Transformation to a fixed domain in LP modelling for a class of optimal shape design problems
A class of optimal shape design problems is studied in this paper. The boundary shape of a domain is determined such that the solution of the underlying partial differential equation matches, as well as possible, a given desired state. In the original optimal shape design problem, the variable domai...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
Ferdowsi University of Mashhad
2019-03-01
|
Series: | Iranian Journal of Numerical Analysis and Optimization |
Subjects: | |
Online Access: | https://ijnao.um.ac.ir/article_24736_778b8f32dcb1d6def0bc85c6d947f67f.pdf |
id |
doaj-3da51853e85e4beabca1a459417ee39a |
---|---|
record_format |
Article |
spelling |
doaj-3da51853e85e4beabca1a459417ee39a2021-02-17T10:41:35ZengFerdowsi University of MashhadIranian Journal of Numerical Analysis and Optimization2423-69772423-69692019-03-019111610.22067/ijnao.v9i1.5391024736Transformation to a fixed domain in LP modelling for a class of optimal shape design problemsH. Hashemi Mehne0M. H. Farahi1Aerospace Research Institute, Tehran,Ferdowsi University of Mashhad, Mashhad, Iran.A class of optimal shape design problems is studied in this paper. The boundary shape of a domain is determined such that the solution of the underlying partial differential equation matches, as well as possible, a given desired state. In the original optimal shape design problem, the variable domain is parameterized by a class of functions in such a way that the optimal design problem is changed to an optimal control problem on a fixed domain. Then, the resulting distributed control problem is embedded in a measure theoretical form, in fact, an infinite-dimensional linear programming problem. The optimal measure representing the optimal shape is approximated by a solution of a finite-dimensional linear programming problem. The method is evaluated via a numerical example.https://ijnao.um.ac.ir/article_24736_778b8f32dcb1d6def0bc85c6d947f67f.pdfapproximationoptimal shape designlinear programmingmeasure theory |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
H. Hashemi Mehne M. H. Farahi |
spellingShingle |
H. Hashemi Mehne M. H. Farahi Transformation to a fixed domain in LP modelling for a class of optimal shape design problems Iranian Journal of Numerical Analysis and Optimization approximation optimal shape design linear programming measure theory |
author_facet |
H. Hashemi Mehne M. H. Farahi |
author_sort |
H. Hashemi Mehne |
title |
Transformation to a fixed domain in LP modelling for a class of optimal shape design problems |
title_short |
Transformation to a fixed domain in LP modelling for a class of optimal shape design problems |
title_full |
Transformation to a fixed domain in LP modelling for a class of optimal shape design problems |
title_fullStr |
Transformation to a fixed domain in LP modelling for a class of optimal shape design problems |
title_full_unstemmed |
Transformation to a fixed domain in LP modelling for a class of optimal shape design problems |
title_sort |
transformation to a fixed domain in lp modelling for a class of optimal shape design problems |
publisher |
Ferdowsi University of Mashhad |
series |
Iranian Journal of Numerical Analysis and Optimization |
issn |
2423-6977 2423-6969 |
publishDate |
2019-03-01 |
description |
A class of optimal shape design problems is studied in this paper. The boundary shape of a domain is determined such that the solution of the underlying partial differential equation matches, as well as possible, a given desired state. In the original optimal shape design problem, the variable domain is parameterized by a class of functions in such a way that the optimal design problem is changed to an optimal control problem on a fixed domain. Then, the resulting distributed control problem is embedded in a measure theoretical form, in fact, an infinite-dimensional linear programming problem. The optimal measure representing the optimal shape is approximated by a solution of a finite-dimensional linear programming problem. The method is evaluated via a numerical example. |
topic |
approximation optimal shape design linear programming measure theory |
url |
https://ijnao.um.ac.ir/article_24736_778b8f32dcb1d6def0bc85c6d947f67f.pdf |
work_keys_str_mv |
AT hhashemimehne transformationtoafixeddomaininlpmodellingforaclassofoptimalshapedesignproblems AT mhfarahi transformationtoafixeddomaininlpmodellingforaclassofoptimalshapedesignproblems |
_version_ |
1724265324730122240 |