Hybrid evolutionary algorithms in a SVR traffic flow forecasting model

DOI10.1016/j.amc.2011.01.073zbMath1208.90042OpenAlexW1966690449MaRDI QIDQ632928

Yucheng Dong, Wei-Chiang Hong, Shih Yung Wei, Feifeng Zheng

Publication date: 28 March 2011

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2011.01.073

zbMATH Keywords

support vector regressionhybrid evolutionary algorithmsSARIMAtraffic flow forecastingback-propagation neural network BPNNHolt-Winters (HW)hybrid genetic algorithm-simulated annealing algorithm (GA-SA)seasonal Holt-Winters (SHW)

Mathematics Subject Classification ID

Applications of statistics in engineering and industry; control charts (62P30) Approximation methods and heuristics in mathematical programming (90C59) Traffic problems in operations research (90B20)

Related Items (3)

Convergence study of minimizing the nonconvex total delay using the lane-based optimization method for signal-controlled junctions ⋮ A self-adaptive chaotic differential evolution algorithm using gamma distribution for unconstrained global optimization ⋮ Multi-step ahead traffic speed prediction based on gated temporal graph convolution network

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