A Hybrid Dynamic Method for Conflict-Free Integrated Schedule Optimization in U-Shaped Automated Container Terminals

Automated guided vehicles (AGVs) in the U-shaped automated container terminal travel longer and more complex paths. The conflicts among AGVs are trickier. scheduling strategy of traditional is difficult to be applied terminal. In order minimize handling time all tasks avoid AGV simultaneously terminal, this paper establishes a hybrid programming model for conflict-free integrated quay cranes, AGVs, double-cantilever rail cranes unloading process. It consists discrete event dynamic continuous model. An improved genetic seagull optimization algorithm (GSOA) designed. A series numerical experiments conducted verify effectiveness efficiency algorithm. results show that proposed method can realize collision avoidance multi-equipment