Optimal Operation for Placing-in and Taking-out Wagons with the Limited Loading/Unloading Capacity Based on Distributed Hybrid Optimization Strategy

To solve the problem that the current operation optimization methods for placing-in and taking-out wagons can´t deal with in the railway freight station with the limited loading/unloading capacity for the industrial and mining enterprises, an operation optimization model is constructed taking the whole consuming time of locomotive as the object, and a distributed hybrid optimization strategy is proposed to solve the model, synthetically considering the loading/unloading operation and the operation for placing-in and taking-out wagons. According to the linear relationship between the evenness degree of the operation task for each loading/unloading team and the whole consuming time of locomotive, the operation optimization is divided into two parts. The first part is to assign the loading/unloading task uniformly by using heuristic algorithm, and the second part is to determine the optimal operation for placing-in and taking-out wagons under the condition of optimal loading/unloading task by using an improved genetic algorithm, which greatly improves the searching efficiency. The simulation results verify the effectiveness and rationality of this strategy.