摘要
本文对KMB算法进行了改进,提出了一种快速的最小代价组播树算法,它只需使用一次PR IM算法,也不需要判断叶结点,从而快速地获得了最小代价组播树,减少了算法的运行时间。随机网络模型的仿真实验表明:该算法的计算时间远小于KMB算法,是一种快速、稳定、高效的算法。
In this paper,we has improved the KMB algorithm and propose a fast algorithm of minimum cost muhicast tree. The algorithm uses PRIM algorithm only once and needn't judge if the leaf of the tree is the member of a group or not. Thus the running time was decreased in our algoritbm. And tbe minimum cost tree was obtained very fast. The simulated experience result sbows that the computed time of this algoritbm is far less tban the KMB algorithm,and it is a fast,stable and efficient heuristic.
出处
《计算机应用与软件》
CSCD
北大核心
2006年第2期25-27,共3页
Computer Applications and Software
基金
广西自然科学基金项目(桂科自0299008)
广西科学研究和技术开发计划应用基础研究专项项目(桂科基0342011)
广西"新世纪十百千人才工程"专项基金项目(桂人函2001213号)的联合资助