首页> 外文会议>IEEE International Conference on Software Engineering and Service Science >Application of Improved Ant Colony Algorithm in Distribution Network Patrol Route Planning
【24h】

Application of Improved Ant Colony Algorithm in Distribution Network Patrol Route Planning

机译:改进蚁群算法在配送网络巡逻路线规划中的应用

获取原文

摘要

In order to improve the efficiency of electrical patrol, we need to develop a scientific and reasonable patrol route planning. By analyzing the electrical route patrol work content and features, we establish a patrol route planning model based VRP, and use the improved ant colony algorithm to solve this problem. For traditional ant colony algorithm, improve the algorithms from the transition probability, using of joint control with two parameters, which improves the computational efficiency of ant colony algorithm, makes up the disadvantage that traditional ant colony algorithm's training efficiency is low and easy to produce local minimum because of the parameter settings inaccurate. The experiment result shows that patrol route optimization by this method improves the scientificity and ratio nality of patrol programs as well as improves efficiency of the electrical patrol department.
机译:为了提高电气巡逻的效率,我们需要制定科学合理的巡逻路线规划。通过分析电气路线巡逻工作内容和特征,我们建立了基于巡逻路线规划模型的VRP,并使用改进的蚁群算法来解决这个问题。对于传统的蚁群算法,改善来自转换概率的算法,使用带有两个参数的联合控制,这提高了蚁群算法的计算效率,构成了传统的蚁群算法的训练效率低且易于生产本地的缺点因为参数设置不准确,因为实验结果表明,该方法的巡逻路线优化提高了巡逻计划的科学性和比率,提高了电气巡逻部门的效率。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号