SZodixStudyAcademic Library

Shelves Open access

Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

Adaptive importance sampling for optimization under uncertainty problems · Study

ArticleShelves

ArticleAdaptive importance sampling for optimization under uncertainty problems

Juan Camilo Medina2014

Article2014

Adaptive importance sampling for optimization under uncertainty problems

Juan Camilo Medina · Alexandros A. Taflanidis

30 citations·0/0 files stored·Computer Methods in Applied Mechanics and Engineering

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Probabilistic and Robust Engineering Design Simulation Techniques and Applications Advanced Multi-Objective Optimization Algorithms

Abstract

No abstract was published for this record.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 30 citations exist upstream.

References

2017Structural Reliability Analysis and Prediction 2010Stochastic Programming 2003Stochastic Approximation and Recursive Algorithms and Applications 2007Robust optimization – A comprehensive survey 1998Implementation of the simultaneous perturbation algorithm for stochastic optimization 1989Importance sampling in structural systems 2008Computational methods in optimization considering uncertainties – An overview 1999A new adaptive importance sampling scheme for reliability calculations

Cited by

2015A New Adaptive Rejection Sampling Method Using Kernel Density Approximations and Its Application to Subset Simulation 2019A scenario optimization approach to reliability-based design 2016Efficient Evaluation of Sobol’ Indices Utilizing Samples from an Auxiliary Probability Density Function 2021A Bayesian approach for quantile optimization problems with high-dimensional uncertainty sources 2021Soft-constrained interval predictor models and epistemic reliability intervals: A new tool for uncertainty quantification with limited experimental data

Related works

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

2015Non-parametric stochastic subset optimization for design problems with reliability constraintsarticle · 10 shared references 2015Non-parametric stochastic subset optimization utilizing multivariate boundary kernels and adaptive stochastic samplingarticle · 10 shared references 2009Stochastic Subset Optimization for reliability optimization and sensitivity analysis in system designarticle · 8 shared references 2012Global structural optimization considering expected consequences of failure and using ANN surrogatesarticle · 8 shared references 2016On the consideration of uncertainty in design: optimization - reliability - robustnessarticle · 8 shared references 2011Stochastic subset optimization incorporating moving least squares response surface methodologies for stochastic samplingarticle · 8 shared references

Details

Year2014

Typearticle

Published2014-06-23

VenueComputer Methods in Applied Mechanics and Engineering

ISSN-L0045-7825

Languageen

Citations30

Files0 public / 0

ShelfProbabilistic and Robust Engineering Design

Identifiers

doi10.1016/j.cma.2014.06.025

openalex_workW1967593009

Links

Imported from OpenAlex (CC0) — nothing here is generated.

2018A multiple-design-point approach for reliability-based design optimization

2015Non-parametric stochastic subset optimization utilizing multivariate boundary kernels and adaptive stochastic sampling