| Adaptive composite operator selection and parameter control for multiobjective evolutionary algorithm Q Lin, Z Liu, Q Yan, Z Du, CAC Coello, Z Liang, W Wang, J Chen Information Sciences 339, 332-352, 2016 | 82 | 2016 |
| A novel artificial bee colony algorithm with local and global information interaction Q Lin, M Zhu, G Li, W Wang, L Cui, J Chen, J Lu Applied Soft Computing 62, 702-735, 2018 | 63 | 2018 |
| A novel adaptive hybrid crossover operator for multiobjective evolutionary algorithm Q Zhu, Q Lin, Z Du, Z Liang, W Wang, Z Zhu, J Chen, P Huang, Z Ming Information Sciences 345, 177-198, 2016 | 63 | 2016 |
| An effective ensemble framework for multiobjective optimization W Wang, S Yang, Q Lin, Q Zhang, KC Wong, CAC Coello, J Chen IEEE Transactions on Evolutionary Computation 23 (4), 645-659, 2018 | 41 | 2018 |
| A multi-objective immune algorithm with dynamic population strategy Q Lin, Q Zhu, N Wang, P Huang, W Wang, J Chen, Z Ming Swarm and Evolutionary Computation 50, 100477, 2019 | 27 | 2019 |
| Towards machine learning approaches for predicting the self-healing efficiency of materials W Wang, NG Moreau, Y Yuan, PR Race, W Pang Computational Materials Science 168, 180-187, 2019 | 22 | 2019 |
| A novel genetic algorithm with hierarchical evaluation strategy for hyperparameter optimisation of graph neural networks Y Yuan, W Wang, GM Coghill, W Pang arXiv preprint arXiv:2101.09300, 2021 | 19 | 2021 |
| A systematic comparison study on hyperparameter optimisation of graph neural networks for molecular property prediction Y Yuan, W Wang, W Pang Proceedings of the Genetic and Evolutionary Computation Conference, 386-394, 2021 | 18 | 2021 |
| A genetic algorithm with tree-structured mutation for hyperparameter optimisation of graph neural networks Y Yuan, W Wang, W Pang 2021 IEEE Congress on Evolutionary Computation (CEC), 482-489, 2021 | 11 | 2021 |
| A novel pso-de co-evolutionary algorithm based on decomposition framework S Yang, W Wang, Q Lin, J Chen Smart Computing and Communication: First International Conference, SmartCom …, 2017 | 6 | 2017 |
| Which hyperparameters to optimise? An investigation of evolutionary hyperparameter optimisation in graph neural network for molecular property prediction Y Yuan, W Wang, W Pang Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2021 | 4 | 2021 |
| Adaptive parameter regularization model for guidance instrumental error separation and its application W Wang, X Duan, J Zhu Journal of Ballistics 25 (3), 28-33, 2013 | 4 | 2013 |
| Evolutionary learning for soft margin problems: A case study on practical problems with kernels W Wang, W Pang, PA Bingham, M Mania, TY Chen, JJ Perry 2020 IEEE Congress on Evolutionary Computation (CEC), 1-7, 2020 | 1 | 2020 |
| Identification method of systematic errors model of a missile-borne radar W Wang, X J. Duan, J J. Zhu, B, Q Zhang Acta Armamentarii 35 (2), 273-279, 2014 | 1 | 2014 |
| Eigenvalue decomposition based modified Newton algorithm WJ Wang, JB Zhu, XJ Duan Applied Mechanics and Materials 347, 2586-2589, 2013 | 1 | 2013 |
| Impact analysis of guidance instrument error separation accuracy on sampling rate of inertial navigation equipment WJ Wang, XJ Duan, JB Zhu Applied Mechanics and Materials 341, 880-886, 2013 | 1 | 2013 |
| Interest models and applications in analyzing the rise and decline of Qing dynasty W Wang, Y Lin, J Zhu Kybernetes 40 (9/10), 1486-1502, 2011 | 1 | 2011 |
| Evolving Molecular Graph Neural Networks with Hierarchical Evaluation Strategy Y Yingfang, W Wenjun, L Xin, C Kefan, Z Yonghan, P Wei GECCO 2024, 2024 | | 2024 |
| HGADC: Hierarchical Genetic Algorithm with Density-Based Clustering for TSP S Zhenghan, L Yunyi, W Wenjun The 18th International Conference on Bio-inspired Computing: Theories and …, 2023 | | 2023 |
jianyong chenShenzhen university在 szu.edu.cn 的电子邮件经过验证
