Research on Cooperative Scheduling Method of Igv and Dcrc in U-Shaped Automatic Container Terminal

For the automated container port (ACT) with large-depth, the yard crane (YC) of the existing end operation scheme needs to move at a long distance, which affects the port operation efficiency. For this, a world-first U-shaped scheme has been drawing a great deal of attention since it had been proposed. In the U-shaped scheme, double cantilever rail cranes (DCRCs) are used as YC, and intelligent guided vehicles (IGVs) are used as horizontal transport equipment. In this scheme, DCRC serves as IGV and external container truck (ECT) on both sides of the block, the construction of the model was rather complicated. This study divided the complex scheduling tasks into nine situations and four types to solve the above problem. Since the loading point of the U-shaped scheme is tens of times that of the end operation scheme, it would be more difficult to solve the model. In this paper, an improved coevolutionary genetic algorithm is proposed by the fusion of coevolutionary algorithm and improved genetic algorithm, which improves the model's solving ability and computing speed. Furthermore, this paper presents a cooperative scheduling model of IGV and DCRC considering the entry of ECT, and receives an optimal ratio of the three, which might be a feasible reference for ACTs that use this scheme