Optimization method for mine rescue path based on ant colony algorithm
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摘要: 针对火灾背景下煤矿应急救援路径的优化问题，提出了一种基于蚁群算法的井下救援路径优化方法；建立了井下救援路径选择影响因素的层次结构模型，各影响因素按重要程度由高到低排列为CO浓度、瓦斯浓度、风量风速、巷道行走难度和人员综合素质；利用各影响因素的量化值更新蚁群算法信息素，寻找并保存最优路径。仿真结果表明，采用基于蚁群算法的井下救援路径优化方法能够选出最优路径，同时最优解具有较好的收敛性。Abstract: In view of optimization problem of emergency rescue path in underground fire condition, an optimization method for mine rescue path based on ant colony algorithm was proposed. Hierarchical structure model of influencing factors on mine rescue path selection was established, and according to degree of importance, the influencing factors were listed as follows: CO concentration, gas concentration, wind speed, roadway difficulty and personnel quality. The quantification of each factor is used to update pheromone of the ant colony algorithm to find and save the optimal path. The simulation results show that the optimal path can be selected by using the rescue path optimization method based on the ant colony algorithm, and the optimal solution has good convergence.
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期刊类型引用(8)
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