| Evolutionary dynamic multiobjective optimization assisted by a support vector regression predictor L Cao, L Xu, ED Goodman, C Bao, S Zhu IEEE Transactions on Evolutionary Computation 24 (2), 305-319, 2019 | 125 | 2019 |
| Many-objective fuzzy centroids clustering algorithm for categorical data S Zhu, L Xu Expert Systems with Applications 96, 230-248, 2018 | 54 | 2018 |
| A new many-objective evolutionary algorithm based on generalized Pareto dominance S Zhu, L Xu, ED Goodman, Z Lu IEEE Transactions on Cybernetics 52 (8), 7776-7790, 2021 | 44 | 2021 |
| Evolutionary multi-objective automatic clustering enhanced with quality metrics and ensemble strategy S Zhu, L Xu, ED Goodman Knowledge-Based Systems 188, 105018, 2020 | 40 | 2020 |
| Kernel-based multiobjective clustering algorithm with automatic attribute weighting Z Zhou, S Zhu Soft Computing 22 (11), 3685-3709, 2018 | 31 | 2018 |
| An improved adaptive and fast AF-DBSCAN clustering algorithm Z Zhiping, W Jiefeng, Z Shuwei, SUN Ziwen CAAI Transactions on Intelligent Systems 11 (1), 93-98, 2016 | 24 | 2016 |
| Hierarchical topology-based cluster representation for scalable evolutionary multiobjective clustering S Zhu, L Xu, ED Goodman IEEE Transactions on Cybernetics 52 (9), 9846-9860, 2021 | 18 | 2021 |
| K-harmonic means clustering algorithm using feature weighting for color image segmentation Z Zhou, X Zhao, S Zhu Multimedia Tools and Applications 77, 15139-15160, 2018 | 17 | 2018 |
| A differential prediction model for evolutionary dynamic multiobjective optimization L Cao, L Xu, ED Goodman, S Zhu, H Li Proceedings of the Genetic and Evolutionary Computation Conference, 601-608, 2018 | 11 | 2018 |
| A novel K-harmonic means clustering based on enhanced firefly algorithm Z Zhou, S Zhu, D Zhang Intelligence Science and Big Data Engineering. Big Data and Machine Learning …, 2015 | 10 | 2015 |
| A study of automatic clustering based on evolutionary many-objective optimization S Zhu, L Xu, L Cao Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2018 | 7 | 2018 |
| An improved binary quantum-behaved particle swarm optimization algorithm for knapsack problems X Li, W Fang, S Zhu Information Sciences 648, 119529, 2023 | 5 | 2023 |
| A general framework for enhancing relaxed Pareto dominance methods in evolutionary many-objective optimization S Zhu, L Xu, E Goodman, K Deb, Z Lu Natural Computing 22 (2), 287-313, 2023 | 4 | 2023 |
| An Improved Competitive Swarm Optimizer Based on Generalized Pareto Dominance for Large-scale Multi-objective and Many-objective Problems M Cui, L Li, S Zhu, MC Zhou 2021 IEEE International Conference on Networking, Sensing and Control (ICNSC …, 2021 | 3 | 2021 |
| Pruning of network filters for small dataset Z Li, L Xu, S Zhu IEEE Access 8, 4522-4533, 2019 | 3 | 2019 |
| K-harmonic means clustering merged with parallel chaotic firefly algorithm ZHU Shuwei, Z Zhiping, Z Daowen CAAI Transactions on Intelligent Systems 35 (3), 685-690, 2015 | 2 | 2015 |
| Improved multi-objective firefly algorithm-based fuzzy clustering S ZHU, Z ZHOU, D ZHANG Journal of Computer Applications 35 (3), 685, 2015 | 1 | 2015 |
| Evolutionary Optimization Methods for High-Dimensional Expensive Problems: A Survey MC Zhou, M Cui, D Xu, S Zhu, Z Zhao, A Abusorrah IEEE/CAA Journal of Automatica Sinica 11 (5), 1092-1105, 2024 | | 2024 |
| Research progress on intelligent optimization techniques for energy-efficient design of ship hull forms S Zhu, S Lv, K Chen, W Fang, L Cao arXiv preprint arXiv:2403.05832, 2024 | | 2024 |
| An adaptive binary quantum-behaved particle swarm optimization algorithm for the multidimensional knapsack problem X Li, W Fang, S Zhu, X Zhang Swarm and Evolutionary Computation, 101494, 2024 | | 2024 |
Leilei CaoInnovation Center of Yangtze River Delta, Zhejiang UniversityVerified email at zju.edu.cn
