Abstract
This article presents a metaheuristic approach applying simulated annealing for the Municipal Solid Waste collecting route problem in the Historical Center of Cuernavaca, Mexico. The solid waste collection route addressed requires finding an optimal collection route in the constrained polygonal area of the historical center of Cuernavaca. The experimental evaluation solves a realistic problem considering garbage truck information of the Cuernavaca municipality. The proposed approach finds an optimal tour that improves up to 29.3% of the solid waste collection distance over current municipal solid waste system tours.
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Acknowledgements
This work acknowledges Cuernavaca local government for the information facilitated in developing the work and Diego Rossit from the Universidad Nacional del Sur, Argentina, for his valuable comments regarding the MSW experience in Bahia Blanca, Argentina.
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Facultad de Ciencias Químicas e Ingeniería of the Universidad Autónoma del Estado de Morelos, funded this article.
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Arce-García, I.Y., Moreno-Bernal, P., Pacheco-Valencia, V., Torres-Salazar, M.d.C., Nesmachnow, S., León-Hernández, V.A. (2024). Simulated Annealing Metaheuristic Approach for Municipal Solid Waste Collecting Route Problem in the Historical Center of a Mexican City. In: Nesmachnow, S., Hernández Callejo, L. (eds) Smart Cities. ICSC-Cities 2023. Communications in Computer and Information Science, vol 1938. Springer, Cham. https://doi.org/10.1007/978-3-031-52517-9_8
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