Published October 16, 2020
| Version v1
Publication
Relationship between k-cutsets and comb inequalities
Creators
Description
The TSP is the problem of finding a single cycle going through all the vertices of a graph suchthat the sum of the costs of the edges it contains is minimal. It has many applications andhas been motivated by concrete problems, such as school bus routes, logistics, routing, etc. Itis solved in CP with the WCC [2] and the k-cutset constraint [4]. The TSP can also be solvedby the MIP dedicated solver Concorde [1] which uses an LP model in combination with thecutting-plane method. The CP and MIP use structural constraints for their solving. In thisarticle, we show that the formulations look very different but they are in fact very similar.
Abstract
The TSP is an NP-Complete problem that has been motivated by concrete problems, such as school bus routes, logistics, routing, etc. Almost all types of resolution methods (MIP, SAT, CP, evolutionary algorithms, etc.) have been used to solve it. In this paper, we are interested by two of them: CP and MIP. The CP method is manly based on the Lagrangian Relaxation of the 1-Tree. The MIP method uses an LP model in combination with cutting-planes. Both of them use structural constraints for their solving. We show that although the formulations of these constraints seem very different, they are in fact very similar.Additional details
Identifiers
- URL
- https://hal.archives-ouvertes.fr/hal-02969598
- URN
- urn:oai:HAL:hal-02969598v1
Origin repository
- Origin repository
- UNICA