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- W3048149314 abstract "This paper presents a methodology for solving the municipal waste collection problem in urban areas. The problem is treated as a distance-constrained capacitated vehicle routing problem for municipal waste collection (DCCVRP-MWC). To solve this problem, four meta-heuristic algorithms were used: Genetic algorithm (GA), Simulated annealing (SA), Particle swarm optimization (PSO) and Ant colony optimization (ACO). Vehicle guidance plays a huge role in large transportation companies, and with this test, we propose one of several algorithms for solving urban waste collection problems." @default.
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- W3048149314 date "2020-05-17" @default.
- W3048149314 modified "2023-10-03" @default.
- W3048149314 title "METAHEURISTICS FOR THE WASTE COLLECTION VEHICLE ROUTING PROBLEM IN URBAN AREAS" @default.
- W3048149314 doi "https://doi.org/10.22190/fuwlep2001001s" @default.
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