Learn More
In this paper, a method integrating Q-learning algorithm and simulation technique is proposed to optimize the operation scheduling in container terminals. Firstly Q-learning algorithms for yard cranes and yard trailers are designed to obtain the optimal scheduling strategy of yard cranes and yard trailers. Then Q-learning is combined with simulation to(More)
In this paper, the disruption management problem of berth allocation is studied to deal with the unforeseen disruptions in container terminals. A berth allocation model considering the scheduling of quay crane is developed first. Then a disruption management model is developed to recover the berth schedule when unexpected events happen, and simulation(More)
  • 1