摘要
随着环境污染和资源紧缺的加剧,绿色港口逐渐成为未来港口发展的必然趋势。因此针对岸桥集卡协调调度,建立了一个考虑集卡能耗和岸桥集卡作业时间的多目标数学模型。由于岸桥和集卡作业时间及集卡能耗这两个目标既有联系,又有一定程度的冲突,因而使用多目标优化的方法平衡这两个目标,并且采用遗传算法结合Matlab数学软件求解模型。算例结果表明:考虑集卡能耗的调度比不考虑集卡能耗的调度更节约调度成本,从而验证了模型和算法的有效性。
As environmental pollution and resource shortage intensifies,green port is becoming inevitable trend of port development in the future. Aiming quay crane and internal truck coordinated scheduling,a multi-objective mathematical model is established,considering internal truck energy consumption and quay crane together with internal truck work time. The work time of quay crane together with internal truck is related to the internal truck energy consumption,but there is a certain degree of conflict between these two objectives. Therefore,the method of multi-objective optimization is used to balance the two objectives. A genetic algorithm combined with Matlab mathematical software is to solve the mathematical model. Example results show that the cost of scheduling strategy considering the energy consumption of the internal truck is less than that of the scheduling strategy without taking the energy consumption of the internal truck into account,which validates the effectiveness of the model and the algorithm.
出处
《广西大学学报（自然科学版）》
CAS
北大核心
2016年第6期1949-1959,共11页
Journal of Guangxi University（Natural Science Edition）
基金
国家自然科学基金资助项目(71071093)
关键词
集装箱码头
岸桥集卡协调调度
集卡能耗
绿色港口
遗传算法
MATLAB
container terminal
integrated quay crane and internal truck scheduling
internal truck energy consumption
green port
Genetic algorithm
Matlab
