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Crowding Population-based Ant Colony Optimization for the Multi-objective Traveling Salesman Problem

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dc.contributor.author HARADJ, Ahlem
dc.contributor.author SADAOUI, Amira
dc.date.accessioned 2022-11-03T09:33:32Z
dc.date.available 2022-11-03T09:33:32Z
dc.date.issued 2022-09-19
dc.identifier.issn MTM/318
dc.identifier.uri https://dspace.univ-bba.dz:443/xmlui/handle/123456789/2259
dc.description.abstract In this thesis, we propose an approximate optimization of an ant colony that depends on swarm intelligence, in order to solve one of the combinatorial optimization problems which is the multi-objective peddler problem, using the populationbased ant colony (PACO) algorithm, which uses a population in addition to a traditional pheromone matrix, after So we used PACO with Crowding Population Replacement Scheme in order to increase the efficiency and effectiveness of the research. en_US
dc.language.iso en en_US
dc.publisher Université de Bordj Bou Arreridj Faculty of Mathematics and Computer Science en_US
dc.subject Approximate method, Ant Colony Optomization (ACO), Swarm Intelligence, Combinatorial Optimization, Traveling Salesman Problem,PACO algorithm, Crowding Replacement Schema. en_US
dc.title Crowding Population-based Ant Colony Optimization for the Multi-objective Traveling Salesman Problem en_US
dc.type Thesis en_US


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