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 | 318 | 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 | 309 | 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 | 237 | 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 | 167 | 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 | 124 | 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 | 85 | 2016 |
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 | 77 | 2018 |
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 | 67 | 2021 |
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 | 66 | 2017 |
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 | 63 | 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 | 52 | 2020 |
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 | 41 | 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 | 37 | 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 | 29 | 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 | 21 | 2018 |
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 | 19 | 2022 |
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 | 19 | 2017 |
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 | 18 | 2016 |
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 | 16 | 2022 |
Automated strabismus detection based on deep neural networks for telemedicine application J Lu, J Feng, Z Fan, L Huang, C Zheng, W Li Knowledge-based systems 13, 2019 | 14 | 2019 |