Abstract
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.
Original language | English |
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Journal | International Transactions in Operational Research |
Volume | 27 |
Issue | 1 |
Pages (from-to) | 394-417 |
Number of pages | 24 |
ISSN | 0969-6016 |
DOIs | |
Publication status | Published - 2020 |
Keywords
- COVRP
- MinMax objective
- matheuristic
- vehicle routing problem