Improved Lipschitz bounds with the first norm for function values over multidimensional simplex

A branch and bound algorithm for global optimization is proposed, where the maximum of an upper bounding function based on Lipschitz condition and the first norm over a simplex is used as the upper bound of function. In this case the graph of bounding function is intersection of n‐dimensional pyrami...

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Main Authors: Remigijus Paulavičius, Julius Žilinskas
Format: Article
Language:English
Published: Vilnius Gediminas Technical University 2008-12-01
Series:Mathematical Modelling and Analysis
Subjects:
Online Access:https://journals.vgtu.lt/index.php/MMA/article/view/7045
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author Remigijus Paulavičius
Julius Žilinskas
author_facet Remigijus Paulavičius
Julius Žilinskas
author_sort Remigijus Paulavičius
collection DOAJ
description A branch and bound algorithm for global optimization is proposed, where the maximum of an upper bounding function based on Lipschitz condition and the first norm over a simplex is used as the upper bound of function. In this case the graph of bounding function is intersection of n‐dimensional pyramids and its maximum point is found solving a system of linear equations. The efficiency of the proposed global optimization algorithm is evaluated experimentally. First Published Online: 14 Oct 2010
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spelling doaj.art-f96d216ce713463ea5e510635db42a962022-12-21T17:50:56ZengVilnius Gediminas Technical UniversityMathematical Modelling and Analysis1392-62921648-35102008-12-0113410.3846/1392-6292.2008.13.553-563Improved Lipschitz bounds with the first norm for function values over multidimensional simplexRemigijus Paulavičius0Julius Žilinskas1Institute of Mathematics and Informatics, Akademijos 4, LT-08663, Vilnius, LithuaniaInstitute of Mathematics and Informatics, Akademijos 4, LT-08663, Vilnius, LithuaniaA branch and bound algorithm for global optimization is proposed, where the maximum of an upper bounding function based on Lipschitz condition and the first norm over a simplex is used as the upper bound of function. In this case the graph of bounding function is intersection of n‐dimensional pyramids and its maximum point is found solving a system of linear equations. The efficiency of the proposed global optimization algorithm is evaluated experimentally. First Published Online: 14 Oct 2010https://journals.vgtu.lt/index.php/MMA/article/view/7045global optimizationbranch and bound algorithmsLipschitz optimizationthe first norm
spellingShingle Remigijus Paulavičius
Julius Žilinskas
Improved Lipschitz bounds with the first norm for function values over multidimensional simplex
Mathematical Modelling and Analysis
global optimization
branch and bound algorithms
Lipschitz optimization
the first norm
title Improved Lipschitz bounds with the first norm for function values over multidimensional simplex
title_full Improved Lipschitz bounds with the first norm for function values over multidimensional simplex
title_fullStr Improved Lipschitz bounds with the first norm for function values over multidimensional simplex
title_full_unstemmed Improved Lipschitz bounds with the first norm for function values over multidimensional simplex
title_short Improved Lipschitz bounds with the first norm for function values over multidimensional simplex
title_sort improved lipschitz bounds with the first norm for function values over multidimensional simplex
topic global optimization
branch and bound algorithms
Lipschitz optimization
the first norm
url https://journals.vgtu.lt/index.php/MMA/article/view/7045
work_keys_str_mv AT remigijuspaulavicius improvedlipschitzboundswiththefirstnormforfunctionvaluesovermultidimensionalsimplex
AT juliuszilinskas improvedlipschitzboundswiththefirstnormforfunctionvaluesovermultidimensionalsimplex