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Solving MaxSAT by Successive Calls to a SAT Solver

机译:通过连续调用saT求解器来解决maxsaT问题

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摘要

The Maximum Satisfiability (MaxSAT) problem is the problem of finding a truthassignment that maximizes the number of satisfied clauses of a given Booleanformula in Conjunctive Normal Form (CNF). Many exact solvers for MaxSAT havebeen developed during recent years, and many of them were presented in thewell-known SAT conference. Algorithms for MaxSAT generally fall into twocategories: (1) branch and bound algorithms and (2) algorithms that usesuccessive calls to a SAT solver (SAT- based), which this paper in on. Inpractical problems, SAT-based algorithms have been shown to be more efficient.This paper provides an experimental investigation to compare the performance ofrecent SAT-based and branch and bound algorithms on the benchmarks of theMaxSAT Evaluations.
机译:最大可满足性(MaxSAT)问题是找到一个真相赋值的问题,该赋值赋值使给定布尔形式的合取范式(CNF)的满足从句的数量最大化。近年来,已经开发了许多针对MaxSAT的精确求解器,其中许多已在著名的SAT会议上进行了介绍。用于MaxSAT的算法通常分为两类:(1)分支定界算法和(2)使用对SAT求解器(基于SAT)的成功调用的算法。在实际应用中,基于SAT的算法被证明是效率更高的。本文提供了一项实验研究,以比较最近基于SAT的算法和分支定界算法在MaxSAT评估基准上的性能。

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    Halaby, Mohamed El;

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  • 年度 2016
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