An efficient Kriging based method for time-dependent reliability based robust design optimization via evolutionary algorithm
type: Item
instance of: scholarly article
title: An efficient Kriging based method for time-dependent reliability based robust design optimization via evolutionary algorithm
zbMATH Open document ID: 1506.74312
author: Tayyab Zafar
author: Yanwei Zhang
author: Zhonglai Wang
published in: Computer Methods in Applied Mechanics and Engineering
publication date: 2021-04-26T00:00:00Z
Mathematics Subject Classification ID: 74P15
zbMATH DE Number: 7337882
zbMATH Keywords: reliability based robust design optimization
zbMATH Keywords: time-dependent reliability
zbMATH Keywords: robustness
zbMATH Keywords: multiobjective optimization
zbMATH Keywords: evolutionary algorithm
zbMATH Keywords: transfer learning
describes a project that uses: AK-MCS
describes a project that uses: DACE
describes a project that uses: EGO
MaRDI profile type: Publication
full work available at URL: j.cma.2020.113386
OpenAlex ID: W3081572661
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cites work: An adaptive multiple-kriging-surrogate method for time-dependent reliability analysis
cites work: Advanced Lectures on Machine Learning
cites work: Mercer theorem for RKHS on noncompact sets
DOI: 10.1016/J.CMA.2020.113386
description: scientific article; zbMATH DE number 7337882