An improved approximation algorithm for TSP in the half integral case

15Citations
Citations of this article
16Readers
Mendeley users who have this article in their library.

Abstract

We design a 1.49993-approximation algorithm for the metric traveling salesperson problem (TSP) for instances in which an optimal solution to the subtour linear programming relaxation is half-integral. These instances received significant attention over the last decade due to a conjecture of Schalekamp, Williamson and van Zuylen stating that half-integral LP solutions have the largest integrality gap over all fractional solutions. So, if the conjecture of Schalekamp et al. holds true, our result shows that the integrality gap of the subtour polytope is bounded away from 3/2.

Cite

CITATION STYLE

APA

Karlin, A. R., Klein, N., & Gharan, S. O. (2020). An improved approximation algorithm for TSP in the half integral case. In Proceedings of the Annual ACM Symposium on Theory of Computing (pp. 28–39). Association for Computing Machinery. https://doi.org/10.1145/3357713.3384273

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free