针对自动化集装箱码头成组直接中转情况下岸桥的调度问题,以最小化中转完工时间和岸桥的等待时间为目标,建立多目标优化模型,设计多目标遗传算法对模型进行求解.考虑模型中权重等参数的影响,设计3种实验,并对实验结果进行讨论.结果表明,提出的模型具有一定的可行性和实用性,其算法在一定的运算时间内能获得稳定的满意解.
Aiming at the quay crane scheduling problem considering group-based strategy and direct transshipment at automated container terminal, a multi-objective optimization model is established with the bi-objective to minimize the completion time of a vessel and the waiting time of the quay cranes. Then, a multi objective genetic algorithm is designed to solve the problem. Considering the effects of weights and other parameters of the solutions, three experiments are performed and ana- lyzed. The results shows that the proposed model can have certain feasibility and practicality and the algorithm can obtain a satisfactory solution in a certain time.