Resource-robust valid inequalities for vehicle routing and related problems

Fuente: arXiv
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Main Authors: Hoogendoorn, Ymro N., Dalmeijer, Kevin
Format: Preprint
Published: 2023
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author Hoogendoorn, Ymro N.
Dalmeijer, Kevin
author_facet Hoogendoorn, Ymro N.
Dalmeijer, Kevin
contents Branch-price-and-cut algorithms play an important role in solving many vehicle routing problems (VRPs). Adding valid inequalities in this framework can impact the pricing subproblem, for which the literature distinguishes between 'robust' and 'non-robust' cuts. We define the 'robust application' of a cut in a specific context, making this distinction more precise. Next, we define broader 'resource-robust applications' that can be handled efficiently in the subproblem. We then introduce new resource-robust valid inequalities and show computational benefits for the capacitated VRP.
format Preprint
id arxiv_https___arxiv_org_abs_2311_04825
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Resource-robust valid inequalities for vehicle routing and related problems
Hoogendoorn, Ymro N.
Dalmeijer, Kevin
Optimization and Control
Branch-price-and-cut algorithms play an important role in solving many vehicle routing problems (VRPs). Adding valid inequalities in this framework can impact the pricing subproblem, for which the literature distinguishes between 'robust' and 'non-robust' cuts. We define the 'robust application' of a cut in a specific context, making this distinction more precise. Next, we define broader 'resource-robust applications' that can be handled efficiently in the subproblem. We then introduce new resource-robust valid inequalities and show computational benefits for the capacitated VRP.
title Resource-robust valid inequalities for vehicle routing and related problems
topic Optimization and Control
url https://arxiv.org/abs/2311.04825