摘要
集装箱码头铁路作业区是开展集装箱铁水联运的主要场所,其效率将影响集装箱铁水联运的整体效率,因而,建立了以装卸过程总完成时间最短为目标的龙门吊、集卡和场桥的协同调度问题的混合整数规划模型,既考虑了装卸同步,又考虑了龙门吊间的干扰和安全距离、龙门吊和场桥走行时间及缓冲区等现实约束,并考虑了集卡堵塞问题.为了求解模型,设计了改进的多层遗传算法.最后通过实验验证了模型和算法的有效性和可行性,证明了考虑集卡堵塞问题是有必要的,并给出了50个和100个集装箱的设备最佳配比.
Container terminal railway area is the main place to develop container rail-water transportation, and its efficiency can affect the efficiency of container rail-water transportation, so in order to improve the coordination of different types of equipment in the container terminal, an integrated scheduling model is developed, which integrated the scheduling of yard crane, inner truck and rail mounted gantry crane used for railway handling operation. This model considers not only loading and unloading simultaneously, but the gantry crane interference and safety margin as well as gantry crane and yard crane travel time. Moreover the buffer area and congestion between inner trucks are also considered. Then an improved multi-layer genetic algorithm is proposed to solve the problem. At last, some numerical tests are done to show the model and algorithm feasible and effective, verify that consideration of congestion between inner trucks is of essence and give the best equipment proportions of 50 and 100 containers.
出处
《交通运输系统工程与信息》
EI
CSCD
北大核心
2017年第4期40-47,共8页
Journal of Transportation Systems Engineering and Information Technology
基金
国家自然科学基金重大项目(71390332)
高等学校博士学科点专项科研基金项目(20130009110001)~~
关键词
综合交通运输
协同调度
多层遗传算法
装卸设备
铁路作业区
integrated transportation
integrated scheduling
multi-layer genetic algorithm
handling operation
railway operation area
