Fundaments of Branching Heuristics

O. Kullmann
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引用次数: 39

Abstract

“Search trees”, “branching trees”, “backtracking trees” or “enumeration trees” are at the heart of many (complete) approaches towards hard combinatorial problems, constraint problems, and, of course, SAT problems. Given many choices for branching, the fundamental question is how to guide the choices so that the resulting trees are (relatively) small. Despite (or perhaps because) of its apparently more narrow scope, especially in the SAT area several approaches from theory and applications have found together, and the rudiments of a theory of branching heuristics emerged. In this chapter the first systematic treatment is given. So a general theory of heuristics guiding the construction of “branching trees” is developed, ranging from a general theoretical analysis to the analysis of the historical development of branching heuristics for SAT solvers, and also to heuristics beyond SAT solving.
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分支启发式的基础
“搜索树”、“分支树”、“回溯树”或“枚举树”是解决硬组合问题、约束问题,当然还有SAT问题的许多(完整)方法的核心。给定许多分支选择,最基本的问题是如何引导这些选择,从而使生成的树(相对)较小。尽管(或者可能是因为)它的范围明显更窄,特别是在SAT领域,从理论和应用中找到了几种方法,并且分支启发式理论的雏形出现了。在本章中,第一次系统地论述了这一问题。因此,本文提出了一个指导“分支树”构造的一般启发式理论,从一般理论分析到对SAT求解分支启发式的历史发展的分析,以及对SAT求解之外的启发式的分析。
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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Fixed-Parameter Tractability Complete Algorithms A History of Satisfiability Automated Configuration and Selection of SAT Solvers Quantified Boolean Formulas
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