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Etude comparative des algorithmes de colonies de fourmis pour ´ Optimisation multi-objectifs

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dc.contributor.author BOUGUERRA, YASMINA
dc.contributor.author TRIRAT, NOUR EL HOUDA
dc.date.accessioned 2022-11-03T08:51:11Z
dc.date.available 2022-11-03T08:51:11Z
dc.date.issued 2022-06
dc.identifier.issn MTM/320
dc.identifier.uri https://dspace.univ-bba.dz:443/xmlui/handle/123456789/2258
dc.description.abstract In this work we dealt with a hot topic of Comparative Study of Ant Colony Algorithms for Multi-Objective Optimization where we touched on the basic process of ant colony algorithms to solve MOPs to illustrate the differences between each step and then presented a complete relative classification of the algorithms from different sides After that, given the classification result, we performed We compared some typical algorithms that come from different classes with different sizes of TSP (traveling salesman problem) examples and we analyzed the results from the perspective of solution quality and convergence rate. en_US
dc.language.iso fr en_US
dc.publisher Université de Bordj Bou Arreridj Faculty of Mathematics and Computer Science en_US
dc.subject : multi-objective optimization problem ; multi-objective optimization algorithm ; meta-heuristic algorithm ; multi-objective ant colony optimization en_US
dc.title Etude comparative des algorithmes de colonies de fourmis pour ´ Optimisation multi-objectifs en_US
dc.type Thesis en_US


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