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建筑防火路径规划研究

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基于传统蚂蚁算法基本原理,并结合建筑物疏散的要求,针对现有蚁群算法在计算中存在的停滞或局部收敛的问题,增加了变异因素的影响,从而提出了一种改进的蚁群算法.基于改进的蚁群算法,对建筑火灾疏散路径进行优选,找到能够实现火灾情况下最快捷的疏散路径.通过对比传统的蚂蚁算法和改进的算法的结果,并利用仿真结果进行验证,表明通过改进后的蚂蚁算法确定疏散路径,在建筑火灾疏散时在时间上和效果上都具有优势.
Research on Building Fire Prevention Path Planning
Based on the basic principle of traditional ant colony optimization and the requirements of building evacuation,an improved ant colony optimization is proposed to solve the problem of stagna-tion or local convergence in the existing ant colony algorithm and increase the influence of variation fac-tors.Based on the improved ant colony optimization,the building fire evacuation path is optimized,and the fastest evacuation path can be found in the case of fire.By comparing the results of the traditional ant colony optimization and the improved optimization,and using the simulation results to verify,the improved ant algorithm to determine the evacuation path in building fire evacuation has advantages in both time and effect.

firearchitectureant colony optimizationevacuate

魏世辉

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阜阳职业技术学院城乡建设学院,安徽 阜阳 236031

火灾 建筑 蚁群算法 疏散

安徽省高等学校科学研究项目&&阜阳职业技术学院科研项目

2022AH0525722022AH0525682022KYXM10

2024

佳木斯大学学报(自然科学版)
佳木斯大学

佳木斯大学学报(自然科学版)

影响因子:0.159
ISSN:1008-1402
年,卷(期):2024.42(7)
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