Research on AGV cooperative scheduling considering quay crane cache area and energy saving

Aiming at the problems of mutual waiting between quay crane and AGV（Automatic Guided Vehicle） in automated container terminals and the resulting waste of energy consumption, an AGV cooperative scheduling model considering quay crane cache area and energy saving is proposed. A multi-objective mixed integer programming model is established with the objectives of quay crane operation delay time, quay crane and AGV bidirectional waiting time and equipment waiting delay energy consumption.GA-SA（Genetic-Simulated Annealing Algorithm） is proposed, and the results of GA（Genetic Algorithm） are used as the input of the initial solution of SA（Simulated Annealing）,which not only improves the quality of the initial solution of SA, but also gets rid of GA falling into the local optimum. The model is solved by GA-SA. Compared with other algorithms, the experimental results show that the convergence speed and convergence effect of GA-SA are better. This study has reference significance for terminal decision makers to improve the continuity of equipment operation, save energy consumption, and realize green and low-carbon optimal scheduling.