Repositori institucional URV
| Autor segons l'article: | Juan, Angel A. Calvet, Laura Pérez-Navarro, Antoni Gruler, Aljoscha |
| Any de publicació de la revista: | 2020 |
| Tipus de publicació: | ##rt.metadata.pkp.peerReviewed## info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
| Resum: | A major operational task in city logistics is related to waste collection. Due to large problem sizes and numerous constraints, the optimization of real-life waste collection problems on a daily basis requires the use of metaheuristic solving frameworks to generate near-optimal collection routes in low computation times. This paper presents a simheuristic algorithm for the time-dependent waste collection problem with stochastic travel times. By combining Monte Carlo simulation with a biased randomized iterated local search metaheuristic, time-varying and stochastic travel speeds between different network nodes are accounted for. The algorithm is tested using real instances in a medium-sized city in Spain. |
| Paraules clau: | Waste collection management |
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