Title: Design of public bicycle scheduling model based on data mining algorithm

Authors: Xia Wendong; Liu Yuanfeng; Chen Deli

Addresses: College of Computer, Jiaying University, Meizhou Guangdong, 514087, China ' Guangdong Ji Tong Information Development Co., Ltd, Guangzhou Guangdong, 510632, China ' College of Computer, Jiaying University, Meizhou Guangdong, 514087, China

Abstract: 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.

Keywords: public resource; scheduling; mining algorithm; model.

DOI: 10.1504/IJRIS.2018.091120

International Journal of Reasoning-based Intelligent Systems, 2018 Vol.10 No.1, pp.68 - 76

Received: 22 May 2017
Accepted: 29 May 2017
Published online: 11 Apr 2018 *

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