Publication result detail

Inverse Reliability-based Optimization

LEHKÝ, D.; SLOWIK, O.

Original Title

Inverse Reliability-based Optimization

English Title

Inverse Reliability-based Optimization

Type

Paper in proceedings (conference paper)

Original Abstract

A new inverse reliability-based optimization method is presented. It is aimed for solving inverse reliability problems with multiple solutions of optimal design parameters with respect to the target reliability constraints. The method is based on coupling of aimed multilevel sampling optimization method and artificial neural network-based inverse reliability method.

English abstract

A new inverse reliability-based optimization method is presented. It is aimed for solving inverse reliability problems with multiple solutions of optimal design parameters with respect to the target reliability constraints. The method is based on coupling of aimed multilevel sampling optimization method and artificial neural network-based inverse reliability method.

Keywords

Inverse reliability based optimization, small-sample simulation technique, modern structures

Key words in English

Inverse reliability based optimization, small-sample simulation technique, modern structures

Authors

LEHKÝ, D.; SLOWIK, O.

RIV year

2019

Released

01.07.2018

ISBN

978-0-7354-1690-1

Book

ICNAAM 2017

Pages from

1

Pages to

4

Pages count

4

BibTex

@inproceedings{BUT156413,
  author="David {Lehký} and Ondřej {Slowik}",
  title="Inverse Reliability-based Optimization",
  booktitle="ICNAAM 2017",
  year="2018",
  pages="1--4",
  doi="10.1063/1.5044086",
  isbn="978-0-7354-1690-1"
}