An adaptive particle swarm optimizer with decoupled exploration and exploitation for large scale optimization D Li, W Guo, A Lerch, Y Li, L Wang, Q Wu Swarm and Evolutionary Computation 60, 100789, 2021 | 94 | 2021 |
Many-objective evolutionary algorithm based on relative non-dominance matrix M Zhang, L Wang, W Guo, W Li, D Li, B Hu, Q Wu Information Sciences 547, 963-983, 2021 | 26 | 2021 |
Many-objective evolutionary algorithm with adaptive reference vector M Zhang, L Wang, W Li, B Hu, D Li, Q Wu Information Sciences 563, 70-90, 2021 | 23 | 2021 |
Music generation system for adversarial training based on deep learning J Min, Z Liu, L Wang, D Li, M Zhang, Y Huang Processes 10 (12), 2515, 2022 | 21 | 2022 |
A particle swarm optimizer with dynamic balance of convergence and diversity for large-scale optimization D Li, L Wang, W Guo, M Zhang, B Hu, Q Wu Applied Soft Computing, 109852, 2022 | 20 | 2022 |
A large-scale multiobjective particle swarm optimizer with enhanced balance of convergence and diversity D Li, L Wang, L Li, W Guo, Q Wu, A Lerch IEEE Transactions on Cybernetics 54 (3), 1596-1607, 2022 | 15 | 2022 |
Chinese folk music composition based on genetic algorithm X Zheng, D Li, L Wang, Y Zhu, L Shen, Y Gao 2017 3rd International Conference on Computational Intelligence …, 2017 | 14 | 2017 |
Algorithm composition of Chinese folk music based on swarm intelligence X Zheng, L Wang, D Li, L Shen, Y Gao, W Guo, Y Wang International Journal of Computing Science and Mathematics 8 (5), 437-446, 2017 | 14 | 2017 |
Modeling and optimization of watering robot optimal path for ornamental plant care M Zhang, W Guo, L Wang, D Li, B Hu, Q Wu Computers & Industrial Engineering 157, 107263, 2021 | 11 | 2021 |
An automatic composition model of Chinese folk music X Zheng, D Li, L Wang, L Shen, Y Gao, Y Zhu AIP Conference Proceedings 1820 (1), 2017 | 11 | 2017 |
A Hybrid Swarm Composition for Chinese Music X Zheng, W Guo, D Li, L Wang, Y Wang Advances in Swarm Intelligence: 8th International Conference, ICSI 2017 …, 2017 | 8 | 2017 |
Particle swarm optimization-based solution updating strategy for biogeography-based optimization D Li, W Guo, L Wang, M Chen 2016 IEEE congress on evolutionary computation (CEC), 455-459, 2016 | 8 | 2016 |
A modified apsodee for large scale optimization D Li, W Guo, L Wang, Q Wu 2021 IEEE Congress on Evolutionary Computation (CEC), 1976-1982, 2021 | 6 | 2021 |
Multi-objective optimization technique for rsu deployment Z Kang, D Li, W Guo, Z Hua, G Liu, Y Mao International Conference on Data Mining and Big Data, 118-132, 2022 | 4 | 2022 |
Self-powered acceleration sensors arrayed by swarm intelligence for table tennis umpiring system K Lu, C Liu, H Zou, Y Wang, G Wang, D Li, K Fan, W Yang, L Dong, R Sha, ... Plos one 17 (10), e0272632, 2022 | 4 | 2022 |
Niching particle swarm optimizer with entropy-based exploration strategy for global optimization D Li, W Guo, L Wang Advances in Swarm Intelligence: 10th International Conference, ICSI 2019 …, 2019 | 4 | 2019 |
A Dual-Competition-Based Particle Swarm Optimizer for Large-Scale Optimization W Gao, X Peng, W Guo, D Li Mathematics 12 (11), 1738, 2024 | 3 | 2024 |
Multi-objective optimal roadside units deployment in urban vehicular networks W Guo, Z Kang, D Li, L Zhang, L Li IEEE Transactions on Vehicular Technology, 2024 | 2 | 2024 |
Scalable multi-objective optimization for robust traffic signal control in uncertain environments W Guo, W Li, Z Zhang, L Zhang, L Li, D Li arXiv preprint arXiv:2409.13388, 2024 | 2 | 2024 |
Deep reinforcement learning for urban multi-taxis cruising strategy W Guo, Z Hua, Z Kang, D Li, L Wang, Q Wu, A Lerch Neural Computing and Applications 34 (19), 16275-16289, 2022 | 2 | 2022 |