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The hybrid of depth first search technique and Kruskal's algorithm for solving the multiperiod degree constrained minimum spanning tree problem

机译:深度优先搜索技术与Kruskal算法的混合解决多周期度约束最小生成树问题

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Given edge weighted graph G(V,E) (all weights are nonnegative) where vertices can represent terminals, cities, etc., and edges can represent cables, road, etc., the Multi Period Degree Constrained Minimum Spanning Tree Problem (MPDCMST) is a problem of finding the total minimum installation cost whilst also maintaining the maximum number of edges incidence to every vertex. The restriction of the links on every vertex occurs to keep the reliability of the network. Moreover, the installation process also divided into some periods due to fund limitation. In this research we will discuss the hybrid between the depth first search technique and Kruskal's Algorithm applying to solve the MPDCMST problem.
机译:给定边缘加权图G(V,E)(所有权重均为非负),其中顶点可以表示终端,城市等,而边缘可以表示电缆,道路等,则多周期度约束的最小生成树问题(MPDCMST)找到总的最小安装成本,同时还要保持每个顶点的最大边缘入射数是一个问题。每个顶点上的链接都受到限制,以保持网络的可靠性。而且,由于资金的限制,安装过程也分为一些时期。在这项研究中,我们将讨论深度优先搜索技术和Kruskal算法在解决MPDCMST问题中的混合。

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