Ant Colony Optimization for Multi-Objective Optimization Problems

Authors:
Ines Alaya;Christine Solnon;Khaled Ghedira
Affiliations:
-;-;-
Venue:
ICTAI '07 Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence - Volume 01
Year:
2007

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Abstract

We propose in this paper a generic algorithm based on Ant Colony Optimization to solve multi-objective optimiza- tion 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.