MaxSAT Evaluation 2020 -- Benchmark: Identifying Maximum Probability Minimal Cut Sets in Fault Trees

Martín Barrère; Chris Hankin

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arXiv · 2007.08255

MaxSAT Evaluation 2020 -- Benchmark: Identifying Maximum Probability Minimal Cut Sets in Fault Trees

Martín Barrère·Chris Hankin

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Abstract

This paper presents a MaxSAT benchmark focused on the identification of Maximum Probability Minimal Cut Sets (MPMCSs) in fault trees. We address the MPMCS problem by transforming the input fault tree into a weighted logical formula that is then used to build and solve a Weighted Partial MaxSAT problem. The benchmark includes 80 cases with fault trees of different size and composition as well as the optimal cost and solution for each case.

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BibTeX RIS

Martín Barrère, Chris Hankin. 2020-07-16. MaxSAT Evaluation 2020 -- Benchmark: Identifying Maximum Probability Minimal Cut Sets in Fault Trees. https://arxiv.org/abs/2007.08255

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