核心扩展优化填字游戏

A. Botea, V. Bulitko
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引用次数: 1

摘要

在约束优化中,许多问题实例对目前的技术仍具有挑战性。我们关注的是罗马尼亚填字游戏竞赛问题。这是一个具有挑战性的NP-hard约束优化问题,其中最先进的人工智能远远落后于顶级人类的表现。我们提出了一种方法,首先建立一个核心,这是问题的一部分,对目标函数有很大的贡献。一个核心成长为一个种子,一个包含定义和实例化的变量子集的部分解决方案。种子进一步扩展成全溶液。我们的方法将考虑的矩形核的大小以及核内零个或多个黑色细胞的位置作为输入。研究结果大大促进了国家的发展。我们报告了获得的分数的提升,将我们的顶级解决方案带入了顶级人类条目的附近。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Core Expansion in Optimization Crosswords
In constraint optimization many problem instances remain challenging to current technology. We focus on the Romanian Crosswords Competition Problem. It is a challenging, NP-hard constraint optimization problem where state-of-the-art AI has been lagging significantly behind top human performance. We present an approach that first builds a core, a portion of the problem that will have a high contribution to the objective function. A core is grown into a seed, a partial solution with a subset of variables defined and instantiated. Seeds are further extended into full solutions. Our approach takes as input the size of a rectangular core to consider, and the locations of zero or more black cells inside the core. The results advance state-of-the-art substantially. We report a boost in the scores obtained, bringing our top solutions in the vicinity of top human entries.
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