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Cooperative differential evolution with dynamical population for short-term traffic flow prediction problem
Wang DP(王丹萍)1,2,3; Hu KY(胡琨元)1; He MW(何茂伟)4; Chen HN(陈瀚宁)4
Department数字工厂研究室
Source PublicationInternational Journal of Performability Engineering
ISSN0973-1318
2018
Volume14Issue:4Pages:785-794
Indexed ByEI
EI Accession number20182005180798
Contribution Rank1
KeywordDifferential Evolution K-means Method Dynamic Population Size Method Short-term Traffic Flow Prediction
Abstract

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.

Language英语
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/21857
Collection数字工厂研究室
Corresponding AuthorHe MW(何茂伟)
Affiliation1.Department of Information Service and Intelligent Control, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
2.University of Chinese Academy of Sciences, Beijing 100039, China
3.Shenyang University, Shenyang 110044, China
4.School of Computer Science and Software, Tianjin Polytechnic University, Tianjin 300387, China
Recommended Citation
GB/T 7714
Wang DP,Hu KY,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 Wang DP,Hu KY,He MW,&Chen HN.(2018).Cooperative differential evolution with dynamical population for short-term traffic flow prediction problem.International Journal of Performability Engineering,14(4),785-794.
MLA Wang DP,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.
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