Optimization Of Multi-target Evacuation Paths For Subway Stations Based On Ant Colony Algorithm

As one of the most important means of transport for life in modern life,the subway brings convenience to people as well as many catastrophic accidents.Due to the special building structure of the subway station,it is not conducive to the normal evacuation of personnel when encountering a fire.Based on this,this paper analyzes the influencing factors of evacuation in subway stations,proposes a multi-objective optimization scheme,and combines the dynamic data of fire with the improvement of ant colony al gorithm parameters and tactics choice to find the best evacuation strategy for evacuees and reduce the manpower,material and physical evacuation Consumption of financial resources.Based on the ant colony algorithm,this paper calculates the optimal evacuation route of the subway station,and calculates the evacuation degree and evacuation time of the evacuation by using the ant colony algorithm.It uses MATLAB to simulate it and tries to make the evacuation results realistic,scientific and accurate.First of all,according to the influence of each parameter in the ant colony algorithm on the result,the choice of parameters in the optimization example is optimized to make the calculation result more accurate.Secondly,the disadvantage of ant colony algorithm in application is analyzed and the ant colony algorithm is improved in various strategies Finally,combined with the dynamic data of fire,the simulated personnel evacuated in the fire situation of the subway station to ensure the multi-objective optimization of personnel in the process of evacuation,that is to say,the evacuation route,the evacuation congestion degree and the evacuation time are the best,so as to improve the scientificity and authenticity of the model.In this paper,ant colony algorithm is used to optimize the multi-objective evacuation route of subway fire.An optimization model is proposed to provide a scientific and effective method for subway station managers and rescue workers to improve the success rate of subway station evacuation.Based on the research on evacuation of subway station under fire,the parameters and strategies of the ant colony algorithm are optimized and improved.Based on the dynamic data of fire,the computer modeling is carried out and the multi-objective evacuation of subway station staff is studied.Through the example analysis,the availability of the model is verified,and the optimized model makes the evacuation simulation result more scientific and accurate,which is close to the real situation and improves the probability of safety management and evacuation of the subway station.