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求解多目标最小生成树问题的改进算法
An Improved Algorithm to Solve the Multi-Criteria Minimum Spanning Tree Problem
【摘要】 多目标最小生成树问题是典型的NP问题,Zhou和Gen提出了一种用于计数多目标最小生成树问题的所有非劣最优最小生成树的算法,但该算法无法保证能够找到所有非劣最优最小生成树.针对此问题,提出一种改进的计数算法,并定性说明改进算法能够找到问题的所有非劣最优最小生成树.改进算法在进行子树剔除时增加了一些条件.模拟实验结果表明,改进后的计数算法能够找到所有的非劣最优解.这也说明该算法具有应用的潜力.
【Abstract】 The multi-criteria minimum spanning tree (mc-MST) problem is a typical NP-hard problem. An algorithm to enumerate the set of Pareto optimal spanning trees on some mc-MST instances was put forward by Zhou and Gen, but it does not guarantee returning all the Pareto optimal solutions. To settle this problem, an improved algorithm is developed and also proved to be able to find all the true Pareto optimal solutions in this paper. The new algorithm adds some conditions in the elimination of subtrees. Simulation results show that the new algorithm can find all the Pareto optimal solutions and also show that the new algorithm has potential usage in practice.
- 【文献出处】 软件学报 ,Journal of Software , 编辑部邮箱 ,2006年03期
- 【分类号】TP301.6
- 【被引频次】18
- 【下载频次】1113