NLA-PSO算法在机场货运站ETV调度优化中的研究与应用  

Research and Application of NLAPSO Algorithm to ETV Scheduling Optimization in Airport Cargo Terminal

作　　者：邱建东[1] 蒋兆远[1] 汤旻安[2] 

机构地区：[1]兰州交通大学机电技术研究所,甘肃兰州730070 [2]兰州理工大学机电工程学院,甘肃兰州730050

出　　处：《兰州交通大学学报》2015年第1期65-70,共6页Journal of Lanzhou Jiaotong University

基　　金：甘肃省自然科学基金(1208RJZA292);甘肃省科技支撑计划项目(090GKCA009;1304GKCA023)

摘　　要：机场货运站集装货物处理是制约航空货运货物处理效率的瓶颈环节.集装货物立体库具有多个并行出入口,给升降式转运车ETV的作业调度带来极大困难.在对比分析传统调度方法弊端的基础上,采用非线性学习因子调整优化粒子群算法改进ETV作业调度,并通过仿真计算验证了其有效性.该方法在实际工程中得到了应用,有效提高了集装货物处理效率.ULD cargo handling is the constrain link in airport cargo terminal.Parallel multi-outlet layout of ULD cargo warehouse makes the scheduling of elevating transfer vehicle very difficult.On the basis of the comparative analysis of shortcomings of the traditional scheduling method,an optimized PSO algorithm-NLAPSO is used to solve the problem and to improve efficiency.The validity is verified by simulation methods.This method has been applied to practical engineering and improves the cargo handling efficiency.

关 键 词：机场货运站 ETV 调度 NLAPSO算法 

分 类 号：U294.13[交通运输工程—交通运输规划与管理]