A Simple and Effective ASP-Based Tool for Enumerating Minimal Hitting Sets

The hitting set problem is a fundamental problem in computer science and mathematics. Given a family of sets over a universe of elements, a minimal hitting set is a subset-minimal collection of elements that intersects each set in the family. Enumerating all minimal hitting sets is crucial in various real-world applications. In this paper, we address the full enumeration of all minimal hitting sets for a given family of sets. We formulate the problem using Answer Set Programming (ASP) and leverage existing ASP solvers for efficient enumeration. We propose an ASP-based tool, MinHit-ASP, and our empirical evaluation shows that it effectively enumerates minimal hitting sets across benchmarks from diverse problem domains.

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Publication Details

Journal
Electronic Proceedings in Theoretical Computer Science
Published
2026-01-08
DOI
https://doi.org/10.4204/eptcs.439.17
Primary Topic
Logic, Reasoning, and Knowledge
Type
article
Field-Weighted Citation Impact
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article

A Simple and Effective ASP-Based Tool for Enumerating Minimal Hitting Sets

Kuldeep S. Meel, Mohimenul Kabir
Electronic Proceedings in Theoretical Computer Science
Logic, Reasoning, and Knowledge
article

A Simple and Effective ASP-Based Tool for Enumerating Minimal Hitting Sets

Kuldeep S. Meel, Mohimenul Kabir
article en

Abstract

The hitting set problem is a fundamental problem in computer science and mathematics. Given a family of sets over a universe of elements, a minimal hitting set is a subset-minimal collection of elements that intersects each set in the family. Enumerating all minimal hitting sets is crucial in various real-world applications. In this paper, we address the full enumeration of all minimal hitting sets for a given family of sets. We formulate the problem using Answer Set Programming (ASP) and leverage existing ASP solvers for efficient enumeration. We propose an ASP-based tool, MinHit-ASP, and our empirical evaluation shows that it effectively enumerates minimal hitting sets across benchmarks from diverse problem domains.

Electronic Proceedings in Theoretical Computer ScienceVol. 439
Georgia Institute of Technology (US), National University of Singapore (SG)
Openalex Percentile: Top 99%
Logic, Reasoning, and Knowledge
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