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A Multi-action Reinforcement Learning Algorithm for Energy-efficiency Blocking Flow-shop Scheduling Problem., , , , и . CSCWD, стр. 492-497. IEEE, (2023)A Lagrangian Dual-based Theory-guided Deep Neural Network., , и . CoRR, (2020)Weak Form Theory-guided Neural Network (TgNN-wf) for Deep Learning of Subsurface Single and Two-phase Flow., , , и . CoRR, (2020)Research of Learning Strategies in Flipped Classroom a Case of Extra-Curricular English Study., и . ICBL, том 9757 из Lecture Notes in Computer Science, стр. 118-127. Springer, (2016)A Comparative Study of Chess Online Educational Products., и . ICBL, том 12218 из Lecture Notes in Computer Science, стр. 101-113. Springer, (2020)Environment Sensitivity-Based Cooperative Co-Evolutionary Algorithms for Dynamic Multi-Objective Optimization., , , , и . IEEE ACM Trans. Comput. Biol. Bioinform., 15 (6): 1877-1890 (2018)Multidirectional Prediction Approach for Dynamic Multiobjective Optimization Problems., , , , и . IEEE Trans. Cybern., 49 (9): 3362-3374 (2019)Nondominated sorting genetic algorithm-II with Q-learning for the distributed permutation flowshop rescheduling problem., , , , , и . Knowl. Based Syst., (октября 2023)A composite weighted human learning network and its application for modeling of the intermediate point temperature in USC., , и . Appl. Soft Comput., (сентября 2023)Interval Cost Feature Selection Using Multi-objective PSO and Linear Interval Programming., , , и . ICSI (1), том 9712 из Lecture Notes in Computer Science, стр. 579-586. Springer, (2016)