| Push and pull search for solving constrained multi-objective optimization problems Z Fan, W Li, X Cai, H Li, C Wei, Q Zhang, K Deb, E Goodman Swarm and evolutionary computation 44, 665-679, 2019 | 419 | 2019 |
| Automatic pavement crack detection based on structured prediction with the convolutional neural network Z Fan, Y Wu, J Lu, W Li arXiv preprint arXiv:1802.02208, 2018 | 339 | 2018 |
| An improved epsilon constraint-handling method in MOEA/D for CMOPs with large infeasible regions Z Fan, W Li, X Cai, H Huang, Y Fang, Y You, J Mo, C Wei, E Goodman Soft Computing 23, 12491-12510, 2019 | 312 | 2019 |
| Difficulty adjustable and scalable constrained multiobjective test problem toolkit Z Fan, W Li, X Cai, H Li, C Wei, Q Zhang, K Deb, E Goodman Evolutionary computation 28 (3), 339-378, 2020 | 229 | 2020 |
| MOEA/D with angle-based constrained dominance principle for constrained multi-objective optimization problems Z Fan, Y Fang, W Li, X Cai, C Wei, E Goodman Applied Soft Computing 74, 621-633, 2019 | 145 | 2019 |
| An improved epsilon constraint handling method embedded in MOEA/D for constrained multi-objective optimization problems Z Fan, H Li, C Wei, W Li, H Huang, X Cai, Z Cai 2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2016 | 98 | 2016 |
| Genetic U-Net: automatically designed deep networks for retinal vessel segmentation using a genetic algorithm J Wei, G Zhu, Z Fan, J Liu, Y Rong, J Mo, W Li, X Chen IEEE Transactions on Medical Imaging 41 (2), 292-307, 2021 | 93 | 2021 |
| LSHADE44 with an Improved Constraint-Handling Method for Solving Constrained Single-Objective Optimization Problems Z Fan, Y Fang, W Li, Y Yuan, Z Wang, X Bian 2018 IEEE congress on evolutionary computation (CEC), 1-8, 2018 | 84 | 2018 |
| A comparative study of constrained multi-objective evolutionary algorithms on constrained multi-objective optimization problems Z Fan, Y Fang, W Li, J Lu, X Cai, C Wei 2017 IEEE congress on evolutionary computation (CEC), 209-216, 2017 | 75 | 2017 |
| Push and pull search embedded in an M2M framework for solving constrained multi-objective optimization problems Z Fan, Z Wang, W Li, Y Yuan, Y You, Z Yang, F Sun, J Ruan Swarm and Evolutionary Computation 54, 100651, 2020 | 65 | 2020 |
| Optic disk detection in fundus image based on structured learning Z Fan, Y Rong, X Cai, J Lu, W Li, H Lin, X Chen IEEE journal of biomedical and health informatics 22 (1), 224-234, 2017 | 65 | 2017 |
| Angle-based constrained dominance principle in MOEA/D for constrained multi-objective optimization problems Z Fan, W Li, X Cai, K Hu, H Lin, H Li 2016 IEEE congress on evolutionary computation (CEC), 460-467, 2016 | 47 | 2016 |
| Accurate retinal vessel segmentation via octave convolution neural network Z Fan, J Mo, B Qiu, W Li, G Zhu, C Li, J Hu, Y Rong, X Chen arXiv preprint arXiv:1906.12193, 2019 | 39 | 2019 |
| Evolutionary neural architecture search for retinal vessel segmentation Z Fan, J Wei, G Zhu, J Mo, W Li arXiv preprint arXiv:2001.06678, 2020 | 33 | 2020 |
| Automated strabismus detection for telemedicine applications J Lu, Z Fan, C Zheng, J Feng, L Huang, W Li, ED Goodman arXiv preprint arXiv:1809.02940, 2018 | 30 | 2018 |
| Evolutionary based Pareto optimization algorithms for bi-objective PV array reconfiguration under partial shading conditions X Zhang, D Meng, W Li, T Yu, Z Fan, Z Hao Energy Conversion and Management 271, 116308, 2022 | 26 | 2022 |
| Torch: Strategy evolution in swarm robots using heterogeneous–homogeneous coevolution method M Wu, X Zhu, L Ma, J Wang, W Bao, W Li, Z Fan Journal of Industrial Information Integration 25, 100239, 2022 | 23 | 2022 |
| A manipulator design optimization based on constrained multi-objective evolutionary algorithms Y Xiao, Z Fan, W Li, S Chen, L Zhao, H Xie 2016 international conference on industrial informatics-computing technology …, 2016 | 21 | 2016 |
| A learning guided parameter setting for constrained multi-objective optimization Z Fan, J Ruan, W Li, Y You, X Cai, Z Xu, Z Yang, F Sun, Z Wang, Y Yuan, ... 2019 1st International Conference on Industrial Artificial Intelligence (IAI …, 2019 | 17 | 2019 |
| Multi-factorial evolutionary algorithm based on M2M decomposition J Mo, Z Fan, W Li, Y Fang, Y You, X Cai Simulated Evolution and Learning: 11th International Conference, SEAL 2017 …, 2017 | 17 | 2017 |
Qingfu ZhangChair Professor, FIEEE, City University of Hong KongВерификована је имејл адреса на cityu.edu.hk