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GA-based principal component selection for production performance estimation in mineral processing.

, , , and . Computers & Electrical Engineering, 40 (5): 1447-1459 (2014)

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A multiobjective particle swarm optimization algorithm for load scheduling in electric smelting furnaces., , , , and . CIES, page 188-195. IEEE, (2013)Hybrid Intelligent System for Supervisory Control of Mineral Grinding Process., , , and . ISDA (1), page 979-984. IEEE Computer Society, (2006)Hybrid intelligent parameter estimation based on grey case-based reasoning for laminar cooling process., , , , and . Eng. Appl. of AI, 25 (2): 418-429 (2012)Generalized Multitasking for Evolutionary Optimization of Expensive Problems., , , and . IEEE Trans. Evolutionary Computation, 23 (1): 44-58 (2019)Dynamic Evolutionary Multiobjective Optimization for Raw Ore Allocation in Mineral Processing., , , , and . IEEE Trans. Emerging Topics in Comput. Intellig., 3 (1): 36-48 (2019)Heterogeneous Ensemble-Based Infill Criterion for Evolutionary Multiobjective Optimization of Expensive Problems., , , and . IEEE Trans. Cybernetics, 49 (3): 1012-1025 (2019)Multitasking Multiobjective Evolutionary Operational Indices Optimization of Beneficiation Processes., , , , and . IEEE Trans. Automation Science and Engineering, 16 (3): 1046-1057 (2019)Case-Based Decision Making Model for Supervisory Control of Ore Roasting Process., , , and . ISNN (2), volume 5264 of Lecture Notes in Computer Science, page 148-157. Springer, (2008)A Novel On-line VI-ADP for Nonlinear Discrete-time Systems., , , and . ICCA, page 1314-1319. IEEE, (2019)Adaptive Interleaved Reinforcement Learning: Robust Stability of Affine Nonlinear Systems With Unknown Uncertainty., , , , and . IEEE Trans. Neural Networks Learn. Syst., 33 (1): 270-280 (2022)