The Nearest Neighbor Algorithm for Balanced and Connected k-Center Problem under Modular Distance

Rui Li, Zilan Yang
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Abstract

The k-center problem is a famous NP complete problem in combinatorial optimization. Under the traditional distance, there is a 2-approximation algorithm for the center problem, and the partition from the center satisfies the internal connectivity. However, under the modular distance, the partition obtained by the traditional center algorithm may not satisfy the internal connectivity. Therefore, this paper proposes the problem of balanced and connected center under modular distance, and designs a nearest neighbor algorithm. Finally, an example is given to prove the correctness of the algorithm.
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模距离下平衡连通k中心问题的最近邻算法
k中心问题是组合优化中一个著名的NP完全问题。在传统距离下,中心问题采用2-逼近算法,中心的划分满足内部连通性。然而,在模距离下,传统中心算法得到的分区可能不能满足内部连通性。为此,本文提出了模距离下的中心平衡连通问题,并设计了一种最近邻算法。最后通过一个算例验证了算法的正确性。
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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