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May 29, 20260 citationsOpen Access

ETH Flippers Approach to Parallel Reconfiguration of Triangulations: SAT Formulation and Heuristics (CG Challenge)

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LBLorenzo BattiniMMMarko Milenković

Key Points

  • This research aims to devise algorithms for reconfiguring triangulations to minimize the parallel flip distance to a central triangulation.
  • Developed an exact solver for small/medium instances and heuristics for larger ones.
  • Formulated the problem as a SAT instance using XOR clauses for edge transitions.
  • Employed greedy local search and edge-coloring for larger instances to maximize independent flips.
  • Ranked second overall in the CG:SHOP 2026 Challenge, securing first in the junior category.
  • Computed provably optimal solutions for 186 out of 250 instances, demonstrating algorithm effectiveness.

Abstract

We describe the algorithms used by the ETH Flippers team in the CG:SHOP 2026 Challenge. Each instance consists of a set of triangulations on a common point set, and the objective is to find a central triangulation that minimizes the total parallel flip distance to the input set. Our strategy combines an exact solver for small and medium-sized instances with a suite of heuristics for larger instances. For the exact approach, we formulate the problem as a SAT instance with XOR clauses to model edge transitions across multiple rounds, further optimized by lower bounds derived from exact pairwise distances. For larger instances, we use a greedy local search and edge-coloring techniques to identify maximal sets of independent flips. Our approach ranked second overall and first in the junior category, computing provably optimal solutions for 186 out of 250 instances.

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Cite This Study

Battini et al. (2026) studied this question.

synapsesocial.com/papers/6a192dbbfab5b468c44168fbhttps://doi.org/10.4230/lipics.socg.2026.105
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