%0 Journal Article
%T 基于多目标遗传算法的无线传感器网络重新部署方法<br>Based on multi-objective genetic algorithm wireless sensor network re-deploying method
%A 邹长忠
%J 福州大学学报(自然科学版)
%D 2015
%R 10.7631/issn.1000-2243.2015.03.0317
%X 研究节点动态移动以增强覆盖率，同时考虑节点的最大移动距离最小化. 通过引入虚拟合力对基因进行变异，提出一种基于NSGA-II框架的改进的多目标遗传算法，达到网络覆盖率与节点移动距离之间的平衡.实验证明，该结果能得到较分散的前沿占优解.<br>In this paper，the dynamic movement of the nodes to enhance the coverage is studied，and minimizing the maximum moving distances of nodes is considered. With virtual force on genetic variation a based on NSGA-II modified multi-objective genetic algorithm is proposed to reach a compromise between network coverage and moving distances of nodes. Experimental results state that the proposed algorithm can get more decentralized Pareto optimal set
%K 多目标遗传算法 传感器网络 部署 覆盖&lt
%K br&gt
%K multi-objective genetic algorithm sensor network deploying covering
%U http://xbzrb.fzu.edu.cn/ch/reader/view_abstract.aspx?file_no=201503005&flag=1