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15

ICTAI
2007
IEEE

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Ant Colony Optimization for Multi-Objective Optimization Problems

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Ant Colony Optimization for Multi-Objective Optimization Problems

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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.

Inès Alaya, Christine Solnon, Khaled Gh&eac

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Algorithms | Ant Colony Optimization | Artificial Intelligence | Generic Algorithm | ICTAI 2007 |

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Added	03 Jun 2010
Updated	03 Jun 2010
Type	Conference
Year	2007
Where	ICTAI
Authors	Inès Alaya, Christine Solnon, Khaled Ghédira

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