An efficient Kriging based method for time-dependent reliability based robust design optimization via evolutionary algorithm
From MaRDI portal
Publication:2020995
DOI10.1016/j.cma.2020.113386zbMath1506.74312OpenAlexW3081572661MaRDI QIDQ2020995
Yanwei Zhang, Zhonglai Wang, Tayyab Zafar
Publication date: 26 April 2021
Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.cma.2020.113386
robustnessmultiobjective optimizationevolutionary algorithmtransfer learningtime-dependent reliabilityreliability based robust design optimization
Related Items (10)
A decoupling approach for time-dependent robust optimization with application to power semiconductor devices ⋮ A novel hybrid adaptive kriging and water cycle algorithm for reliability-based design and optimization strategy: application in offshore wind turbine monopile ⋮ Optimum-pursuing method for constrained optimization and reliability-based design optimization problems using kriging model ⋮ PINN-FORM: a new physics-informed neural network for reliability analysis with partial differential equation ⋮ SS-MASVM: an advanced technique for assessing failure probability of high-dimensional complex systems using the multi-class adaptive support vector machine ⋮ A novel nested stochastic Kriging model for response noise quantification and reliability analysis ⋮ A stochastic process discretization method combing active learning Kriging model for efficient time-variant reliability analysis ⋮ On the use of probabilistic and non-probabilistic super parametric hybrid models for time-variant reliability analysis ⋮ Efficient structural reliability analysis based on adaptive Bayesian support vector regression ⋮ An envelope-function-based algorithm for time-dependent reliability analysis of structures with hybrid uncertainties
Uses Software
Cites Work
- Mercer theorem for RKHS on noncompact sets
- Efficient global optimization of expensive black-box functions
- Multi-scale robust design and optimization considering load uncertainties
- An adaptive multiple-kriging-surrogate method for time-dependent reliability analysis
- An efficient reliability method combining adaptive importance sampling and kriging metamodel
- The Stochastic Perturbation Method for Computational Mechanics
- Advanced Lectures on Machine Learning
- Mathematical Analysis of Random Noise
This page was built for publication: An efficient Kriging based method for time-dependent reliability based robust design optimization via evolutionary algorithm
