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arXiv 0803.2955cond-mat.stat-mechcond-mat.dis-nncs.CC
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锁定约束满足问题

Locked constraint satisfaction problems

Lenka Zdeborová, Marc Mézard

摘要:

我们介绍和研究随机“锁定”约束满足问题。当增加约束的密度时,它们显示出一个广泛的“聚类”阶段,其中解的空间被分成许多孤立的点。虽然相图可以很容易地找到,但这些问题在其集群阶段,从算法的角度来看是非常困难的:最知名的算法都无法找到解决方案。因此,我们提出了新的基准,真正困难的优化问题,并提供洞察其典型的硬度的起源。

英文摘要:

We introduce and study the random "locked" constraint satisfaction problems. When increasing the density of constraints, they display a broad "clustered" phase in which the space of solutions is divided into many isolated points. While the phase diagram can be found easily, these problems, in their clustered phase, are extremely hard from the algorithmic point of view: the best known algorithms all fail to find solutions. We thus propose new benchmarks of really hard optimization problems and provide insight into the origin of their typical hardness.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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