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基于改进蚁群算法的震后应急救灾车辆最优路径选择
CHANG Yun-jie WANG Sheng-Qin TAN Yang
湖南工学院计算机与信息科学学院 湖南工学院数理科学与能源工程学院
Path Selecting Optimization for Emergency Rescue after Seismic Disaster Based on ImprovedAnt ColonyAlgorithm
Department of Computer and Information Science Department of Mathematics and Physics
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Abstract:Aiming at the recently study which does not take into account the dynamic changes of the traffic capacity, the optimal path of disaster relief vehicles from disaster relief points to earthquake-striking spot is calculated based on improved ant colony algo- rithm. The improved algorithm modifies the transition probability according to the traffic capacity, adopts adaptive pheromone updat- ing strategy. The simulation results show that it can improve convergence rate and capacity of searching optimal solution. The im- proved algorithm can provide important decision-making basis for the post-earthquake rescue, which has important practical signifi- cance.
Key wordsant colony algorithm    seismic disaster    optimal path
年卷期日期: 2020-01-10      出版日期: 2020-01-13
引用本文:   
. 基于改进蚁群算法的震后应急救灾车辆最优路径选择[J]. 电脑与电信, .
CHANG Yun-jie WANG Sheng-Qin TAN Yang . Path Selecting Optimization for Emergency Rescue after Seismic Disaster Based on ImprovedAnt ColonyAlgorithm. Computer & Telecommunication, 2020, 1(1-2): 18-20.
链接本文:  
https://www.computertelecom.com.cn/CN/  或          https://www.computertelecom.com.cn/CN/Y2020/V1/I1-2/18
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