摘要
以港口集装箱场桥调度为研究对象,建立集装箱场桥的智能调度优化数学模型,设计基于遗传算法的模型求解策略,并根据一个典型港口的实际数据进行验证。运算结果表明,与实际操作及以前的优化算法相比,该方法可较大幅度地缩短作业时间、降低运作成本。
An optimizing model for intelligent scheduling of yard cranes is set up.Considered the characteristics of the model,a genetic algorithm is designed to solve the optimizing model.An example is used to illustrate the validity of the optimizing model.Compared with the practical operation and previously used algorithm,the model and solving algorithm can greatly shorten the operation time and reduce the operation cost.
作者
初良勇
阮志毅
李淑娟
CHU Liangyong;RUAN Zhiyi;LI Shujuan(Modern Logistics Institute,Jimei University,Xiamen 361021,China;R&D Department,Xiamen Yaxon Network Co.,Ltd.,Xiamen 361008,China;Management Institution,Yangen University,Quanzhou 362000,China)
出处
《中国航海》
CSCD
北大核心
2018年第1期48-52,共5页
Navigation of China
基金
福建省自然科学基金(2017J01796
2017J01797)
集美大学研究生教育教学改革项目(2016)
关键词
水路运输
港口物流
集装箱堆场
场桥调度
遗传算法
waterway transportation
port logistics
container yard
crane scheduling
genetic algorithm
