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Two-stage assortative mating for multi-objective multifactorial evolutionary optimization.

, , , and . CDC, page 76-81. IEEE, (2017)

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Interactive Software Platform of Intelligent Supervisory Control for the Mineral Grinding Process., , , and . CCA, page 836-841. IEEE, (2007)Reference point based prediction for evolutionary dynamic multiobjective optimization., , , and . CEC, page 3769-3776. IEEE, (2016)Off-Policy Q-Learning: Set-Point Design for Optimizing Dual-Rate Rougher Flotation Operational Processes., , , , , and . IEEE Trans. Ind. Electron., 65 (5): 4092-4102 (2018)Knee-Based Decision Making and Visualization in Many-Objective Optimization., , and . IEEE Trans. Evol. Comput., 25 (2): 292-306 (2021)A hybrid evolutionary multiobjective optimization strategy for the dynamic power supply problem in magnesia grain manufacturing., , , and . Appl. Soft Comput., 13 (5): 2960-2969 (2013)NMR principle analysis based object detection for intelligent measurement of crude oil moisture content., , and . ASCC, page 456-461. IEEE, (2019)Iterative learning based particle size distribution control in grinding process using output PDF method., , , , and . ICCA, page 63-68. IEEE, (2013)Hierarchical-Bayesian-Based Sparse Stochastic Configuration Networks for Construction of Prediction Intervals., , , and . IEEE Trans. Neural Networks Learn. Syst., 33 (8): 3560-3571 (2022)Ensemble Stochastic Configuration Networks for Estimating Prediction Intervals: A Simultaneous Robust Training Algorithm and Its Application., , , and . IEEE Trans. Neural Networks Learn. Syst., 31 (12): 5426-5440 (2020)Large-dimensional multi-objective evolutionary algorithms based on improved average ranking., , , and . CDC, page 502-507. IEEE, (2010)