A modification of the αBB method for box-constrained optimization and an application to inverse kinematics

For many practical applications it is important to determine not only a numerical approximation of one but a representation of the whole set of globally optimal solutions of a non-convex optimization problem. Then one element of this representation may be chosen based on additional information which...

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Autores principales: Gabriele Eichfelder, Tobias Gerlach, Susanne Sumi
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Lenguaje:EN
Publicado: Elsevier 2016
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spelling oai:doaj.org-article:dfdc2452d7354f9083c06681c39111ce2021-12-02T05:00:49ZA modification of the αBB method for box-constrained optimization and an application to inverse kinematics2192-440610.1007/s13675-015-0056-5https://doaj.org/article/dfdc2452d7354f9083c06681c39111ce2016-02-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2192440621000563https://doaj.org/toc/2192-4406For many practical applications it is important to determine not only a numerical approximation of one but a representation of the whole set of globally optimal solutions of a non-convex optimization problem. Then one element of this representation may be chosen based on additional information which cannot be formulated as a mathematical function or within a hierarchical problem formulation. We present such an application in the field of robotic design. This application problem can be modeled as a smooth box-constrained optimization problem. We extend the well-known αBB method such that it can be used to find an approximation of the set of globally optimal solutions with a predefined quality. We illustrate the properties and give a proof for the finiteness and correctness of our modified αBB method.Gabriele EichfelderTobias GerlachSusanne SumiElsevierarticle90C2690C3090C90Applied mathematics. Quantitative methodsT57-57.97Electronic computers. Computer scienceQA75.5-76.95ENEURO Journal on Computational Optimization, Vol 4, Iss 1, Pp 93-121 (2016)
institution DOAJ
collection DOAJ
language EN
topic 90C26
90C30
90C90
Applied mathematics. Quantitative methods
T57-57.97
Electronic computers. Computer science
QA75.5-76.95
spellingShingle 90C26
90C30
90C90
Applied mathematics. Quantitative methods
T57-57.97
Electronic computers. Computer science
QA75.5-76.95
Gabriele Eichfelder
Tobias Gerlach
Susanne Sumi
A modification of the αBB method for box-constrained optimization and an application to inverse kinematics
description For many practical applications it is important to determine not only a numerical approximation of one but a representation of the whole set of globally optimal solutions of a non-convex optimization problem. Then one element of this representation may be chosen based on additional information which cannot be formulated as a mathematical function or within a hierarchical problem formulation. We present such an application in the field of robotic design. This application problem can be modeled as a smooth box-constrained optimization problem. We extend the well-known αBB method such that it can be used to find an approximation of the set of globally optimal solutions with a predefined quality. We illustrate the properties and give a proof for the finiteness and correctness of our modified αBB method.
format article
author Gabriele Eichfelder
Tobias Gerlach
Susanne Sumi
author_facet Gabriele Eichfelder
Tobias Gerlach
Susanne Sumi
author_sort Gabriele Eichfelder
title A modification of the αBB method for box-constrained optimization and an application to inverse kinematics
title_short A modification of the αBB method for box-constrained optimization and an application to inverse kinematics
title_full A modification of the αBB method for box-constrained optimization and an application to inverse kinematics
title_fullStr A modification of the αBB method for box-constrained optimization and an application to inverse kinematics
title_full_unstemmed A modification of the αBB method for box-constrained optimization and an application to inverse kinematics
title_sort modification of the αbb method for box-constrained optimization and an application to inverse kinematics
publisher Elsevier
publishDate 2016
url https://doaj.org/article/dfdc2452d7354f9083c06681c39111ce
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