| A prediction strategy based on decision variable analysis for dynamic multi-objective optimization J Zheng, Y Zhou, J Zou, S Yang, J Ou, Y Hu Swarm and Evolutionary Computation 60, 100786, 2021 | 41 | 2021 |
| A dynamic multi-objective evolutionary algorithm based on intensity of environmental change Y Hu, J Zheng, J Zou, S Yang, J Ou, R Wang Information Sciences 523, 49-62, 2020 | 38 | 2020 |
| A dynamic multi-objective particle swarm optimization algorithm based on adversarial decomposition and neighborhood evolution J Zheng, Z Zhang, J Zou, S Yang, J Ou, Y Hu Swarm and Evolutionary Computation 69, 100987, 2022 | 32 | 2022 |
| A pareto-based evolutionary algorithm using decomposition and truncation for dynamic multi-objective optimization J Ou, J Zheng, G Ruan, Y Hu, J Zou, M Li, S Yang, X Tan Applied Soft Computing 85, 105673, 2019 | 31 | 2019 |
| A decision variable classification-based cooperative coevolutionary algorithm for dynamic multiobjective optimization H Xie, J Zou, S Yang, J Zheng, J Ou, Y Hu Information Sciences 560, 307-330, 2021 | 28 | 2021 |
| Solving dynamic multi-objective problems with an evolutionary multi-directional search approach Y Hu, J Ou, J Zheng, J Zou, S Yang, G Ruan Knowledge-Based Systems 194, 105175, 2020 | 16 | 2020 |
| Deep reinforcement learning method for satellite range scheduling problem J Ou, L Xing, F Yao, M Li, J Lv, Y He, Y Song, J Wu, G Zhang Swarm and Evolutionary Computation 77, 101233, 2023 | 15 | 2023 |
| A cluster-based genetic optimization method for satellite range scheduling system Y Song, J Ou, J Wu, Y Wu, L Xing, Y Chen Swarm and Evolutionary Computation 79, 101316, 2023 | 13 | 2023 |
| An efficient local search heuristic for earth observation satellite integrated scheduling Y Chen, J Lu, R He, J Ou Applied Sciences 10 (16), 5616, 2020 | 11 | 2020 |
| A novel prediction strategy based on change degree of decision variables for dynamic multi-objective optimization J Ou, L Xing, M Liu, L Yang IEEE Access 8, 13362-13374, 2019 | 10 | 2019 |
| Ensemble reinforcement learning: A survey Y Song, PN Suganthan, W Pedrycz, J Ou, Y He, Y Chen, Y Wu Applied Soft Computing, 110975, 2023 | 9 | 2023 |
| A data-driven improved genetic algorithm for agile earth observation satellite scheduling with time-dependent transition time J Wu, B Song, G Zhang, J Ou, Y Chen, F Yao, L He, L Xing Computers & Industrial Engineering 174, 108823, 2022 | 9 | 2022 |
| Individual-based self-learning prediction method for dynamic multi-objective optimization J Ou, M Li, L Xing, J Lv, Y Hu, N Dong, G Zhang Information Sciences 613, 401-418, 2022 | 9 | 2022 |
| An evolutionary dynamic multi-objective optimization algorithm based on center-point prediction and sub-population autonomous guidance J Zhou, J Zou, S Yang, G Ruan, J Ou, J Zheng 2018 IEEE Symposium Series on Computational Intelligence (SSCI), 2148-2154, 2018 | 9 | 2018 |
| Generalized Model and Deep Reinforcement Learning-Based Evolutionary Method for Multitype Satellite Observation Scheduling Y Song, J Ou, W Pedrycz, PN Suganthan, X Wang, L Xing, Y Zhang IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2024 | 3 | 2024 |
| Learning adaptive genetic algorithm for earth electromagnetic satellite scheduling Y Song, J Ou, PN Suganthan, W Pedrycz, Q Yang, L Xing IEEE Transactions on Aerospace and Electronic Systems, 2023 | 3 | 2023 |
| Frequent pattern-based parallel search approach for time-dependent agile earth observation satellite scheduling J Wu, F Yao, Y Song, L He, F Lu, Y Du, J Yan, Y Chen, L Xing, J Ou Information Sciences 636, 118924, 2023 | 3 | 2023 |
| An improved heterogeneous graph convolutional network for job recommendation H Wang, W Yang, J Li, J Ou, Y Song, Y Chen Engineering Applications of Artificial Intelligence 126, 107147, 2023 | 2 | 2023 |
| A reinforcement-learning-driven bees algorithm for large-scale earth observation satellite scheduling Y Song, J Ou, DT Pham, J Li, J Huang, L Xing International Conference on Bio-Inspired Computing: Theories and …, 2022 | 1 | 2022 |
| On the effect of particle update modes in particle swarm optimisation N Dong, R Wang, T Zhang, J Ou International Journal of Bio-Inspired Computation 21 (4), 230-239, 2023 | | 2023 |
