Global Convergence of a New Nonmonotone Filter Method for Equality Constrained Optimization

A new nonmonotone filter trust region method is introduced for solving optimization problems with equality constraints. This method directly uses the dominated area of the filter as an acceptability criterion for trial points and allows the dominated area decreasing nonmonotonically. Compared with t...

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Main Authors: Ke Su, Wei Liu, Xiaoli Lu
Format: Article
Language:English
Published: Wiley 2013-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2013/976509
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author Ke Su
Wei Liu
Xiaoli Lu
author_facet Ke Su
Wei Liu
Xiaoli Lu
author_sort Ke Su
collection DOAJ
description A new nonmonotone filter trust region method is introduced for solving optimization problems with equality constraints. This method directly uses the dominated area of the filter as an acceptability criterion for trial points and allows the dominated area decreasing nonmonotonically. Compared with the filter-type method, our method has more flexible criteria and can avoid Maratos effect in a certain degree. Under reasonable assumptions, we prove that the given algorithm is globally convergent to a first order stationary point for all possible choices of the starting point. Numerical tests are presented to show the effectiveness of the proposed algorithm.
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institution Kabale University
issn 1110-757X
1687-0042
language English
publishDate 2013-01-01
publisher Wiley
record_format Article
series Journal of Applied Mathematics
spelling doaj-art-a9d61bb65a104a35aa5ab1c76ec1ad5b2025-02-03T01:06:55ZengWileyJournal of Applied Mathematics1110-757X1687-00422013-01-01201310.1155/2013/976509976509Global Convergence of a New Nonmonotone Filter Method for Equality Constrained OptimizationKe Su0Wei Liu1Xiaoli Lu2College of Mathematics and Computer Science, Hebei University, Baoding 071002, ChinaCollege of Mathematics and Computer Science, Hebei University, Baoding 071002, ChinaCollege of Mathematics and Computer Science, Hebei University, Baoding 071002, ChinaA new nonmonotone filter trust region method is introduced for solving optimization problems with equality constraints. This method directly uses the dominated area of the filter as an acceptability criterion for trial points and allows the dominated area decreasing nonmonotonically. Compared with the filter-type method, our method has more flexible criteria and can avoid Maratos effect in a certain degree. Under reasonable assumptions, we prove that the given algorithm is globally convergent to a first order stationary point for all possible choices of the starting point. Numerical tests are presented to show the effectiveness of the proposed algorithm.http://dx.doi.org/10.1155/2013/976509
spellingShingle Ke Su
Wei Liu
Xiaoli Lu
Global Convergence of a New Nonmonotone Filter Method for Equality Constrained Optimization
Journal of Applied Mathematics
title Global Convergence of a New Nonmonotone Filter Method for Equality Constrained Optimization
title_full Global Convergence of a New Nonmonotone Filter Method for Equality Constrained Optimization
title_fullStr Global Convergence of a New Nonmonotone Filter Method for Equality Constrained Optimization
title_full_unstemmed Global Convergence of a New Nonmonotone Filter Method for Equality Constrained Optimization
title_short Global Convergence of a New Nonmonotone Filter Method for Equality Constrained Optimization
title_sort global convergence of a new nonmonotone filter method for equality constrained optimization
url http://dx.doi.org/10.1155/2013/976509
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AT weiliu globalconvergenceofanewnonmonotonefiltermethodforequalityconstrainedoptimization
AT xiaolilu globalconvergenceofanewnonmonotonefiltermethodforequalityconstrainedoptimization