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Local Area Routes for Vehicle Routing Problems

arXiv 2207.04520 ↗First posted 10 Jul 2022math.OC cs.AIcited by 0

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Abstract (arXiv)

We consider an approach for improving the efficiency of column generation (CG) methods for solving vehicle routing problems. We introduce Local Area (LA) route relaxations, an alternative/complement to the commonly used ng-route relaxations and Decremental State Space Relaxations (DSSR) inside of CG formulations. LA routes are a subset of ng-routes and a super-set of elementary routes. Normally, the pricing stage of CG must produce elementary routes, which are routes without repeated customers, using processes which can be computationally expensive. Non-elementary routes visit at least one customer more than once, creating a cycle. LA routes relax the constraint of being an elementary route in such a manner as to permit efficient pricing. LA routes are best understood in terms of ng-route relaxations. Ng-routes are routes which are permitted to have non-localized cycles in space; this means that at least one intermediate customer (called a breaker) in the cycle must consider the starting customer in the cycle to be spatially far away. LA routes are described using a set of special indexes corresponding to customers on the route ordered from the start to the end of the route. LA route relaxations further restrict the set of permitted cycles beyond that of ng-routes by additionally enforcing that the breaker must be a located at a special index where the set of special indexes is defined recursively as follows. The first special index in the route is at index 1 meaning that it is associated with the first customer in the route. The k'th special index corresponds to the first customer after the k-1'th special index, that is not considered to be a neighbor of (considered spatially far from) the customer located at the k-1'th special index. We demonstrate that LA route relaxations can significantly improve the computational speed of pricing when compared to the standard DSSR.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 5 of its 44 references that are in the map. First posted on arXiv 10 Jul 2022.

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References · 5

  1. 2018The Electric Two-echelon Vehicle Routing Problemcited by 4
  2. 2020Smooth and flexible dual optimal inequalitiescited by 3
  3. 2021Detour Dual Optimal Inequalities for Column Generation with Application to Routing and Locationcited by 2
  4. 2021Graph Generation: A New Approach to Solving Expanded Linear Programming Relaxationscited by 1
  5. 2022Principled Graph Managementcited by 1

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