Generating $\alpha $-dense curves in non-convex sets to solve a class of non-smooth constrained global optimization

<p>This paper deals with the dimensionality reduction approach to study multi-dimensional constrained global optimization problems where the objective function is non-differentiable over a general compact set $D$ of $\mathbb{R}^{n}$ and H\"{o}lderian. The fundamental principle is to provi...

Full description

Bibliographic Details
Main Authors: Mohamed Rahal, Ziadi Abdelkader, Ellaia Rachid
Format: Article
Language:English
Published: Croatian Operational Research Society 2019-01-01
Series:Croatian Operational Research Review
Online Access:https://hrcak.srce.hr/file/334184
_version_ 1818258233781911552
author Mohamed Rahal
Ziadi Abdelkader
Ellaia Rachid
author_facet Mohamed Rahal
Ziadi Abdelkader
Ellaia Rachid
author_sort Mohamed Rahal
collection DOAJ
description <p>This paper deals with the dimensionality reduction approach to study multi-dimensional constrained global optimization problems where the objective function is non-differentiable over a general compact set $D$ of $\mathbb{R}^{n}$ and H\"{o}lderian. The fundamental principle is to provide explicitly a parametric representation $x_{i}=\ell _{i}(t),1\leq i\leq n$ of $\alpha $-dense curve $\ell_{\alpha }$ in the compact $D$, for $t$ in an interval $\mathbb{I}$ of $\mathbb{R}$, which allows to convert the initial problem to a one dimensional H\"{o}lder unconstrained one. Thus, we can solve the problem by using an efficient algorithm available in the case of functions depending on a single variable. A relation between the parameter $\alpha $ of the curve $\ell _{\alpha }$ and the accuracy of attaining the optimal solution is given. Some concrete $\alpha $ dense curves in a non-convex feasible region $D$ are constructed. The numerical results show that the proposed approach is efficient.</p>
first_indexed 2024-12-12T17:56:18Z
format Article
id doaj.art-ccc72f90b34d4de9b1def95f3a07a5f0
institution Directory Open Access Journal
issn 1848-0225
1848-9931
language English
last_indexed 2024-12-12T17:56:18Z
publishDate 2019-01-01
publisher Croatian Operational Research Society
record_format Article
series Croatian Operational Research Review
spelling doaj.art-ccc72f90b34d4de9b1def95f3a07a5f02022-12-22T00:16:43ZengCroatian Operational Research SocietyCroatian Operational Research Review1848-02251848-99312019-01-0110228931410.17535/crorr.2019.0024229888Generating $\alpha $-dense curves in non-convex sets to solve a class of non-smooth constrained global optimizationMohamed Rahal0Ziadi Abdelkader1Ellaia Rachid2Department of Mathematics, Ferhat Abbas Setif 1, University of SetifDepartment of Mathematics, Ferhat Abbas Setif 1, University of SetifLaboratory of Study and Research for Applied Mathematics, Mohammadia School of Engineers<p>This paper deals with the dimensionality reduction approach to study multi-dimensional constrained global optimization problems where the objective function is non-differentiable over a general compact set $D$ of $\mathbb{R}^{n}$ and H\"{o}lderian. The fundamental principle is to provide explicitly a parametric representation $x_{i}=\ell _{i}(t),1\leq i\leq n$ of $\alpha $-dense curve $\ell_{\alpha }$ in the compact $D$, for $t$ in an interval $\mathbb{I}$ of $\mathbb{R}$, which allows to convert the initial problem to a one dimensional H\"{o}lder unconstrained one. Thus, we can solve the problem by using an efficient algorithm available in the case of functions depending on a single variable. A relation between the parameter $\alpha $ of the curve $\ell _{\alpha }$ and the accuracy of attaining the optimal solution is given. Some concrete $\alpha $ dense curves in a non-convex feasible region $D$ are constructed. The numerical results show that the proposed approach is efficient.</p>https://hrcak.srce.hr/file/334184
spellingShingle Mohamed Rahal
Ziadi Abdelkader
Ellaia Rachid
Generating $\alpha $-dense curves in non-convex sets to solve a class of non-smooth constrained global optimization
Croatian Operational Research Review
title Generating $\alpha $-dense curves in non-convex sets to solve a class of non-smooth constrained global optimization
title_full Generating $\alpha $-dense curves in non-convex sets to solve a class of non-smooth constrained global optimization
title_fullStr Generating $\alpha $-dense curves in non-convex sets to solve a class of non-smooth constrained global optimization
title_full_unstemmed Generating $\alpha $-dense curves in non-convex sets to solve a class of non-smooth constrained global optimization
title_short Generating $\alpha $-dense curves in non-convex sets to solve a class of non-smooth constrained global optimization
title_sort generating alpha dense curves in non convex sets to solve a class of non smooth constrained global optimization
url https://hrcak.srce.hr/file/334184
work_keys_str_mv AT mohamedrahal generatingalphadensecurvesinnonconvexsetstosolveaclassofnonsmoothconstrainedglobaloptimization
AT ziadiabdelkader generatingalphadensecurvesinnonconvexsetstosolveaclassofnonsmoothconstrainedglobaloptimization
AT ellaiarachid generatingalphadensecurvesinnonconvexsetstosolveaclassofnonsmoothconstrainedglobaloptimization