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Research on the Shortest Path of Two Places in Urban Based on Improved Ant Colony Algorithm

机译:基于改进蚁群算法的城市两地最短路径研究

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摘要

Based on the GIS electronic map and traffic control information database, a shortest path algorithm based on GIS technology is proposed, the A and B geographic information of the monitoring points are extracted, and the shortest path algorithm is used to solve the shortest path between A and B. Using the improved ant colony algorithm to calculate the shortest distance from the start node to the target node. In view of the phenomenon of ant colony algorithm convergence speed is slow and easy to fall into premature defects, and the effective measures for improvement was put forward, and take the simplifying road network as an example, a simulation of the algorithm was conducted. The satisfactory results of the simulation verify the effectiveness of the algorithm.
机译:基于GIS电子地图和交通控制信息数据库,提出了一种基于GIS技术的最短路径算法,提取了监测点的A和B地理信息,并采用最短路径算法求解了A之间的最短路径。 B.使用改进的蚁群算法来计算从起始节点到目标节点的最短距离。针对蚁群算法收敛速度慢,容易陷入过早缺陷的现象,提出了有效的改进措施,并以简化路网为例,对该算法进行了仿真。仿真结果令人满意,验证了算法的有效性。

著录项

  • 来源
  • 会议地点 Beijing(CN)
  • 作者单位

    College of Biological and Agricultural Engineering, Jilin University, Changchun, China,Mechatronic Engineering, Changchun University of Technology, Changchun, China;

    College of Biological and Agricultural Engineering, Jilin University, Changchun, China;

    College of Biological and Agricultural Engineering, Jilin University, Changchun, China;

    College of Mechanical Engineering, Beihua University, Jilin City, China;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Ant colony algorithm; Simulation; Path; Convergence speed;

    机译:蚁群算法;模拟;路径;收敛速度;
  • 入库时间 2022-08-26 14:10:31

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