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June 10, 20260 citationsOpen Access

On Fréchet Traveling Salesmen Problems

OFOmrit FiltserTMTzalik MaimonMMMichal Moiseev

Key Points

  • The aim is to explore a new application of Fréchet distance in creating curves for agents visiting a set of sites.
  • Developed a near-linear algorithm for minimizing the discrete Fréchet distance between two curves.
  • Analyzed various problem variants including curve length minimization and site distribution among agents.
  • Proved NP-hardness of the problem when using continuous Fréchet distance.
  • Introduced a novel approach to apply Fréchet distance in routing contexts.
  • Demonstrated efficiency of the near-linear algorithm for specific scenarios.
  • Validated the complexity of the proposed problems by proving NP-hardness.

Abstract

The Fréchet distance is a well-studied distance measure between two curves. In this work, we demonstrate that the merit of Fréchet distance extends beyond evaluating similarity, and introduce a new setting in which it proves useful. Consider a situation where two agents are required to visit a given set of sites, while staying close to each other throughout their traversal. In this paper, we study problems where the goal is to construct two curves whose vertices are from a given set of points, under the constraint that the Fréchet distance between the curves is kept as small as possible. This problem can be viewed as a variant of the Traveling Salesman Problem (TSP), and thus may be of interest in routing, network planning and more. We present a near-linear algorithm for this problem under the discrete Fréchet distance, and explore several variants of the problem, including minimizing the lengths of the curves and balancing the number of sites assigned to each agent. Lastly, we prove that the problem is NP-hard under the continuous Fréchet Distance.

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Cite This Study

Filtser et al. (2026) studied this question.

synapsesocial.com/papers/6a2900d96f82f25be989d5cehttps://doi.org/10.4230/lipics.swat.2026.18
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