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| A prediction strategy based on center points and knee points for evolutionary dynamic multi-objective optimization J Zou, Q Li, S Yang, H Bai, J Zheng Applied soft computing 61, 806-818, 2017 | 152 | 2017 |
| Novel prediction and memory strategies for dynamic multiobjective optimization Z Peng, J Zheng, J Zou, M Liu Soft Computing 19, 2633-2653, 2015 | 119 | 2015 |
| A predictive strategy based on special points for evolutionary dynamic multi-objective optimization Q Li, J Zou, S Yang, J Zheng, G Ruan Soft Computing 23, 3723-3739, 2019 | 86 | 2019 |
| Evolutionary dynamic multi-objective optimisation: A survey S Jiang, J Zou, S Yang, X Yao ACM Computing Surveys 55 (4), 1-47, 2022 | 82 | 2022 |
| A dual-population algorithm based on alternative evolution and degeneration for solving constrained multi-objective optimization problems J Zou, R Sun, S Yang, J Zheng Information Sciences 579, 89-102, 2021 | 68 | 2021 |
| Gap junction regulation by calmodulin J Zou, M Salarian, Y Chen, R Veenstra, CF Louis, JJ Yang FEBS letters 588 (8), 1430-1438, 2014 | 67 | 2014 |
| A fuzzy decision variables framework for large-scale multiobjective optimization X Yang, J Zou, S Yang, J Zheng, Y Liu IEEE Transactions on Evolutionary Computation 27 (3), 445-459, 2021 | 63 | 2021 |
| A close neighbor mobility method using particle swarm optimizer for solving multimodal optimization problems J Zou, Q Deng, J Zheng, S Yang Information Sciences 519, 332-347, 2020 | 61 | 2020 |
| A dynamic multiobjective evolutionary algorithm based on a dynamic evolutionary environment model J Zou, Q Li, S Yang, J Zheng, Z Peng, T Pei Swarm and evolutionary computation 44, 247-259, 2019 | 57 | 2019 |
| A preference-based multi-objective evolutionary algorithm using preference selection radius J Hu, G Yu, J Zheng, J Zou Soft Computing 21, 5025-5051, 2017 | 52 | 2017 |
| A knee-point-based evolutionary algorithm using weighted subpopulation for many-objective optimization J Zou, C Ji, S Yang, Y Zhang, J Zheng, K Li Swarm and Evolutionary Computation 47, 33-43, 2019 | 51 | 2019 |
| A population diversity maintaining strategy based on dynamic environment evolutionary model for dynamic multiobjective optimization Z Peng, J Zheng, J Zou 2014 IEEE Congress on Evolutionary Computation (CEC), 274-281, 2014 | 48 | 2014 |
| A prediction strategy based on decision variable analysis for dynamic multi-objective optimization J Zheng, Y Zhou, J Zou, S Yang, J Ou, Y Hu Swarm and Evolutionary Computation 60, 100786, 2021 | 47 | 2021 |
| Prostate-specific membrane antigen targeted protein contrast agents for molecular imaging of prostate cancer by MRI F Pu, M Salarian, S Xue, J Qiao, J Feng, S Tan, A Patel, X Li, K Mamouni, ... Nanoscale 8 (25), 12668-12682, 2016 | 46 | 2016 |
| On decomposition methods in interactive user-preference based optimization J Zheng, G Yu, Q Zhu, X Li, J Zou Applied Soft Computing 52, 952-973, 2017 | 43 | 2017 |
| A dynamic multi-objective evolutionary algorithm based on intensity of environmental change Y Hu, J Zheng, J Zou, S Yang, J Ou, R Wang Information Sciences 523, 49-62, 2020 | 42 | 2020 |
| A dynamic multi-objective particle swarm optimization algorithm based on adversarial decomposition and neighborhood evolution J Zheng, Z Zhang, J Zou, S Yang, J Ou, Y Hu Swarm and Evolutionary Computation 69, 100987, 2022 | 40 | 2022 |
| A multistage algorithm for solving multiobjective optimization problems with multiconstraints R Sun, J Zou, Y Liu, S Yang, J Zheng IEEE Transactions on Evolutionary Computation 27 (5), 1207-1219, 2022 | 38 | 2022 |
| A pareto-based evolutionary algorithm using decomposition and truncation for dynamic multi-objective optimization J Ou, J Zheng, G Ruan, Y Hu, J Zou, M Li, S Yang, X Tan Applied Soft Computing 85, 105673, 2019 | 33 | 2019 |
Shengxiang YangProfessor of Computational Intelligence, De Montfort University在 dmu.ac.uk 的电子邮件经过验证
