计算机工程与应用2024，Vol.60Issue(8)：309-319,11.DOI:10.3778/j.issn.1002-8331.2310-0416
改进蚁群算法的火灾环境疏散路径规划研究
Research on Evacuation Path Planning in Fire Environment with Improved Ant Colony Algorithm
摘要
Abstract
Aiming at the problem of building fire personnel evacuation,a path planning model with improved ant-colony algorithm is proposed to ensure the safety of fire personnel evacuation.When the search direction is close to the target node,the increase of the value of the directional information function makes the pheromone different.According to the fire impact degree,the fire grade function is established,so that the transfer probability decreases with the increase of the fire grade,and the blindness of the ant colony in finding the way is reduced.By analyzing the influence factors of fire,the equivalent length is established and the heuristic function is constructed to avoid falling into the local optimal.The volatili-zation coefficient of pheromone is adjusted adaptively with the fire grade function to accelerate the volatilization rate of the fire path pheromone and improve the global search ability of the algorithm.At the same time,the reward and punish-ment coefficient and fuzzy control are introduced in the pheromone updating strategy to improve the robustness and path smoothness of the evacuation system,and the global pheromone is restricted to balance the local development and global search ability of the algorithm.The simulation results show that the improved ant colony algorithm can efficiently plan evacuation routes in the case of fire or not.关键词
蚁群算法/方向性信息函数/等效长度/模糊控制/火灾人员疏散Key words
ant colony algorithm/directional information function/equivalent length/fuzzy control/fire evacuation分类
信息技术与安全科学引用本文复制引用
杜云,刘小雨,贾科进,丁力,黄公发..改进蚁群算法的火灾环境疏散路径规划研究[J].计算机工程与应用,2024,60(8):309-319,11.基金项目
河北省重点研发计划项目(19221814D,20375801D) （19221814D,20375801D）
石家庄市科学研究与发展计划项目(211130143A). （211130143A）
