Miao Rong

According to our database, Miao Rong authored at least 17 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

A federated GAN network-based evolutionary constrained optimization approach to integrated coal mine energy system.

Na Hu, Chi Zhang, Miao Rong, Na Geng, Dunwei Gong

Inf. Sci., 2024

A multiobjective optimizer with a K-means cluster algorithm for a distributed flexible flowshop rescheduling problem.

Xin-Rui Tao, Quan-Ke Pan, Hongyan Sang, Miao Rong

Appl. Soft Comput., 2024

2023

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, Aolei Yang, Miao Rong

Knowl. Based Syst., October, 2023

A composite weighted human learning network and its application for modeling of the intermediate point temperature in USC.

Chuanliang Cheng, Chen Peng, Miao Rong

Appl. Soft Comput., September, 2023

A Multi-action Reinforcement Learning Algorithm for Energy-efficiency Blocking Flow-shop Scheduling Problem.

Haizhu Bao, Quanke Pan, Miao Rong, Aolei Yang, Xiaohua Wang

Proceedings of the 26th International Conference on Computer Supported Cooperative Work in Design, 2023

2022

Defect Detection of Tire Shoulder Belt Cord Joint Based on Periodic Texture.

Zhen Zhang, Chen Peng, Miao Rong, Liang Xiao

Proceedings of the Methods and Applications for Modeling and Simulation of Complex Systems, 2022

2021

Weak form theory-guided neural network (TgNN-wf) for deep learning of subsurface single- and two-phase flow.

Rui Xu, Dongxiao Zhang, Miao Rong, Nanzhe Wang

J. Comput. Phys., 2021

2020

A Multimodel Prediction Method for Dynamic Multiobjective Evolutionary Optimization.

Miao Rong, Dunwei Gong, Witold Pedrycz, Ling Wang

IEEE Trans. Evol. Comput., 2020

A Lagrangian Dual-based Theory-guided Deep Neural Network.

Miao Rong, Dongxiao Zhang, Nanzhe Wang

CoRR, 2020

2019

Multidirectional Prediction Approach for Dynamic Multiobjective Optimization Problems.

Miao Rong, Dunwei Gong, Yong Zhang, Yaochu Jin, Witold Pedrycz

IEEE Trans. Cybern., 2019

Feature Selection and Its Use in Big Data: Challenges, Methods, and Trends.

Miao Rong, Dunwei Gong, Xiaozhi Gao

IEEE Access, 2019

2018

Environment Sensitivity-Based Cooperative Co-Evolutionary Algorithms for Dynamic Multi-Objective Optimization.

Biao Xu, Yong Zhang, Dunwei Gong, Yi-Nan Guo, Miao Rong

IEEE ACM Trans. Comput. Biol. Bioinform., 2018

2016

Interval Cost Feature Selection Using Multi-objective PSO and Linear Interval Programming.

Yong Zhang, Dun-Wei Gong, Miao Rong, Yi-Nan Guo

Proceedings of the Advances in Swarm Intelligence, 7th International Conference, 2016

Cooperative Co-evolutionary Algorithm for Dynamic Multi-objective Optimization Based on Environmental Variable Grouping.

Biao Xu, Yong Zhang, Dun-Wei Gong, Miao Rong

Proceedings of the Advances in Swarm Intelligence, 7th International Conference, 2016

A Multi-direction Prediction Approach for Dynamic Multi-objective Optimization.

Miao Rong, Dun-Wei Gong, Yong Zhang

Proceedings of the Intelligent Computing Methodologies - 12th International Conference, 2016

2015

Multi-objective Differential Evolution Algorithm for Multi-label Feature Selection in Classification.

Yong Zhang, Dun-Wei Gong, Miao Rong

Proceedings of the Advances in Swarm and Computational Intelligence, 2015

A multi-objective feature selection based on differential evolution.

Yong Zhang, Miao Rong, Dunwei Gong

Proceedings of the 2015 International Conference on Control, 2015