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二部图最大权匹配的符号ADD算法
引用本文:姚家保,古天龙,徐周波. 二部图最大权匹配的符号ADD算法[J]. 桂林电子科技大学学报, 2005, 25(3): 42-46
作者姓名:姚家保  古天龙  徐周波
作者单位:桂林电子工业学院,计算机系,广西,桂林,541004;桂林电子工业学院,计算机系,广西,桂林,541004;桂林电子工业学院,计算机系,广西,桂林,541004
基金项目:广西自然科学基金资助项目(0448072)
摘    要:利用代数决策图ADD数据结构,在KM算法基础上,提出了一种二部图最大权匹配的符号ADD算法。该算法引入优先函数概念,将传统的匹配选择转化成布尔运算,"并行"地搜索匹配集合。实验结果表明:与传统算法相比,该算法可以改善问题的状态空间复杂度。

关 键 词:二部图  最大权匹配  代数决策图
文章编号:1001-7437(2005)03-42-05
修稿时间:2005-04-07

An ADD-based Algorithm for Maximum Weight Matching in Bipartite Graphs
YAO Jia-bao,GU Tian-long,XU Zhou-bo. An ADD-based Algorithm for Maximum Weight Matching in Bipartite Graphs[J]. Journal of Guilin University of Electronic Technology, 2005, 25(3): 42-46
Authors:YAO Jia-bao  GU Tian-long  XU Zhou-bo
Abstract: Algebraic Decision Diagram is a new efficient approach to solve combinatorial optimization problems. In this paper, according to Kuhn-Munkres algorithm, the authors propose a symbolic algorithm based on ADD data structure for the maximum weight matching in bipartite graphs. By using symbolic manipulations, this algorithm introduces the priority function applied to a "parallel" search for the set of matching. Compared with the traditional algorithms, the experimental results demonstrate that the algorithm can improve state space complexity of the problem.
Keywords:bipartite graphs   maximum weight matching   ADD (Algebraic Decision Diagram)
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