Title :
DANTE The Combination between an Ant Colony Optimization Algorithm and a Depth Search Method
Author :
Cardoso, Pedro ; Jesus, Mário ; Marquez, Alberto
Author_Institution :
EST, Univ. do Algarve, Faro
Abstract :
The isin-DANTE method is an hybrid meta-heuristic. In combines the evolutionary ant colony optimization (ACO) algorithms with a limited depth search. This depth search is based in the pheromone trails used by the ACO, which allows it to be oriented to the more promising areas of the search space. Some results are presented for the multiple objective k-degree spanning trees problem, proving the effectiveness of the method when compared with other already tested evolutionary methods.
Keywords :
optimisation; tree searching; DANTE; ant colony optimization algorithm; depth search method; hybrid meta-heuristic; multiple objective k-degree spanning trees problem; Ant colony optimization; Computational modeling; Evolutionary computation; Genetic algorithms; Hybrid intelligent systems; Hybrid power systems; Search methods; Simulated annealing; Structural beams; Testing; Ant Colony Optimization; Hybrid meta-heuristic; multiple objective optimization;
Conference_Titel :
Hybrid Intelligent Systems, 2008. HIS '08. Eighth International Conference on
Conference_Location :
Barcelona
Print_ISBN :
978-0-7695-3326-1
Electronic_ISBN :
978-0-7695-3326-1
DOI :
10.1109/HIS.2008.115