Abstract: Mine operating environment is complicated,all kinds of geological disasters and water disasters are easy to affect underground safety production,so it is necessary to plan the escape path of personnel in advance when disasters occur. In order to obtain the shortest escape route of mine,a path planning method with improved grey Wolf optimization algorithm is proposed. Aiming at the shortcomings of Grey Wolf Optimization (GWO),which is precocious convergence and easy to fall into local extreme values,an improved Grey Wolf Optimization (LT-GWO) algorithm based on the combination of Logistic mapping and Tent mapping is proposed to improve its global search capability. According to the actual working environment of mine,the improved algorithm is applied to underground escape path planning,and the effective path planning results are obtained by setting reasonable path constraints and limiting conditions. The results show that the proposed algorithm is significantly better than the existing algorithms on average path length,standard deviation of path length,average number of iterations and average search time,and has good robustness. The proposed algorithm has a certain reference value for the research of path planning under mine disaster and other emergency scenarios.

Key words: underground rescue,grey wolf optimization algorithm,mine escape path planning,Logistic map,Tent map