企业货运铁路取送车作业智能优化方法  

Train Placing-in and Taking-out Operation Intelligent Optimization for Enterprise Freight Transport Railway

作　　者：雷友诚[1,2] 肖媛[1] 王雅琳[1] 桂卫华[1] 周开军[1] 

机构地区：[1]中南大学信息科学与工程学院,湖南长沙410083 [2]湖南大学电气与信息工程学院,湖南长沙410082

出　　处：《湖南大学学报（自然科学版）》2012年第1期81-86,共6页Journal of Hunan University:Natural Sciences

基　　金：国家自然科学基金资助项目(60804037);教育部新世纪优秀人才支持计划项目(NCET-08-0576);湖南省自然科学基金资助项目(11JJ3068);长沙市科技计划资助项目(K0802079-11)

摘　　要：针对综合布局(同时具有放射状和树枝状)的企业货运铁路专用线的特点,提出了一种智能优化方法.该方法在建立取送作业模型的基础上,对问题进行分解,提出了两级优化策略,即先并行求解各车间内树枝状取送作业的子优化问题、再综合求解车间之间放射状取送作业优化问题.依据该优化策略,设计了一种融合遗传算法和蚁群算法的遗传精英蚁群优化算法(GAASelite)求解取送车作业优化问题.实验仿真结果证明,该方法能有效地优化铁路取送车作业问题.Considering the layout characteristics of general industrial enterprise freight transport railway lines （both layout with radial and tree branch）, an intelligent optimization method is presented. This method is built on the basis of the placing-in and taking-out operation model, and then, the problem is decomposed into several small scale sub-problems. Furthermore, a two-level optimization strategy is proposed by parallel solving the optimization sub-problems inside the shops with tree branch lines, then solving the optimization problems between the shops in radial line. According to the optimization strategy, a hybrid genetic elite ant colony algorithm is designed for the placing-in and taking-out operation optimization problem. Simulation results prove that the proposed method can effectively optimize the railway placing-in and taking-out operation problem.

关 键 词：综合布局专用线 取送车作业 遗传精英蚁群优化算法 

分 类 号：U292[交通运输工程—交通运输规划与管理]