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2020 – today
- 2024
[j9]Xin-Rui Tao, Quan-Ke Pan, Hongyan Sang
, Miao Rong:
A multiobjective optimizer with a K-means cluster algorithm for a distributed flexible flowshop rescheduling problem. Appl. Soft Comput. 166: 112124 (2024)- [j8]Na Hu, Chi Zhang, Miao Rong, Na Geng, Dunwei Gong:
A federated GAN network-based evolutionary constrained optimization approach to integrated coal mine energy system. Inf. Sci. 680: 121158 (2024) - 2023
- [j7]Chuanliang Cheng, Chen Peng, Miao Rong:
A composite weighted human learning network and its application for modeling of the intermediate point temperature in USC. Appl. Soft Comput. 144: 110488 (2023) - [j6]Xin-Rui Tao, Quan-Ke Pan, Hongyan Sang, Liang Gao, Aolei Yang, Miao Rong:
Nondominated sorting genetic algorithm-II with Q-learning for the distributed permutation flowshop rescheduling problem. Knowl. Based Syst. 278: 110880 (2023) - [c7]Haizhu Bao, Quanke Pan, Miao Rong, Aolei Yang, Xiaohua Wang:
A Multi-action Reinforcement Learning Algorithm for Energy-efficiency Blocking Flow-shop Scheduling Problem. CSCWD 2023: 492-497 - 2022
- [c6]Zhen Zhang, Chen Peng, Miao Rong, Liang Xiao:
Defect Detection of Tire Shoulder Belt Cord Joint Based on Periodic Texture. AsiaSim (1) 2022: 572-582 - 2021
- [j5]Rui Xu, Dongxiao Zhang, Miao Rong, Nanzhe Wang:
Weak form theory-guided neural network (TgNN-wf) for deep learning of subsurface single- and two-phase flow. J. Comput. Phys. 436: 110318 (2021) - 2020
- [j4]Miao Rong, Dunwei Gong, Witold Pedrycz, Ling Wang:
A Multimodel Prediction Method for Dynamic Multiobjective Evolutionary Optimization. IEEE Trans. Evol. Comput. 24(2): 290-304 (2020) - [i2]Miao Rong, Dongxiao Zhang, Nanzhe Wang:
A Lagrangian Dual-based Theory-guided Deep Neural Network. CoRR abs/2008.10159 (2020) - [i1]Rui Xu, Dongxiao Zhang, Miao Rong, Nanzhe Wang:
Weak Form Theory-guided Neural Network (TgNN-wf) for Deep Learning of Subsurface Single and Two-phase Flow. CoRR abs/2009.04543 (2020)
2010 – 2019
- 2019
- [j3]Miao Rong, Dunwei Gong, Xiaozhi Gao:
Feature Selection and Its Use in Big Data: Challenges, Methods, and Trends. IEEE Access 7: 19709-19725 (2019) - [j2]Miao Rong, Dunwei Gong, Yong Zhang, Yaochu Jin, Witold Pedrycz:
Multidirectional Prediction Approach for Dynamic Multiobjective Optimization Problems. IEEE Trans. Cybern. 49(9): 3362-3374 (2019) - 2018
- [j1]Biao Xu, Yong Zhang, Dunwei Gong, Yi-Nan Guo, Miao Rong:
Environment Sensitivity-Based Cooperative Co-Evolutionary Algorithms for Dynamic Multi-Objective Optimization. IEEE ACM Trans. Comput. Biol. Bioinform. 15(6): 1877-1890 (2018) - 2016
- [c5]Miao Rong, Dun-Wei Gong, Yong Zhang:
A Multi-direction Prediction Approach for Dynamic Multi-objective Optimization. ICIC (3) 2016: 629-636 - [c4]Biao Xu, Yong Zhang, Dun-Wei Gong, Miao Rong:
Cooperative Co-evolutionary Algorithm for Dynamic Multi-objective Optimization Based on Environmental Variable Grouping. ICSI (1) 2016: 564-570 - [c3]Yong Zhang, Dun-Wei Gong, Miao Rong, Yi-Nan Guo:
Interval Cost Feature Selection Using Multi-objective PSO and Linear Interval Programming. ICSI (1) 2016: 579-586 - 2015
- [c2]Yong Zhang, Miao Rong, Dunwei Gong:
A multi-objective feature selection based on differential evolution. ICCAIS 2015: 302-306 - [c1]Yong Zhang, Dun-Wei Gong, Miao Rong:
Multi-objective Differential Evolution Algorithm for Multi-label Feature Selection in Classification. ICSI (1) 2015: 339-345
Coauthor Index
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