; electromagnetic design problems; pachycodyla apicalis; tabu search methods; Algorithm design and analysis; Ant colony optimization; Design optimization; Educational institutions; Genetic algorithms; Recruitment; Robustness; Search methods; Ant colony optimization (ACO); design optimization; foraging behavior; tabu search method;
Journal_Title :
Magnetics, IEEE Transactions on
DOI :
10.1109/TMAG.2006.871425
