We provide an exact optimization algorithm for the electric vehicle routing problem with multiple recharge technologies. Our branch-and-cut-and-price algorithm relies upon a path-based formulation, where each column in the master problem repre-sents a sequence of customer visits between two recharge stations instead of a whole route. This allows for massive decomposition, and parallel implementation of the pricing phase, exploiting the large number of independent pricing sub-problems. The algorithm could solve instances with up to thirty customers, nine recharge sta-tions, five vehicles and three technologies to proven optimality. Near-optimal heu-ristic solutions were obtained with a general-purpose MIP solver from the columns generated at the root node.
A Branch-and-Cut-and-Price Algorithm for the Electric Vehicle Routing Problem with Multiple Technologies / A. Ceselli, Á. Felipe, M. Teresa Ortuño, G. Righini, G. Tirado. - In: SN OPERATIONS RESEARCH FORUM. - ISSN 2662-2556. - 2:1(2021 Jan 26). [10.1007/s43069-020-00052-x]
A Branch-and-Cut-and-Price Algorithm for the Electric Vehicle Routing Problem with Multiple Technologies
A. Ceselli
Primo
;G. RighiniPenultimo
;
2021
Abstract
We provide an exact optimization algorithm for the electric vehicle routing problem with multiple recharge technologies. Our branch-and-cut-and-price algorithm relies upon a path-based formulation, where each column in the master problem repre-sents a sequence of customer visits between two recharge stations instead of a whole route. This allows for massive decomposition, and parallel implementation of the pricing phase, exploiting the large number of independent pricing sub-problems. The algorithm could solve instances with up to thirty customers, nine recharge sta-tions, five vehicles and three technologies to proven optimality. Near-optimal heu-ristic solutions were obtained with a general-purpose MIP solver from the columns generated at the root node.File | Dimensione | Formato | |
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