Ant Colony Optimization for Multi-Objective Optimization Problems

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Inès Alaya, Christine Solnon, Khaled Ghédira

Published: 2007, Last Modified: 11 Nov 2024ICTAI (1) 2007EveryoneRevisionsBibTeXCC BY-SA 4.0
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.