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 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 , for any given input, and there are inputs where they cannot do better. We also give (non-matching) upper and lower bounds for .
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}
}