Junwei Ou

According to our database, Junwei Ou authored at least 22 papers between 2018 and 2024.

Collaborative distances:

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

2024

Ensemble reinforcement learning: A survey.

Yanjie Song, Ponnuthurai Nagaratnam Suganthan, Witold Pedrycz, Junwei Ou, Yongming He, Ying-Wu Chen, Yutong Wu

Appl. Soft Comput., December, 2024

Generalized Model and Deep Reinforcement Learning-Based Evolutionary Method for Multitype Satellite Observation Scheduling.

Yanjie Song, Junwei Ou, Witold Pedrycz, Ponnuthurai Nagaratnam Suganthan, Xinwei Wang, Lining Xing, Yue Zhang

IEEE Trans. Syst. Man Cybern. Syst., April, 2024

The IGD-based prediction strategy for dynamic multi-objective optimization.

Yaru Hu, Jiankang Peng, Junwei Ou, Yana Li, Jinhua Zheng, Juan Zou, Shouyong Jiang, Shengxiang Yang, Jun Li

Swarm Evol. Comput., 2024

Solving many-objective delivery and pickup vehicle routing problem with time windows with a constrained evolutionary optimization algorithm.

Junwei Ou, Xiaolu Liu, Lining Xing, Jimin Lv, Yaru Hu, Jinhua Zheng, Juan Zou, Mengjun Li

Expert Syst. Appl., 2024

2023

Learning Adaptive Genetic Algorithm for Earth Electromagnetic Satellite Scheduling.

Yanjie Song, Junwei Ou, Ponnuthurai Nagaratnam Suganthan, Witold Pedrycz, Qinwen Yang, Lining Xing

IEEE Trans. Aerosp. Electron. Syst., December, 2023

An improved heterogeneous graph convolutional network for job recommendation.

Hao Wang, Wenchuan Yang, Jichao Li, Junwei Ou, Yanjie Song, Yingwu Chen

Eng. Appl. Artif. Intell., November, 2023

Frequent pattern-based parallel search approach for time-dependent agile earth observation satellite scheduling.

Jian Wu, Feng Yao, Yanjie Song, Lei He, Fang Lu, Yonghao Du, Jungang Yan, Yuning Chen, Lining Xing, Junwei Ou

Inf. Sci., July, 2023

Deep reinforcement learning method for satellite range scheduling problem.

Junwei Ou, Lining Xing, Feng Yao, Mengjun Li, Jimin Lv, Yongming He, Yanjie Song, Jian Wu, Guoting Zhang

Swarm Evol. Comput., March, 2023

A cluster-based genetic optimization method for satellite range scheduling system.

Yanjie Song, Junwei Ou, Jian Wu, Yutong Wu, Lining Xing, Yingwu Chen

Swarm Evol. Comput., 2023

On the effect of particle update modes in particle swarm optimisation.

Nanjiang Dong, Rui Wang, Tao Zhang, Junwei Ou

Int. J. Bio Inspired Comput., 2023

Ensemble Reinforcement Learning: A Survey.

Yanjie Song, Ponnuthurai N. Suganthan, Witold Pedrycz, Junwei Ou, Yongming He, Yingwu Chen

CoRR, 2023

2022

A dynamic multi-objective particle swarm optimization algorithm based on adversarial decomposition and neighborhood evolution.

Jinhua Zheng, Zeyu Zhang, Juan Zou, Shengxiang Yang, Junwei Ou, Yaru Hu

Swarm Evol. Comput., 2022

Individual-based self-learning prediction method for dynamic multi-objective optimization.

Junwei Ou, Mengjun Li, Lining Xing, Jimin Lv, Yaru Hu, Nanjiang Dong, Guoting Zhang

Inf. Sci., 2022

A data-driven improved genetic algorithm for agile earth observation satellite scheduling with time-dependent transition time.

Jian Wu, Bingyu Song, Guoting Zhang, Junwei Ou, Yuning Chen, Feng Yao, Lei He, Lining Xing

Comput. Ind. Eng., 2022

A Reinforcement-Learning-Driven Bees Algorithm for Large-Scale Earth Observation Satellite Scheduling.

Yan-jie Song, Junwei Ou, D. T. Pham, Jiting Li, Jingbo Huang, Lining Xing

Proceedings of the Bio-Inspired Computing: Theories and Applications, 2022

2021

A prediction strategy based on decision variable analysis for dynamic Multi-objective Optimization.

Jinhua Zheng, Yubing Zhou, Juan Zou, Shengxiang Yang, Junwei Ou, Yaru Hu

Swarm Evol. Comput., 2021

A decision variable classification-based cooperative coevolutionary algorithm for dynamic multiobjective optimization.

Huipeng Xie, Juan Zou, Shengxiang Yang, Jinhua Zheng, Junwei Ou, Yaru Hu

Inf. Sci., 2021

2020

Solving dynamic multi-objective problems with an evolutionary multi-directional search approach.

Yaru Hu, Junwei Ou, Jinhua Zheng, Juan Zou, Shengxiang Yang, Gan Ruan

Knowl. Based Syst., 2020

A dynamic multi-objective evolutionary algorithm based on intensity of environmental change.

Yaru Hu, Jinhua Zheng, Juan Zou, Shengxiang Yang, Junwei Ou, Rui Wang

Inf. Sci., 2020

A Novel Prediction Strategy Based on Change Degree of Decision Variables for Dynamic Multi-Objective Optimization.

Junwei Ou, Lining Xing, Min Liu, Lihua Yang

IEEE Access, 2020

2019

A pareto-based evolutionary algorithm using decomposition and truncation for dynamic multi-objective optimization.

Junwei Ou, Jinhua Zheng, Gan Ruan, Yaru Hu, Juan Zou, Miqing Li, Shengxiang Yang, Xu Tan

Appl. Soft Comput., 2019

2018

An Evolutionary Dynamic Multi-objective Optimization Algorithm Based on Center-point Prediction and Sub-population Autonomous Guidance.

Jianwei Zhou, Juan Zou, Shengxiang Yang, Gan Ruan, Junwei Ou, Jinhua Zheng

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018