| Beluga whale optimization: A novel nature-inspired metaheuristic algorithm C Zhong, G Li, Z Meng Knowledge-Based Systems 251, 109215, 2022 | 285 | 2022 |
| First-order reliability method based on Harris Hawks Optimization for high-dimensional reliability analysis C Zhong, M Wang, C Dang, W Ke, S Guo Structural and Multidisciplinary Optimization 62 (4), 1951-1968, 2020 | 40 | 2020 |
| Application of state-of-the-art multiobjective metaheuristic algorithms in reliability-based design optimization: a comparative study Z Meng, BS Yıldız, G Li, C Zhong, S Mirjalili, AR Yildiz Structural and Multidisciplinary Optimization 66 (8), 191, 2023 | 34 | 2023 |
| Structural reliability assessment by salp swarm algorithm–based FORM C Zhong, M Wang, C Dang, W Ke Quality and Reliability Engineering International 36 (4), 1224-1244, 2020 | 29 | 2020 |
| Opposition-based learning equilibrium optimizer with Levy flight and evolutionary population dynamics for high-dimensional global optimization problems C Zhong, G Li, Z Meng, W He Expert Systems with Applications 215, 119303, 2023 | 28 | 2023 |
| A self-adaptive quantum equilibrium optimizer with artificial bee colony for feature selection C Zhong, G Li, Z Meng, H Li, W He Computers in Biology and Medicine 153, 106520, 2023 | 28 | 2023 |
| Comprehensive learning Harris hawks-equilibrium optimization with terminal replacement mechanism for constrained optimization problems C Zhong, G Li Expert Systems with Applications 192, 116432, 2022 | 22 | 2022 |
| A hybrid teaching–learning slime mould algorithm for global optimization and reliability-based design optimization problems C Zhong, G Li, Z Meng Neural Computing and Applications 34, 16617-16642, 2022 | 17 | 2022 |
| Multi-objective SHADE with manta ray foraging optimizer for structural design problems C Zhong, G Li, Z Meng, H Li, W He Applied Soft Computing 134, 110016, 2023 | 13 | 2023 |
| Analytical robust design optimization based on a hybrid surrogate model by combining polynomial chaos expansion and Gaussian kernel Y Liu, G Zhao, G Li, W He, C Zhong Structural and Multidisciplinary Optimization 65, 335, 2022 | 8 | 2022 |
| A novel data-driven sparse polynomial chaos expansion for high-dimensional problems based on active subspace and sparse Bayesian learning W He, G Li, C Zhong, Y Wang Structural and Multidisciplinary Optimization 66, 29, 2023 | 6 | 2023 |
| Correction to: A hybrid teaching–learning slime mould algorithm for global optimization and reliability-based design optimization problems C Zhong, G Li, Z Meng Neural Computing & Applications 34 (23), 21417-21418, 2022 | 1 | 2022 |
| An adaptive data-driven subspace polynomial dimensional decomposition for high-dimensional uncertainty quantification based on maximum entropy method and sparse Bayesian learning W He, G Li, Y Zeng, Y Wang, C Zhong Structural Safety 108, 102450, 2024 | | 2024 |
