Cooperative differential evolution with dynamical population for short-term traffic flow prediction problem

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	Cooperative differential evolution with dynamical population for short-term traffic flow prediction problem
	Hu KY(胡琨元); Wang DP(王丹萍); He MW(何茂伟); Chen HN(陈瀚宁); Liu D(刘丹)
刊名	International Journal of Performability Engineering
	2018
卷号	14 期号:4 页码:785-794
关键词	Differential Evolution K-means Method Dynamic Population Size Method Short-term Traffic Flow Prediction
ISSN号	0973-1318
通讯作者	He MW(何茂伟)
产权排序	1
中文摘要	Differential Evolution (DE) is a heuristic stochastic search algorithm based on population differences, which has advantages of simple parameters and fast convergence rate. However, it has weak robustness, especially for multimodal problems. Therefore, this paper proposes a Cooperative Differential Evolution with Dynamical population (DynCDE). In the proposed algorithm, the K-means method is employed to partition the whole population. For the high convergence rate of DE/current-to-best/ 1/bin, the neighbor-based mutation strategy is applied and the dynamic population size method based on aging mechanism and lifecycle mechanism is designed to keep the balance between exploration and exploitation. This modified DE has the potential to improve prediction accuracy of neural networks. Finally, this DynCDE-based neural network model is applied to solving the short-term traffic flow prediction problem, which offers very excellent results.
收录类别	EI
语种	英语
内容类型	期刊论文
源URL	[http://ir.sia.cn/handle/173321/21834]
专题	沈阳自动化研究所_管理支撑部门
通讯作者	Liu D(刘丹)
作者单位	1.University of Chinese Academy of Sciences, Beijing 100039, China 2.School of Computer Science and Software, Tianjin Polytechnic University, Tianjin 300387, China 3.Department of Information Service and Intelligent Control, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China 4.Shenyang University, Shenyang 110044, China
推荐引用方式 GB/T 7714	Hu KY,Wang DP,He MW,et al. Cooperative differential evolution with dynamical population for short-term traffic flow prediction problem[J]. International Journal of Performability Engineering,2018,14(4):785-794.
APA	Hu KY,Wang DP,He MW,Chen HN,&刘丹.(2018).Cooperative differential evolution with dynamical population for short-term traffic flow prediction problem.International Journal of Performability Engineering,14(4),785-794.
MLA	Hu KY,et al."Cooperative differential evolution with dynamical population for short-term traffic flow prediction problem".International Journal of Performability Engineering 14.4(2018):785-794.