基于数据挖掘算法的公共自行车调度模型设计

Xia Wendong, Yuanfeng Liu, Deli Chen
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引用次数: 4

摘要

广州公共自行车系统是世界上最大的自行车共享项目。该系统的软件由本课题组开发。为了满足每个车站对自行车和空储物柜的波动需求,员工需要通过车队在车站之间积极地转移自行车。结合路径链接过程的混合GRA-SP元启发式算法已成功地应用于不同的组合问题。数据挖掘是使用各种数据分析工具来发现数据中的模式和关系的过程。本文提出了一种将路径链接过程与数据挖掘过程相结合的混合数据挖掘元启发式算法GRA-SP,并对其进行了改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design of public bicycle scheduling model based on data mining algorithm
Guangzhou Public Bicycle System has been the largest bike-sharing program in the world. The software of the system was developed by our research team. To meet the fluctuating demand for bicycles and for vacant lockers at each station, employees need to actively shift bicycles between stations by a fleet of vehicles. Hybrid GRA-SP metaheuristic which incorporate a path-relinking procedure have been successfully applied for different combinatorial problems. Data mining is a process that uses a variety of data analysis tools to discover patterns and relationships in data. In this paper, a new hybrid data mining metaheuristic combines GRA-SP which incorporate path-relinking procedure with data mining process is proposed and some improvement are made.
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