| A vector angle-based evolutionary algorithm for unconstrained many-objective optimization Y Xiang, Y Zhou, M Li, Z Chen IEEE Transactions on Evolutionary Computation 21 (1), 131-152, 2017 | 393 | 2017 |
| Tri-goal evolution framework for constrained many-objective optimization Y Zhou, M Zhu, J Wang, Z Zhang, Y Xiang, J Zhang IEEE Transactions on Systems, Man, and Cybernetics: Systems 50 (8), 3086-3099, 2018 | 121 | 2018 |
| Configuring software product lines by combining many-objective optimization and SAT solvers Y Xiang, Y Zhou, Z Zheng, M Li ACM Transactions on Software Engineering and Methodology (TOSEM) 26 (4), 1-46, 2018 | 86 | 2018 |
| An elitism based multi-objective artificial bee colony algorithm Y Xiang, Y Zhou, H Liu European Journal of Operational Research 245 (1), 168-193, 2015 | 86 | 2015 |
| A many-objective evolutionary algorithm with Pareto-adaptive reference points Y Xiang, Y Zhou, X Yang, H Huang IEEE Transactions on Evolutionary Computation 24 (1), 99-113, 2020 | 84 | 2020 |
| A scalar projection and angle-based evolutionary algorithm for many-objective optimization problems Y Zhou, Y Xiang, Z Chen, J He, J Wang IEEE Transactions on Cybernetics 49 (6), 2073-2084, 2018 | 69 | 2018 |
| A particle swarm inspired multi-elitist artificial bee colony algorithm for real-parameter optimization Y Xiang, Y Peng, Y Zhong, Z Chen, X Lu, X Zhong Computational Optimization and Applications 57 (2), 493-516, 2014 | 64 | 2014 |
| A dynamic multi-colony artificial bee colony algorithm for multi-objective optimization Y Xiang, Y Zhou Applied soft computing 35, 766-785, 2015 | 51 | 2015 |
| Constrained multiobjective optimization: Test problem construction and performance evaluations Y Zhou, Y Xiang, X He IEEE Transactions on Evolutionary Computation 25 (1), 172-186, 2021 | 46 | 2021 |
| Balancing constraints and objectives by considering problem types in constrained multiobjective optimization Y Xiang, X Yang, H Huang, J Wang IEEE Transactions on Cybernetics 53 (1), 88-101, 2023 | 42 | 2023 |
| Enhancing decomposition-based algorithms by estimation of distribution for constrained optimal software product selection Y Xiang, X Yang, Y Zhou, H Huang IEEE Transactions on Evolutionary Computation 24 (2), 245-259, 2020 | 42 | 2020 |
| A decomposition-based many-objective artificial bee colony algorithm Y Xiang, Y Zhou, L Tang, Z Chen IEEE Transactions on Cybernetics 49 (1), 287-300, 2017 | 40 | 2017 |
| A multi-objective artificial bee colony algorithm based on division of the searching space YB Zhong, Y Xiang, HL Liu Applied Intelligence 41 (4), 987-1011, 2014 | 31 | 2014 |
| A many-objective particle swarm optimizer with leaders selected from historical solutions by using scalar projections Y Xiang, Y Zhou, Z Chen, J Zhang IEEE transactions on cybernetics 50 (5), 2209-2222, 2018 | 30 | 2018 |
| An angle based constrained many-objective evolutionary algorithm Y Xiang, J Peng, Y Zhou, M Li, Z Chen Applied Intelligence, pp 1–16, 2017 | 27 | 2017 |
| A multiobjective evolutionary algorithm based on objective-space localization selection Y Zhou, Z Chen, Z Huang, Y Xiang IEEE Transactions on Cybernetics 52 (5), 3888-3901, 2020 | 18 | 2020 |
| A many-objective evolutionary algorithm based on a projection-assisted intra-family election Z Chen, Y Zhou, Y Xiang Applied Soft Computing 61, 394-411, 2017 | 18 | 2017 |
| A historical solutions based evolution operator for decomposition-based many-objective optimization Z Chen, Y Zhou, X Zhao, Y Xiang, J Wang Swarm and evolutionary computation 41, 167-189, 2018 | 14 | 2018 |
| Going deeper with optimal software products selection using many-objective optimization and satisfiability solvers Y Xiang, X Yang, Y Zhou, Z Zheng, M Li, H Huang Empirical Software Engineering 25, 591-626, 2020 | 13 | 2020 |
| Looking for novelty in search-based software product line testing Y Xiang, H Huang, M Li, S Li, X Yang IEEE Transactions on Software Engineering 48 (7), 2317-2338, 2022 | 12 | 2022 |
Zefeng Chen (陈泽丰)School of Artificial Intelligence, Sun Yat-sen University在 mail2.sysu.edu.cn 的电子邮件经过验证
