Pseudo-Boolean and Cardinality Constraints

Olivier Roussel, Vasco M. Manquinho
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引用次数: 109

Abstract

Pseudo-Boolean and cardinality constraints are a natural generalization of clauses. While a clause expresses that at least one literal must be true, a cardinality constraint expresses that at least n literals must be true and a pseudo-Boolean constraint states that a weighted sum of literals must be greater than a constant. These contraints have a high expressive power, have been intensively studied in 0/1 programming and are close enough to the satisfiability problem to benefit from the recents advances in this field. Besides, optimization problems are naturally expressed in the pseudo-Boolean context. This chapter presents the inference rules on pseudo-Boolean constraints and demonstrates their increased inference power in comparison with resolution. It also shows how the modern satisfiability algorithms can be extended to deal with pseudo-Boolean constraints.
伪布尔约束和基数约束
伪布尔约束和基数约束是子句的自然泛化。子句表示至少有一个字面值必须为真,而基数约束表示至少有n个字面值必须为真,伪布尔约束表示字面值的加权和必须大于一个常数。这些约束具有很高的表达能力,已经在0/1编程中进行了深入研究,并且与可满足性问题足够接近,可以从该领域的最新进展中受益。此外,优化问题自然地表达在伪布尔上下文中。本章给出了伪布尔约束的推理规则,并演示了它们与解析相比增加的推理能力。它还展示了如何将现代可满足性算法扩展到处理伪布尔约束。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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