Bounded Combinatorial Reconfiguration with Answer Set Programming
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Abstract (arXiv)
We develop an approach called bounded combinatorial reconfiguration for solving combinatorial reconfiguration problems based on Answer Set Programming (ASP). The general task is to study the solution spaces of source combinatorial problems and to decide whether or not there are sequences of feasible solutions that have special properties. The resulting recongo solver covers all metrics of the solver track in the most recent international competition on combinatorial reconfiguration (CoRe Challenge 2022). recongo ranked first in the shortest metric of the single-engine solvers track. In this paper, we present the design and implementation of bounded combinatorial reconfiguration, and present an ASP encoding of the independent set reconfiguration problem that is one of the most studied combinatorial reconfiguration problems. Finally, we present empirical analysis considering all instances of CoRe Challenge 2022.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 6 of its 31 references that are in the map. First posted on arXiv 20 Jul 2023.
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6 of 31 references.
References · 6
- 2017Multi-shot ASP solving with clingocited by 115
- 2020How to build your own ASP-based system?!cited by 20
- 2014Shortest reconfiguration paths in the solution space of Boolean formulascited by 3
- 2014Reconfiguration of Cliques in a Graphcited by 2
- 2015The complexity of dominating set reconfigurationcited by 2
- 2022Core Challenge 2022: Solver and Graph Descriptionscited by 1
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