广东电力2018，Vol.31Issue(3)：115-119,5.DOI:10.3969/j.issn.1007-290X.2018.003.019
基于改进蚁群算法的电力巡检路径规划
Path Planning for Electric Power Patrol Based on Improved Ant Colony Algorithms
摘要
Abstract
In allusion to defects of traditional ant colony algorithms in solving the problem of path planning for electric power patrol such as long searching time and stagnation which may restrain convergence to global optimized solutions,the paper a-dopts improved ant colony algorithms including the chaos initialization algorithm and the diffluent ant algorithm to increase randomness of ants searching for paths and then overcome defects of traditional ant colony algorithms.Numerical simula-tions provide shorter electric power patrolling paths based on these two improved algorithms,which indicates the global opti-mized solutions obtained by improved ant colony algorithms are more economic than those of traditional ant colony algo-rithms.关键词
电力巡检/路径规划/蚁群算法/全局优化解Key words
electric power patrol/path planning/ant colony algorithm/global optimized solution分类
信息技术与安全科学引用本文复制引用
易琳,秦晓科,王刚,李安然,王柯,李雄刚..基于改进蚁群算法的电力巡检路径规划[J].广东电力,2018,31(3):115-119,5.基金项目
中国南方电网有限责任公司重大科技专项(GD-KJXM-20150903) （GD-KJXM-20150903）
