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基于改进果蝇算法的重载运输车流组织优化研究 被引量:3

An Optimization Research on the Heavy load Transportation Flow Organization based on the Improved Fruit Fly Algorithm
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摘要 优化重载运输车流组织策略,充分利用现有装车地、组合站和线路条件来提高铁路运能是缓解我国铁路主要干线网络运量矛盾的关键。在综合考虑装车地直达运输系统时间消耗的基础上,针对运输网络中存在路径择优及重载通道部分车站进行换重作业的特殊情况下,构建以重载列车组合作业时间及在途运行消耗之和最小的装车地直达车流组织优化模型,并采用改进果蝇算法来求解优化问题。最后通过实例分析验证所给模型与算法的合理性。 It is the key to relieve the contradiction between the traffic volume of the main railway lines in our country by optimizing the traffic flow organization strategy, and making full use of loading area, combination station and line conditions. The optimization model of direct flow in loading area is established with the least operation time and the lowest running consumption in view of the special circumstances, that exist path selection and the stations for weight change operations in the transportation network. And the improved fruit fly algorithm is used to solve the optimization problem. Finally, an example is given to verify the rationality of the proposed model and algorithm.
作者 景龙刚 李国宁 JING Long-gang;LI Guo-ning(School of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou 730000,Gansu, Chin)
出处 《铁道运输与经济》 北大核心 2018年第4期30-35,共6页 Railway Transport and Economy
基金 国家自然基金地区项目(61164010)
关键词 铁路 重载运输 车流组织优化 改进果蝇算法 路径选择 Railway Heavy Load Transportation Optimization of Train Flow Organization Improved Fruit Fly Algorithm Path Selection
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