一种基于多起点、多终点的大型火灾救援路径规划方法

摘要/Abstract

摘要： 针对多起点、多待救援点、多出口的联合应急救援实时路径规划问题,提出了改进蚁群算法(IACA),设计了一种组合优化的路径构造方法。为了提高蚁群算法的收敛性,实时更新两位置节点间的当量距离,改进信息素更新规则,自适应地动态调整信息素挥发度参数,构造了一种与蚁群算法有效结合的局部搜索算法,提高了算法快速寻优的能力。为了解决传统路径规划的单一应急救援的局限性问题,文中提出一种组合优化蚁群算法的路径构造方法。仿真结果表明:所提方法能够实时、快速地找到一种从多个起点到多个待救援点再回到多个出口之间的最佳组合优化路径,且收敛速度和最短路径较传统算法更优,可以较好地提高在大型应急救援路径规划中的速率和优化程度。

关键词: 改进蚁群算法, 路径规划, 应急救援

Abstract: Aiming at the real-time path planning of joint emergency rescue with multiple starting points,multiple rescue points and multiple exits,an improved ant colony algorithm(IACA) was proposed and a combined optimization path construction method was designed.In order to improve the convergence of ant colony algorithm,this paper updated the equivalent distance between two position nodes in real time,improved the pheromone update rules,and adaptively adjusted the pheromone volatility parameters.A local search algorithm that effectively combines with ant colony algorithm was constructed to improve the ability of fast optimization presented.To solve the limitation of the single emergency rescue of traditional path planning,this paper proposes a path construction method based on combined optimization ant colony algorithm.The simulation results show that the improved ant colony algorithm based on combinatorial optimization can quickly find a set of paths from multiple starting points to multiple rescue points and back to multiple exits in real time,and its convergence speed and the shortest path are better,which can improve the rate and optimization in large emergency rescue route planning.

Key words: Emergency rescue, Improved ant colony algorithm, Path planning

中图分类号:

TP301.6

李珊珊, 刘福江, 林伟华. 一种基于多起点、多终点的大型火灾救援路径规划方法[J]. 计算机科学, 2019, 46(11A): 134-137. https://doi.org/

LI Shan-shan, LIU Fu-jiang, LIN Wei-hua. Path Planning Method of Large-scale Fire Based on Multiple Starting Points and Multiple Rescue Points[J]. Computer Science, 2019, 46(11A): 134-137. https://doi.org/

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