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您的检索式：作者名="Liefa Liao"
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| 1 | BAS-ADAM:An ADAM Based Approach to Improve the Performance of Beetle Antennae Search Optimizer显示文摘In this paper,we propose enhancements to Beetle Antennae search(BAS)algorithm,called BAS-ADAIVL to smoothen the convergence behavior and avoid trapping in localminima for a highly noin-convex objective function.We achieve this by adaptively adjusting the step-size in each iteration using the adaptive moment estimation(ADAM)update rule.The proposed algorithm also increases the convergence rate in a narrow valley.A key feature of the ADAM update rule is the ability to adjust the step-size for each dimension separately instead of using the same step-size.Since ADAM is traditionally used with gradient-based optimization algorithms,therefore we first propose a gradient estimation model without the need to differentiate the objective function.Resultantly,it demonstrates excellent performance and fast convergence rate in searching for the optimum of noin-convex functions.The efficiency of the proposed algorithm was tested on three different benchmark problems,including the training of a high-dimensional neural network.The performance is compared with particle swarm optimizer(PSO)and the original BAS algorithm. | Ameer Hamza Khan Xinwei Cao Shuai Li Vasilios N.Katsikis Liefa Liao | 2020 | IEEE/CAA Journal of Automatica Sinica2020，7，2： | 20 |
| 2 | An Optimal Control Strategy for Multi-UAVs Target Tracking and Cooperative Competition显示文摘An optimal control strategy of winner-take-all(WTA)model is proposed for target tracking and cooperative competition of multi-UAVs(unmanned aerial vehicles).In this model,firstly,based on the artificial potential field method,the artificial potential field function is improved and the fuzzy control decision is designed to realize the trajectory tracking of dynamic targets.Secondly,according to the finite-time convergence high-order differentiator,a double closed-loop UAV speed tracking the controller is designed to realize the speed control and tracking of the target tracking trajectory.Numerical simulation results show that the designed speed tracking controller has the advantages of fast tracking,high precision,strong stability and avoiding chattering.Finally,a cooperative competition scheme of multiple UAVs based on WTA is designed to find the minimum control energy from multiple UAVs and realize the optimal control strategy.Theoretical analysis and numerical simulation results show that the model has the fast convergence,high control accuracy,strong stability and good robustness. | Yiguo Yang Liefa Liao Hong Yang Shuai Li | 2021 | IEEE/CAA Journal of Automatica Sinica2021，8，12： | 4 |
| 3 | Knowl-edge management strategy and organizational learning:an a-gent-based simulation显示文摘 | LIAO LIEFA JIANG JINHU WANG KANLIANG | 2011 | African Journal of Business Man-agement2011，5，8： | 1 |
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