The Selective Traveling Salesman Problem (STSP) is defined on a graph in which profits are associated with vertices and costs are associated with edges. Some vertices are compulsory. The aim is to construct a tour of maximal profit including all compulsory vertices and whose cost does not exceed a p
A branch-and-cut algorithm for the undirected prize collecting traveling salesman problem
✍ Scribed by Jean-François Bérubé; Michel Gendreau; Jean-Yves Potvin
- Publisher
- John Wiley and Sons
- Year
- 2009
- Tongue
- English
- Weight
- 130 KB
- Volume
- 54
- Category
- Article
- ISSN
- 0028-3045
No coin nor oath required. For personal study only.
✦ Synopsis
Abstract
Given an undirected graph with edge costs and vertex prizes, the aim of the Prize Collecting Traveling Salesman Problem (PCTSP) is to find a simple cycle minimizing the total edge cost while collecting at least a minimum amount of prizes. In this article, we present a branch‐and‐cut algorithm to solve the PCTSP. We have adapted and implemented some classical polyhedral results for the PCTSP and derived inequalities from cuts designed for the Orienteering Problem. Computational results on instances with more than 500 vertices are reported. © 2009 Wiley Periodicals, Inc. NETWORKS, 2009
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