OPERATION SIMULATION OF URBAN RAIL TRAIN MODEL BASED ON MULTI-OBJECTIVE IMPROVED GENETIC ALGORITHM

In order to the simulation model of train operation, the condition conversion of train operation process is the gene encoding, and stop error, time error and energy consumption target requires of the train operation simulation are used to establish the fitness function, so the variable length chromosome based on multi-objective genetic algorithm is adopted to calculate the the train operation process and improve the adaptability of the solution. The example calculation shows that the solution provided by the algorithm satisfies the prescribed running time and stop error range, and the energy consumption can be saved by 10%-30%.