Title :
Ant Colony Optimization for Multi-Objective Optimization Problems
Author :
Alaya, Inès ; Solnon, Christine ; Ghédira, Khaled
Author_Institution :
Nat. Sch. of Comput. Sci., Manouba
Abstract :
We propose in this paper a generic algorithm based on ant colony optimization to solve multi-objective optimization problems. The proposed algorithm is parameterized by the number of ant colonies and the number of pheromone trails. We compare different variants of this algorithm on the multi-objective knapsack problem. We compare also the obtained results with other evolutionary algorithms from the literature.
Keywords :
optimisation; ant colony optimization; evolutionary algorithms; generic algorithm; multi-objective knapsack problem; multi-objective optimization problems; Ant colony optimization; Artificial intelligence; Constraint optimization; Cost function; Evolutionary computation;
Conference_Titel :
Tools with Artificial Intelligence, 2007. ICTAI 2007. 19th IEEE International Conference on
Conference_Location :
Patras
Print_ISBN :
978-0-7695-3015-4
DOI :
10.1109/ICTAI.2007.108
