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Particle Swarm Optimization for Capacitated Vehicle Routing Problem

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dc.contributor.author ZEBIRI Mohammed
dc.date.accessioned 2023-10-31T10:12:27Z
dc.date.available 2023-10-31T10:12:27Z
dc.date.issued 2023
dc.identifier.uri https://dspace.univ-bba.dz:443/xmlui/handle/123456789/4512
dc.description.abstract This thesis explores the application of Particle Swarm Optimization (PSO) to solve the Capacitated Vehicle Routing Problem (CVRP). The proposed PSO-based approach demonstrates superior performance in terms of solution quality and computational efficiency compared to existing methods. The findings highlight the potential of PSO as an effective tool for addressing complex combinatorial optimization problems like the CVRP, with implications for real-world transportation and logistics applications en_US
dc.language.iso en en_US
dc.publisher UNIVERSITY BBA en_US
dc.subject Capacitated Vehicle Routing Problem, Particle Swarm Optimization, Best Known Position en_US
dc.title Particle Swarm Optimization for Capacitated Vehicle Routing Problem en_US
dc.type Thesis en_US


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