Optimal Algorithm of Node in Scale-Free Networks

摘要：

The optimization of node distribution is studied to reduce the energy consumption and ensure the effective information acquisition in scale-free network. A new method of node optimization based on the Genetic algorithm is proposed in the paper, Compared with the traditional ways of node optimization, the new method proposed in the paper can jump away from the local optimal solution. The rationality of node selection is an important factor to the life time of scale-free network, After the analysis of GA algorithm, the performance estimation is made and some optimal strategies are proposed, the proved algorithm is more accurate and efficient. It can improve networks robustness.

关键词： data mining genetic algorithm association rules, hubs, scale-free networks

作者: DAI Shangping GAO Li

作者单位: Department of Computer Science Hua Zhong Normal University Wu Han, 430079, China

会议类型: 国际会议

会议名称: 第二届国际计算机新科技与教育学术会议(Proceedings of the Second International Conference on Computer Science & Education ICCSE2007)

会议地点: 武汉

会议语种:英文

页码: 792-794

在线出版日期: 2007-07-25（万方平台首次上网日期，不代表论文的发表时间）