电测与仪表2017，Vol.54Issue(5)：75-79,90,6.
基于自适应多行为模式鱼群算法的电能计量设备运维作业优化研究
Research on operating and maintaining task optimization of electric metering device based on adaptive multi-behavior fish swarm algorithm
摘要
Abstract
Due to the development of net and information technology in power industry,the traditional operating and maintaining mode of electric metering device (OM-EM) is not fit for the modem requirement.In terms of the weaknesses of traditional mode of OM-EM,for instance,the unscientific path planning,long time cost and high energy cost,and the difficulty in grasping and adjusting process of OM-EM work,this paper proposes a rew method.A novel multi-behavior fish swarm algorithm (MB-FSA) is proposed,and is also utilized in solving OM-EM problem based on the mathematical model which is also built in this study.Experimental simulation result shows that the proposed MBFSA outperforms some state-of-the-art algorithms significantly,and can solve the OM-EM problem effectively.关键词
人工鱼群算/路径优化/电能计量设备/运维作业优化Key words
fish swarm algorithm/path optimization/electric metering device/operating and maintaining task optimization分类
信息技术与安全科学引用本文复制引用
张思建,唐若笠,张捷,方彦军..基于自适应多行为模式鱼群算法的电能计量设备运维作业优化研究[J].电测与仪表,2017,54(5):75-79,90,6.基金项目
国家自然科学基金资助项目(61201168) （61201168）
