• DOI:10.1007/s10107-012-0620-1
• Corpus ID: 1669870

The traveling salesman problem on cubic and subcubic graphs

@article{Boyd2014TheTS,
  title={The traveling salesman problem on cubic and subcubic graphs},
  author={Sylvia C. Boyd and Ren{\'e} Sitters and Suzanne van der Ster and Leen Stougie},
  journal={Mathematical Programming},
  year={2014},
  volume={144},
  pages={227-245}
}

• S. Boyd, René Sitters, +1 author L. Stougie
• Published 6 July 2011
• Mathematics, Computer Science
• Mathematical Programming

We study the traveling salesman problem (TSP) on the metric completion of cubic and subcubic graphs, which is known to be NP-hard. The problem is of interest because of its relation to the famous 4/3-conjecture for metric TSP, which says that the integrality gap, i.e., the worst case ratio between the optimal value of a TSP instance and that of its linear programming relaxation (the subtour elimination relaxation), is 4/3. We present the first algorithm for cubic graphs with approximation ratio 4/3. The proof uses polyhedral techniques in a surprising way, which is of independent interest. In fact we prove constructively that for any cubic graph on $$n$$ vertices a tour of length $$4n/3-2$$ exists, which also implies the 4/3-conjecture, as an upper bound, for this class of graph-TSP. Recently, Mömke and Svensson presented an algorithm that gives a 1.461-approximation for graph-TSP on general graphs and as a side result a 4/3-approximation algorithm for this problem on subcubic graphs, also settling the 4/3-conjecture for this class of graph-TSP. The algorithm by Mömke and Svensson is initially randomized but the authors remark that derandomization is trivial. We will present a different way to derandomize their algorithm which leads to a faster running time. All of the latter also works for multigraphs.