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Ant Colony Optimization for Multi-Objective Optimization Problems
Paris, France October 29-October 31
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICTAI.2007.10819th IEEE International Conference on ...
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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.
Citation:
In? Alaya, Christine Solnon, Khaled Gh?dira, "Ant Colony Optimization for Multi-Objective Optimization Problems," ictai, vol. 1, pp.450-457, 19th IEEE International Conference on Tools with Artificial Intelligence - Vol.1 (ICTAI 2007), 2007
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