Fletcher reeves like cg formula approach on broyden family update

The Broyden family update in quasi-Newton method is known as one of the most efficient update method in solving unconstrained optimization. However, by using the standard search direction, sometimes the algorithm may lead to the failure for some complicated problems and this scenario worsen when the...

Full description

Saved in:
Bibliographic Details
Main Authors: Mustafa, Mamat, Sofi, A.Z.M., Mohd, I., Ibrahim, M.A.H
Format: Conference or Workshop Item
Language:English
Published: 2014
Subjects:
Online Access:http://eprints.unisza.edu.my/364/1/FH03-FIK-15-02452.jpg
http://eprints.unisza.edu.my/364/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my-unisza-ir.364
record_format eprints
spelling my-unisza-ir.3642020-10-21T07:13:56Z http://eprints.unisza.edu.my/364/ Fletcher reeves like cg formula approach on broyden family update Mustafa, Mamat Sofi, A.Z.M. Mohd, I. Ibrahim, M.A.H QA75 Electronic computers. Computer science T Technology (General) The Broyden family update in quasi-Newton method is known as one of the most efficient update method in solving unconstrained optimization. However, by using the standard search direction, sometimes the algorithm may lead to the failure for some complicated problems and this scenario worsen when the cases of the initial points selected are far away from the minimizer. To overcome this scenario, we proposed a new search direction by using the Fletcher Reeves formula in the conjugate gradient method to be fit with the new search direction. We proved that this new search direction globally converge and positively affect the Broyden family update in quasi-Newton method. 2014 Conference or Workshop Item NonPeerReviewed image en http://eprints.unisza.edu.my/364/1/FH03-FIK-15-02452.jpg Mustafa, Mamat and Sofi, A.Z.M. and Mohd, I. and Ibrahim, M.A.H (2014) Fletcher reeves like cg formula approach on broyden family update. In: 3rd ICMS 2013, 17-19 December 2013, Kuala Lumpur, Malaysia.
institution Universiti Sultan Zainal Abidin
building UNISZA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sultan Zainal Abidin
content_source UNISZA Institutional Repository
url_provider https://eprints.unisza.edu.my/
language English
topic QA75 Electronic computers. Computer science
T Technology (General)
spellingShingle QA75 Electronic computers. Computer science
T Technology (General)
Mustafa, Mamat
Sofi, A.Z.M.
Mohd, I.
Ibrahim, M.A.H
Fletcher reeves like cg formula approach on broyden family update
description The Broyden family update in quasi-Newton method is known as one of the most efficient update method in solving unconstrained optimization. However, by using the standard search direction, sometimes the algorithm may lead to the failure for some complicated problems and this scenario worsen when the cases of the initial points selected are far away from the minimizer. To overcome this scenario, we proposed a new search direction by using the Fletcher Reeves formula in the conjugate gradient method to be fit with the new search direction. We proved that this new search direction globally converge and positively affect the Broyden family update in quasi-Newton method.
format Conference or Workshop Item
author Mustafa, Mamat
Sofi, A.Z.M.
Mohd, I.
Ibrahim, M.A.H
author_facet Mustafa, Mamat
Sofi, A.Z.M.
Mohd, I.
Ibrahim, M.A.H
author_sort Mustafa, Mamat
title Fletcher reeves like cg formula approach on broyden family update
title_short Fletcher reeves like cg formula approach on broyden family update
title_full Fletcher reeves like cg formula approach on broyden family update
title_fullStr Fletcher reeves like cg formula approach on broyden family update
title_full_unstemmed Fletcher reeves like cg formula approach on broyden family update
title_sort fletcher reeves like cg formula approach on broyden family update
publishDate 2014
url http://eprints.unisza.edu.my/364/1/FH03-FIK-15-02452.jpg
http://eprints.unisza.edu.my/364/
_version_ 1681493223731625984
score 13.211869