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最小支配阈值集问题的降阶回溯算法

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图论中的最小支配阈值集问题是组合优化中的一个 NP-Hard 问题,该问题是最小支配集问题的一个扩展问题.基于给定无向图G=(V,E)和阈值r 的最小支配阈值集问题进行研究,首先得出一些可以降低问题规模的数学性质并证明,利用这些性质可以减小问题规模,降低问题的求解难度;然后设计出上界子算法、下界子算法和降阶子算法,并基于这些子算法提出了一种可以减小问题规模同时得到最优解的降阶回溯算法BAR;最后,通过一个示例分析和若干随机算例测试验证了降阶回溯算法可有效降低问题的求解难度.
A backtracking algorithm with reduction for the threshold-minimum dominating set problem
The threshold-minimum dominating set problem in graph theory is a NP-hard problem in combinatorial optimization,which is essentially an extension of the minimum dominant set problem.This paper studies the threshold-minimum dominating set problem for the given undirected graph G=(V,E)and threshold value r.Firstly,some mathematical properties and corresponding proof are stud-ied,and these properties can be used to reduce the size of the given problem,thereby reducing the diffi-culty of the problem solving.Secondly,the upper and lower bound sub-algorithms and the reduced order sub-algorithm are designed.Based on these sub-algorithms,a backtracking algorithm with reduction(BAR)is pro-posed,which can reduce the problem size and get the optimal solution.Finally,an example analysis and some random examples verifies that the algorithm can effectively reduce the difficulty of problem-solving.

threshold-minimum dominating set problemmathematical propertyupper and lower bound algorithmbacktracking algorithm with reduction

储旭、宁爱兵、胡开元、代苏玉、张惠珍

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上海理工大学管理学院,上海 200093

最小支配阈值集问题 数学性质 上下界算法 降阶回溯算法

国家自然科学基金

71401106

2024

计算机工程与科学
国防科学技术大学计算机学院

计算机工程与科学

CSTPCD北大核心
影响因子:0.787
ISSN:1007-130X
年,卷(期):2024.46(5)
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