Publications: [1] Li X, Han X, Chen Z, et al. A multi-constraint failure-pursuing sampling method for reliability-based design optimization using adaptive Kriging. Engineering With Computers, 2022, 38: 297-310. [2] Li X, Zhu H, Chen Z, et al. Limit state Kriging modeling for reliability-based design optimization through classification uncertainty quantification. Reliability Engineering and System Safety, 2022, 224: 108539. [3] Ma J, Yin C, Li X, et al. Optimization of EDM process parameters based on variable-fidelity surrogate model. The International Journal of Advanced Manufacturing Technology, 2022, 122(3):2031-2041. [4] Li X, Yang Q, Wang Y, et al. Development of surrogate models in reliability-based design optimization: A review. Mathematical Biosciences and Engineering: MBE, 2021, 18: 6386-6409. [5] Li X, Xu F, Qiu H, et al. A moving shifting vector method for reliability-based design optimization using effectiveness checking of probabilistic constraint. International Journal of Industrial Engineering: Theory, Applications and Practice, 2019, 26(1): 34-47. [6] Li X, Du J, Chen Z, et al. Reliability-based NC milling parameters optimization using ensemble metamodel. The International Journal of Advanced Manufacturing Technology, 2018, 97(9-12): 3359-3369. [7] Li X, Qiu H, Jiang Z, et al. A VF-SLP framework using least squares hybrid scaling for RBDO. Structural and Multidisciplinary Optimization, 2017, 55(5): 1-12. [8] Li X, Qiu H, Chen Z, et al. A local Kriging approximation method using MPP for reliability-based design optimization. Computers and Structures, 2016, 162: 102-115. [9] Li X, Qiu H, Chen Z, et al. A local sampling method with variable radius for RBDO using Kriging. Engineering Computations, 2015, 32(7): 1908-1933. [10] Li X, Chen Z, Ming W, et al. An efficient moving optimal radial sampling method for reliability-based design optimization. International Journal of Performability Engineering, 2017, 13(6): 864-877. [11] Li X, Chen Z, Qiu H, et al. A Novel Reliability-Based Design Optimization Method Using Ensemble of Metamodels. International Conference on Mechanical Design. Springer, Singapore, 2017: 507-521. [12] Ma J, Yin C, Li X, et al. Optimization of EDM process parameters based on variable-fidelity surrogate model. The International Journal of Advanced Manufacturing Technology, 2022, 122(3-4): 2031-2041. |