English

Balanced TSP partitioning

Computational Geometry 2025-04-16 v1 Data Structures and Algorithms

Abstract

The traveling salesman problem (TSP) famously asks for a shortest tour that a salesperson can take to visit a given set of cities in any order. In this paper, we ask how much faster k2k \ge 2 salespeople can visit the cities if they divide the task among themselves. We show that, in the two-dimensional Euclidean setting, two salespeople can always achieve a speedup of at least 12+1π0.818\frac12 + \frac1\pi \approx 0.818, for any given input, and there are inputs where they cannot do better. We also give (non-matching) upper and lower bounds for k3k \geq 3.

Keywords

Cite

@article{arxiv.2504.10657,
  title  = {Balanced TSP partitioning},
  author = {Benjamin Aram Berendsohn and Hwi Kim and László Kozma},
  journal= {arXiv preprint arXiv:2504.10657},
  year   = {2025}
}
R2 v1 2026-06-28T22:58:19.398Z