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一种融合蚁群算法和随机森林的特征选择方法 (Feature Selection Method Based on Ant Colony Optimization and Random Forest)., , , , и . 计算机科学, 46 (11A): 212-215 (2019)Application of Ant Colony Algorithms to Solve the Vehicle Routing Problem., , , , и . ICIC (1), том 10954 из Lecture Notes in Computer Science, стр. 831-840. Springer, (2018)Adaptive Neural-Network-Based Dynamic Surface Control for Stochastic Interconnected Nonlinear Nonstrict-Feedback Systems With Dead Zone., , , , , и . IEEE Trans. Syst. Man Cybern. Syst., 49 (7): 1386-1398 (2019)Multiple Lyapunov Functions for Adaptive Neural Tracking Control of Switched Nonlinear Nonlower-Triangular Systems., , , , , и . IEEE Trans. Cybern., 50 (5): 1877-1886 (2020)A hybrid variable neighborhood search algorithm for solving multi-objective flexible job shop problems., , и . Comput. Sci. Inf. Syst., 7 (4): 907-930 (2010)An effective shuffled frog-leaping algorithm for multi-objective flexible job shop scheduling problems., , и . Appl. Math. Comput., 218 (18): 9353-9371 (2012)Solving the steelmaking casting problem using an effective fruit fly optimisation algorithm., , , и . Knowl. Based Syst., (2014)Reduced-Order Observer-Based Adaptive Fuzzy Tracking Control Scheme of Stochastic Switched Nonlinear Systems., , , , и . IEEE Trans. Syst. Man Cybern. Syst., 51 (7): 4566-4578 (2021)A Machine Learning Approach for Energy-Efficient Intelligent Transportation Scheduling Problem in a Real-World Dynamic Circumstances., , , , , и . IEEE Trans. Intell. Transp. Syst., 24 (12): 15527-15539 (декабря 2023)An Accurate Calibration Method of Large-Scale Reference System., , , , , , и . IEEE Trans. Instrum. Meas., 69 (9): 6957-6967 (2020)