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基于遗传算法的重定位容错方法的研究

Research on Genetic-Based Algorithm Relocation Fault Tolerance Method
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摘要 随着网络成为人们获取信息的主要工具,人们对网络可靠性的要求也越来越高。针对网络中的结点出现故障而影响网络传输效率和可靠性问题,进行了基于遗传算法的重定位容错方法的研究。首先,描述了树型网络结构,根据网络组件的开销提出了网络代价目标函数。其次,阐述了遗传算法最小代价路径的搜索过程,提出了基于遗传算法的重定位容错方法。最后,通过仿真实验验证了重定位容错方法在路径搜索中的有效性。这样既缩短了路径搜索时间,又提高了网络传输信息的可靠性。 The network is becoming main tool for people fetching information,and people require high dependable network now.Because there are some faults in network nodes,which will effect on the efficiency and dependability of transmission.Genetic algorithm relocation fault tolerance method is studied in this paper.At first,the tree topological structures of networks is described,and the network costs-based objective function is put forward according to component costs of network.Second,the search process of genetic algorithm for minimum cost path is described.Meanwhile,the relocation fault tolerance method based on genetic algorithm is posed.At last,the method is verified by simulation experiments.Both the path search time is shorten and the dependability of network is improved in this way.
出处 《宇航学报》 EI CAS CSCD 北大核心 2012年第2期249-253,共5页 Journal of Astronautics
基金 中国博士后科学基金(20080440901) 黑龙江省青年资金(QC08C29)
关键词 拓扑结构 遗传算法 最小代价路径 重定位容错 Topological structure Genetic algorithm Minimum cost path Relocation fault tolerance
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