摘要
为解决如何快速、有效地找出单层建筑火灾最佳疏散路径问题,分析火灾发生时可能影响人员逃生及最佳路径生成的因素。提出基于遗传-蚁群算法求解火灾时期人员疏散路径。运用遗传算法的快速全局搜索能力,对蚁群算法初期所需要的信息素进行快速处理;利用蚁群算法的正反馈机制,快速找出可行路径,缩短搜索时间;并运用Matlab软件对其进行仿真。结果表明:遗传-蚁群算法所求得的路径生成质量有明显提高,并缩短路径生成时间,有助于提高人员逃生效率,降低人员伤亡率。
Aiming at the problem of how to find the optimal evacuation path quickly and effectively during the fire of single-story buildings,the factors that may affect the personnel escape and the generation of optimal path during the fire were analyzed.A method based on the genetic-ant colony algorithm was proposed to solve the personnel evacuation path in the fire.Firstly,the fast global search capability of the genetic algorithm was used to quickly process the pheromones required by the initial period of ant colony algorithm.Secondly,the feasible path were found out rapidly by using the positive feedback mechanism of the ant colony algorithm,so as to shorten the search time.Finally,the Matlab software was used for simulation.The results showed that the quality of path generation obtained by the genetic-ant colony algorithm was significantly improved,the time of path generation was shortened,which contributes to improve the efficiency of personnel escape and reduce the personnel casualties.
作者
贾进章
李雪娇
JIA Jinzhang;LI Xuejiao(Research Institute of Safety Science and Engineering,Liaoning Technical University,Fuxin Liaoning 123000,China;College of Safety Science and Engineering,Liaoning Technical University,Fuxin Liaoning 123000,China;Key Laboratory of Mine Thermo-motive Disaster and Prevention of Ministry of Education,Huludao Liaoning 125105,China)
出处
《中国安全生产科学技术》
CAS
CSCD
北大核心
2020年第6期122-126,共5页
Journal of Safety Science and Technology
基金
辽宁特聘教授项目(551710007007)
辽宁省百千万人才工程项目(2019-45-15)
辽宁省自然科学基金项目(2019-MS-162)。
关键词
遗传-蚁群算法
建筑火灾
人员逃生
路径规划
genetic-ant colony algorithm
building fire
personnel escape
path planning
