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GONG Xingyu, CHANG Xintan, JIA Pengtao, LUO Bibo. Optimization method for mine rescue path based on ant colony algorithm[J]. Journal of Mine Automation, 2018, 44(3): 76-81. DOI: 10.13272/j.issn.1671-251x.2017030023
Citation: GONG Xingyu, CHANG Xintan, JIA Pengtao, LUO Bibo. Optimization method for mine rescue path based on ant colony algorithm[J]. Journal of Mine Automation, 2018, 44(3): 76-81. DOI: 10.13272/j.issn.1671-251x.2017030023
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Optimization method for mine rescue path based on ant colony algorithm

  • 1.

    School of Computer Science and Technology, Xi''an University of Science and Technology, Xi''an 710054, China

  • 2.

    School of Energy and Resource, Xi''an University of Science and Technology, Xi''an 710054, China

  • 3.

    Shaanxi Science and Technology Resource Center, Xi''an 710077, China

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  • 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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