Ant Colony Optimization for Multi-Objective Optimization Problems

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.

• Type: Conference
• Year: 2007
• Where: ICTAI
• Authors: Inès Alaya, Christine Solnon, Khaled Ghédira
• Keywords: Algorithms, Ant Colony Optimization, Artificial Intelligence, Generic Algorithm, ICTAI 2007