Junwei Ou

Orcid: 0000-0001-8769-0953

According to our database1, Junwei Ou authored at least 19 papers between 2018 and 2024.

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Bibliography

2024
Generalized Model and Deep Reinforcement Learning-Based Evolutionary Method for Multitype Satellite Observation Scheduling.
IEEE Trans. Syst. Man Cybern. Syst., April, 2024

2023
Learning Adaptive Genetic Algorithm for Earth Electromagnetic Satellite Scheduling.
IEEE Trans. Aerosp. Electron. Syst., December, 2023

An improved heterogeneous graph convolutional network for job recommendation.
Eng. Appl. Artif. Intell., November, 2023

Frequent pattern-based parallel search approach for time-dependent agile earth observation satellite scheduling.
Inf. Sci., July, 2023

Deep reinforcement learning method for satellite range scheduling problem.
Swarm Evol. Comput., March, 2023

A cluster-based genetic optimization method for satellite range scheduling system.
Swarm Evol. Comput., 2023

On the effect of particle update modes in particle swarm optimisation.
Int. J. Bio Inspired Comput., 2023

Ensemble Reinforcement Learning: A Survey.
CoRR, 2023

2022
A dynamic multi-objective particle swarm optimization algorithm based on adversarial decomposition and neighborhood evolution.
Swarm Evol. Comput., 2022

Individual-based self-learning prediction method for dynamic multi-objective optimization.
Inf. Sci., 2022

A data-driven improved genetic algorithm for agile earth observation satellite scheduling with time-dependent transition time.
Comput. Ind. Eng., 2022

A Reinforcement-Learning-Driven Bees Algorithm for Large-Scale Earth Observation Satellite Scheduling.
Proceedings of the Bio-Inspired Computing: Theories and Applications, 2022

2021
A prediction strategy based on decision variable analysis for dynamic Multi-objective Optimization.
Swarm Evol. Comput., 2021

A decision variable classification-based cooperative coevolutionary algorithm for dynamic multiobjective optimization.
Inf. Sci., 2021

2020
Solving dynamic multi-objective problems with an evolutionary multi-directional search approach.
Knowl. Based Syst., 2020

A dynamic multi-objective evolutionary algorithm based on intensity of environmental change.
Inf. Sci., 2020

A Novel Prediction Strategy Based on Change Degree of Decision Variables for Dynamic Multi-Objective Optimization.
IEEE Access, 2020

2019
A pareto-based evolutionary algorithm using decomposition and truncation for dynamic multi-objective optimization.
Appl. Soft Comput., 2019

2018
An Evolutionary Dynamic Multi-objective Optimization Algorithm Based on Center-point Prediction and Sub-population Autonomous Guidance.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018


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