Method and system for optimizing pull-in curve of heavy-load train

According to the method and system for optimizing the pull-in curve of the heavy-load train, on the basis of an NSGA-II algorithm, selection of crossover operators and mutation operators is changed in a self-adaptive mode in combination with crowding degree distance calculation and an iteration process, and the diversity of populations is guaranteed; the operation curve optimization of the heavy-load train is realized by combining an actual operation line; an air braking principle is researched, a mathematical model is established, the parking accuracy of the heavy-load train and the speed displacement state of each mass point during braking are calculated under the condition of common pull-in pressure reduction, the position where a driver implements air braking is accurately positioned according to the accurate parking requirement, and the parking curve optimization of the heavy-load train is achieved. The operation curve optimization can ensure that the heavy-load train runs in the optimal state before ent