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Cheng, X., Hu, W., Yu, Y., & Rahmani, A. (2024). Multi-surrogate-assisted stochastic fractal search based on scale-free network for high-dimensional expensive optimization. Expert Systems with Applications, 249, 123517. (SCI)
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Cui, Y., Hu, W.*, & Rahmani, A. (2024). Multi-robot path planning using learning-based Artificial Bee Colony algorithm. Engineering Applications of Artificial Intelligence, 129, 107579.(SCI)
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Ni, X., Hu, W.*, Fan, Q., Cui, Y., & Qi, C. (2024). A Q-learning based multi-strategy integrated artificial bee colony algorithm with application in unmanned vehicle path planning. Expert Systems with Applications, 236, 121303.(SCI)
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Cheng, X., Yu, Y., & Hu, W.* (2023). Multi-surrogate-assisted stochastic fractal search algorithm for high-dimensional expensive problems. Information Sciences, 640, 119035.(SCI)
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Xu, J., Hu, W., Gu, W., & Yu, Y. (2023). A discrete JAYA algorithm based on reinforcement learning and simulated annealing for the traveling salesman problem. Mathematics, 11(14), 3221.(SCI)
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Yang, D., Yu, Y., Hu, W., Yuan, X., & Ren, G. (2023). Mean Square Asymptotic Stability of Discrete-Time Fractional Order Stochastic Neural Networks with Multiple Time-Varying Delays. Neural Processing Letters, 1-22.(SCI)
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Cui, Y., Hu, W.*, & Rahmani, A. (2023). Fractional-order artificial bee colony algorithm with application in robot path planning. European Journal of Operational Research, 306(1), 47-64. (SCI)
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Cui, Y., Hu, W.*, & Rahmani, A. (2022). A reinforcement learning based artificial bee colony algorithm with application in robot path planning. Expert Systems with Applications, 203, 117389.(SCI)
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Wang, S., Hu, W., Riego, I., & Yu, Y. (2022). Improved surrogate-assisted whale optimization algorithm for fractional chaotic systems' parameters identification. Engineering Applications of Artificial Intelligence, 110, 104685.(SCI)
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Cui, Y., Hu, W.*, & Rahmani, A. (2022). Improved artificial bee colony algorithm with dynamic population composition for optimization problems. Nonlinear Dynamics, 107(1), 743-760.(SCI)
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Hu, W., Yu, Y., Rahmani, A., & Wen, G. (2021). Robust consensus tracking based on hABC algorithm with parameters identification for uncertain nonlinear FOMASs with external disturbances. Journal of the Franklin Institute, 358(18), 9975-10003.(SCI)
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Wang, S., Yu, Y., & Hu, W.* (2021). Static and dynamic solar photovoltaic models' parameters estimation using hybrid Rao optimization algorithm. Journal of Cleaner Production, 315, 128080. (SCI)
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Hu, W., Wen, G., Rahmani, A., Bai, J., & Yu, Y. (2020). Leader‐following consensus of heterogenous fractional‐order multi‐agent systems under input delays. Asian Journal of Control , 22(6), 2217-2228.(SCI)
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Zhang, Y., Wen, G., Rahmani, A., Peng, Z., & Hu, W. (2020). Cluster consensus of multi-agent systems with general linear and nonlinear dynamics via intermittent adaptive pinning control. Transactions of the Institute of Measurement and Control, 0142331220975254.(SCI)
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Hu, W., Wen, G., Rahmani, A., & Yu, Y. (2019). Parameters estimation using mABC algorithm applied to distributed tracking control of unknown nonlinear fractional-order multi-agent systems. Communications in Nonlinear Science and Numerical Simulation, 79, 104933. (SCI)
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Hu, W., Wen, G., Rahmani, A., & Yu, Y. (2019). Differential evolution-based parameter estimation and synchronization of heterogeneous uncertain nonlinear delayed fractional-order multi-agent systems with unknown leader. Nonlinear Dynamics, 97(2), 1087-1105.(SCI)
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Hu, W., Wen, G., Rahmani, A., & Yu, Y. (2019). Distributed consensus tracking of unknown nonlinear chaotic delayed fractional-order multi-agent systems with external disturbances based on ABC algorithm. Communications in Nonlinear Science and Numerical Simulation, 71, 101-117.(SCI)
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Jiang, W., Peng, Z., Rahmani, A., Hu, W., & Wen, G. (2018). Distributed consensus of linear MASs with an unknown leader via a predictive extended state observer considering input delay and disturbances. Neurocomputing, 315, 465-475.(SCI)
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Hu, W., Yu, Y., & Gu, W. (2018). Parameter estimation of fractional-order arbitrary dimensional hyperchaotic systems via a hybrid adaptive artificial bee colony algorithm with simulated annealing algorithm. Engineering Applications of Artificial Intelligence, 68, 172-191.(SCI)
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Gu, W., Yu, Y., & Hu, W. (2017). Artificial bee colony algorithm-based parameter estimation of fractional-order chaotic system with time delay. IEEE/CAA Journal of Automatica Sinica, 4(1), 107-113.(SCI)
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Cui, X., Yu, Y., Wang, H., & Hu, W. (2016). Dynamical analysis of memristor-based fractional-order neural networks with time delay. Modern Physics Letters B, 30(18), 1650271.(SCI)
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Gu, W., Yu, Y., & Hu, W. (2016). Parameter estimation of unknown fractional-order memristor-based chaotic systems by a hybrid artificial bee colony algorithm combined with differential evolution. Nonlinear Dynamics, 84(2), 779-795.(SCI)
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Hu, W., Yu, Y., & Zhang, S. (2015). A hybrid artificial bee colony algorithm for parameter identification of uncertain fractional-order chaotic systems. Nonlinear Dynamics, 82(3), 1441-1456.(SCI)
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Hu, W., Yu, Y., & Wang, S. (2015). Parameters estimation of uncertain fractional-order chaotic systems via a modified artificial bee colony algorithm. Entropy, 17(2), 692-709.(SCI)
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Zhang, S., Yu, Y., & Hu, W. (2014). Robust stability analysis of fractional-order Hopfield neural networks with parameter uncertainties. Mathematical Problems in Engineering, 2014.(SCI)
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