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

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.