Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avis › Tidsskriftartikel › Forskning › peer review
Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avis › Tidsskriftartikel › Forskning › peer review
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TY - JOUR
T1 - A matheuristic for the MinMax capacitated open vehicle routing problem
AU - Lysgaard, Jens
AU - López Sánchez, Ana Dolores
AU - Hernández-Díaz, Alfredo García
PY - 2020
Y1 - 2020
N2 - In this paper, the MinMax-COVRP (where COVRP is capacitated open vehicle routing problem) is considered as a variation of the COVRP where the objective is to minimize the duration of the longest route. For the purpose of producing high-quality solutions, elements from the fields of mathematical programming and metaheuristics are combined, resulting in a matheuristic for solving the MinMax-COVRP. The matheuristic benefits from the diversification produced by a metaheuristic and the intensification from mixed-integer linear programming (MILP). The initial solution provided by a multistart heuristic is used to seed and accelerate the MILP in which a local branching framework and the separation of k-path inequalities are suitably combined. Computational experience shows promising results not only improving the initial solution provided by the multistart algorithm, but also ensuring optimality for most of the small- and medium-sized instances.
AB - In this paper, the MinMax-COVRP (where COVRP is capacitated open vehicle routing problem) is considered as a variation of the COVRP where the objective is to minimize the duration of the longest route. For the purpose of producing high-quality solutions, elements from the fields of mathematical programming and metaheuristics are combined, resulting in a matheuristic for solving the MinMax-COVRP. The matheuristic benefits from the diversification produced by a metaheuristic and the intensification from mixed-integer linear programming (MILP). The initial solution provided by a multistart heuristic is used to seed and accelerate the MILP in which a local branching framework and the separation of k-path inequalities are suitably combined. Computational experience shows promising results not only improving the initial solution provided by the multistart algorithm, but also ensuring optimality for most of the small- and medium-sized instances.
KW - COVRP
KW - MinMax objective
KW - matheuristic
KW - vehicle routing problem
UR - http://www.scopus.com/inward/record.url?scp=85052670816&partnerID=8YFLogxK
U2 - 10.1111/itor.12581
DO - 10.1111/itor.12581
M3 - Journal article
VL - 27
SP - 394
EP - 417
JO - International Transactions in Operational Research
JF - International Transactions in Operational Research
SN - 0969-6016
IS - 1
ER -