论文

论文列表按年份倒序展示,可使用关键词筛选。

2026

  1. TII
    Dynamic Multiobjective Optimization for Integrated Coal Mine Energy Systems With Streaming Constraints
    Chi Zhang, Miao Rong*, Shengxiang Yang, Quanke Pan, and Chen Peng*
    IEEE Transactions on Industrial Informatics, 2026
  2. A Q-Learning Driven Prediction Approach to Dynamic Constrained Many-Objective Engineering System Optimization
    Miao Rong, Yunjie Wang, and Chen Peng
    Expert Systems with Applications, 2026
  3. Integration path coverage testing of the changing driver code guided by knowledge graph
    Baicai Sun, Miao Rong, Gaige Wang, and Dunwei Gong
    Expert Systems with Applications, 2026
  4. AdaptiveStreamFL: A Bayesian-Enhanced Multi-Scale Federated Learning Framework for Dynamic Data Streams With Uncertainty Quantification
    Tai Xiong, Chi Zhang, Miao Rong*, Dunwei Gong, and Shengxiang Yang
    Expert Systems with Applications, 2026
  5. Inverse Dynamic-Augmented Deep Reinforcement Learning for Set-Point Control of Power Generation Systems
    Xiaoming Sun, Miao Rong*, Chuanliang Cheng, and Chen Peng*
    International Journal of Control, Automation and Systems, 2026

2025

  1. A Prediction and Weak Coevolution-Based Dynamic Constrained Multiobjective Optimization
    Dunwei Gong, Miao Rong*, Na Hu, Yan Wang, Witold Pedrycz, and Shengxiang Yang
    IEEE Transactions on Evolutionary Computation, 2025
  2. ISA
    Data-Driven Modeling and Adaptive Event-Triggered Secure Control for Autonomous Vehicles Subject to Sensor Attacks
    Hong-Tao Sun, Xinyu Xie, Miao Rong*, Zongying Feng, and Chen Peng
    ISA Transactions, 2025

2024

  1. INS
    A Federated GAN Network-Based Evolutionary Constrained Optimization Approach to Integrated Coal Mine Energy System
    Na Hu, Chi Zhang, Miao Rong*, Na Geng, and Dunwei Gong
    Information Sciences, 2024
  2. C&D
    基于双重距离的多目标粒子群优化算法
    慈雨, 荣淼*, and 彭晨
    控制与决策, 2024
  3. A Multiobjective Optimizer With a K-Means Cluster Algorithm for a Distributed Flexible Flowshop Rescheduling Problem
    Xin-Rui Tao, Quan-Ke Pan, Hongyan Sang, and Miao Rong
    Applied Soft Computing, 2024

2023

  1. A Composite Weighted Human Learning Network and Its Application for Modeling of the Intermediate Point Temperature in USC
    Chuanliang Cheng, Chen Peng, and Miao Rong
    Applied Soft Computing, 2023
  2. KBS
    Nondominated Sorting Genetic Algorithm-II With Q-Learning for the Distributed Permutation Flowshop Rescheduling Problem
    Xin-Rui Tao, Quan-Ke Pan, Hongyan Sang, Liang Gao, Bin Zhang, and Miao Rong
    Knowledge-Based Systems, 2023
  3. A Multi-Action Reinforcement Learning Algorithm for Energy-Efficiency Blocking Flow-Shop Scheduling Problem
    Yanan Bao, Quanke Pan, Miao Rong, Feng Yang, and Ling Wang
    In Proceedings of the 26th IEEE International Conference on Computer Supported Cooperative Work in Design, 2023

2022

  1. A Lagrangian Dual-Based Theory-Guided Deep Neural Network
    Miao Rong, Dongxiao Zhang*, and Nanzhe Wang
    Complex & Intelligent Systems, 2022
  2. Defect Detection of Tire Shoulder Belt Cord Joint Based on Periodic Texture
    Yixuan Zhang, Chen Peng, Miao Rong, and Dong Xu
    In Proceedings of the Asia Simulation Conference, 2022

2021

  1. JCP
    Weak Form Theory-Guided Neural Network (TgNN-Wf) for Deep Learning of Subsurface Single- and Two-Phase Flow
    Kun Xu, Dongxiao Zhang, Miao Rong, and Nanzhe Wang
    Journal of Computational Physics, 2021

2020

  1. A Multimodel Prediction Method for Dynamic Multiobjective Evolutionary Optimization
    Miao Rong, Dunwei Gong, Witold Pedrycz, and Ling Wang
    IEEE Transactions on Evolutionary Computation, 2020

2019

  1. Multidirectional Prediction Approach for Dynamic Multiobjective Optimization Problems
    Miao Rong, Dunwei Gong, Yong Zhang, Yaochu Jin, and Witold Pedrycz
    IEEE Transactions on Cybernetics, 2019
  2. Feature Selection and Its Use in Big Data: Challenges, Methods, and Trends
    Miao Rong, Dunwei Gong, and Xin-Zhi Gao
    IEEE Access, 2019

2018

  1. Environment Sensitivity-Based Cooperative Co-Evolutionary Algorithms for Dynamic Multi-Objective Optimization
    Dong-Wei Xu, Yong Zhang, Dunwei Gong, Yinan Guo, and Miao Rong
    IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2018

2016

  1. A Multi-Direction Prediction Approach for Dynamic Multi-Objective Optimization
    Miao Rong, Dunwei Gong, and Yong Zhang
    In Proceedings of the 12th International Conference on Intelligent Computing, 2016
  2. Cooperative Co-Evolutionary Algorithm for Dynamic Multi-Objective Optimization Based on Environmental Variable Grouping
    Dong-Wei Xu, Yong Zhang, Dunwei Gong, and Miao Rong
    In Proceedings of the International Conference on Swarm Intelligence, 2016
  3. Interval Cost Feature Selection Using Multi-Objective PSO and Linear Interval Programming
    Ling Zhang, Dunwei Gong, Miao Rong, and Shanfeng Guo
    In Proceedings of the International Conference on Swarm Intelligence, 2016

2015

  1. A Multi-Objective Feature Selection Based on Differential Evolution
    Ling Zhang, Miao Rong, and Dunwei Gong
    In Proceedings of the International Conference on Control, Automation and Information Sciences, 2015
  2. Multi-Objective Differential Evolution Algorithm for Multi-Label Feature Selection in Classification
    Ling Zhang, Dunwei Gong, and Miao Rong
    In Proceedings of the International Conference on Swarm Intelligence, 2015