Revistes Publicacions URV: SORT - Statistics and Operations Research Transactions> 2020

A simheuristic algorithm for time-dependent waste collection management with stochastic travel times

  • Identification data

    Identifier: RP:4904
    Handle: https://hdl.handle.net/20.500.11797/RP4904
    Authors:
    Juan, Angel A.Calvet, LauraPérez-Navarro, AntoniGruler, Aljoscha
    Abstract:
    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.

  • Others:

    Author, as appears in the article.: Juan, Angel A. Calvet, Laura Pérez-Navarro, Antoni Gruler, Aljoscha
    Keywords: Waste collection management
    Abstract: 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.
    Journal publication year: 2020
    Publication Type: ##rt.metadata.pkp.peerReviewed## info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article