| A kriging-assisted two-archive evolutionary algorithm for expensive many-objective optimization Z Song, H Wang, C He, Y Jin IEEE Transactions on Evolutionary Computation 25 (6), 1013-1027, 2021 | 192 | 2021 |
| A framework for expensive many-objective optimization with Pareto-based bi-indicator infill sampling criterion Z Song, H Wang, H Xu Memetic Computing 14 (2), 179-191, 2022 | 34 | 2022 |
| A brain storm optimization with multi-information interactions for global optimization problems C Li, Z Song, J Fan, Q Cheng, PX Liu Ieee Access 6, 19304-19323, 2018 | 32 | 2018 |
| A simple brain storm optimization algorithm with a periodic quantum learning strategy Z Song, J Peng, C Li, PX Liu Ieee Access 6, 19968-19983, 2017 | 29 | 2017 |
| Balancing objective optimization and constraint satisfaction in expensive constrained evolutionary multi-objective optimization Z Song, H Wang, B Xue, M Zhang, Y Jin IEEE Transactions on Evolutionary Computation, 2023 | 26 | 2023 |
| A surrogate-assisted evolutionary framework with regions of interests-based data selection for expensive constrained optimization Z Song, H Wang, Y Jin IEEE Transactions on Systems, Man, and Cybernetics: Systems 53 (10), 6268-6280, 2023 | 12 | 2023 |
| Balancing different optimization difficulty between objectives in multi-objective feature selection Z Song, H Wang, B Xue, M Zhang IEEE Transactions on Evolutionary Computation, 2023 | 5 | 2023 |
| Pareto-based bi-indicator infill sampling criterion for expensive multiobjective optimization Z Song, H Wang, H Xu International Conference on Evolutionary Multi-Criterion Optimization, 531-542, 2021 | 2 | 2021 |
| Steady-state brain storm optimization using double roulette selection Z Song, H Wang 2019 IEEE Symposium Series on Computational Intelligence (SSCI), 2319-2326, 2019 | 1 | 2019 |
