关注
Changting Zhong
Changting Zhong
Hainan University
在 hainanu.edu.cn 的电子邮件经过验证
标题
引用次数
引用次数
年份
Beluga whale optimization: A novel nature-inspired metaheuristic algorithm
C Zhong, G Li, Z Meng
Knowledge-Based Systems 251, 109215, 2022
2852022
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
402020
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
342023
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
292020
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
282023
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
282023
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
222022
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
172022
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
132023
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
82022
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
62023
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
12022
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
系统目前无法执行此操作,请稍后再试。
文章 1–13