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oai:riuma.uma.es:10630/365682026-02-03T11:24:04Zcom_10630_2254col_10630_37953

Optimizing a bi-objective vehicle routing problem that appears in industrial enterprises López-Sánchez, Ana D. Molina-Luque, Julián Laguna, Manuel Hernández-Díaz, Alfredo G. Vehículos Optimización de las trayectorias In this paper, a new solution method is implemented to solve a bi- objective variant of the Vehicle Routing Problem that appears in industry and environmental enterprises. The solution involves designing a set of routes for each day in a period, in which the service frequency is a decision variable. The proposed algorithm, the Muti-Start Multi-objective Local Search algorithm (MSMLS), minimizes total emissions produced by all ve- hicles and maximizes the service quality measured as the number of times that a customer is visited by a vehicle in order to be served. The MSMLS is a neighborhood-based metaheuristic that obtains high-quality solutions and that is capable of achieving better performance than other competi- tive algorithms. Furthermore, the proposed algorithm is able to perform rapid movements thanks to the easy representation of the solutions. 2025-01-20T12:02:19Z 2025-01-20T12:02:19Z 2021 journal article López-Sánchez, A.D.; Molina, J.; Laguna, M.; Hernández-Díaz, A.G. (2021). Optimizing a bi-objective vehicle routing problem that appears in industrial enterprises. Expert Systems. 2021, 38 (1) https://hdl.handle.net/10630/36568 10.1111/exsy.12638 eng open access Wiley Online Library