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A Variable Neighborhood Search for Solving Sudoku Puzzles

机译:可变邻域搜索解决数独谜题

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摘要

Sudoku is a well-known puzzle that has achieved international popularity in the latest decade. Recently, there are explosive growths in the application of metaheuristic algorithms for solving Sudoku puzzles. In this paper, an algorithm based on Variable Neighborhood Search (VNS) is proposed to solve the Sudoku problem and the details of the implementation such as problem representation, neighbourhood structures are explained. The proposed algorithm is tested with Sudoku benchmarks which have been used in previous studies. The experimental results indicate that VNS is able to produce competitive results in easy level puzzles and promising results in medium and hard level puzzles.
机译:Sudoku是一个知名的谜题,最近十年实现了国际人气。最近,在求解Sudoku拼图的应用中存在爆炸性增长。在本文中,提出了一种基于可变邻域搜索(VNS)的算法来解决Sudoku问题,并且解释了诸如问题表示,邻域结构的实现的细节。该算法用Sudoku基准测试,这些算法已在以前的研究中使用。实验结果表明,VNS能够在简单的水平拼图中产生竞争力,并且有希望在中级难题的结果。

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