A Hybrid of Quasi-Newton Method with CG Method for Unconstrained Optimization
The quasi-Newton is a well-known method for solving small to medium-scale unconstrained optimization problems due to its simplicity and convergence. This leads to many modifications to improve its performance, and one of them is by hybridizing it with another optimization method. In this study, the...
| Published in: | Journal of Physics: Conference Series |
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| Format: | Conference paper |
| Language: | English |
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Institute of Physics Publishing
2019
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85076084992&doi=10.1088%2f1742-6596%2f1366%2f1%2f012079&partnerID=40&md5=46ff12abe74da0f1ed986b0e5704ea6a |
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2-s2.0-85076084992 Aini N.; Mamat M.; Rivaie M.; Sulaiman I.M. A Hybrid of Quasi-Newton Method with CG Method for Unconstrained Optimization 2019 Journal of Physics: Conference Series 1366 1 10.1088/1742-6596/1366/1/012079 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85076084992&doi=10.1088%2f1742-6596%2f1366%2f1%2f012079&partnerID=40&md5=46ff12abe74da0f1ed986b0e5704ea6a The quasi-Newton is a well-known method for solving small to medium-scale unconstrained optimization problems due to its simplicity and convergence. This leads to many modifications to improve its performance, and one of them is by hybridizing it with another optimization method. In this study, the quasi-Newton method is combined with the ARM method, which is a type of conjugate gradient method. The resulting hybrid algorithm is globally convergent under exact line search. © Published under licence by IOP Publishing Ltd. Institute of Physics Publishing 17426588 English Conference paper All Open Access; Gold Open Access |
| author |
Aini N.; Mamat M.; Rivaie M.; Sulaiman I.M. |
| spellingShingle |
Aini N.; Mamat M.; Rivaie M.; Sulaiman I.M. A Hybrid of Quasi-Newton Method with CG Method for Unconstrained Optimization |
| author_facet |
Aini N.; Mamat M.; Rivaie M.; Sulaiman I.M. |
| author_sort |
Aini N.; Mamat M.; Rivaie M.; Sulaiman I.M. |
| title |
A Hybrid of Quasi-Newton Method with CG Method for Unconstrained Optimization |
| title_short |
A Hybrid of Quasi-Newton Method with CG Method for Unconstrained Optimization |
| title_full |
A Hybrid of Quasi-Newton Method with CG Method for Unconstrained Optimization |
| title_fullStr |
A Hybrid of Quasi-Newton Method with CG Method for Unconstrained Optimization |
| title_full_unstemmed |
A Hybrid of Quasi-Newton Method with CG Method for Unconstrained Optimization |
| title_sort |
A Hybrid of Quasi-Newton Method with CG Method for Unconstrained Optimization |
| publishDate |
2019 |
| container_title |
Journal of Physics: Conference Series |
| container_volume |
1366 |
| container_issue |
1 |
| doi_str_mv |
10.1088/1742-6596/1366/1/012079 |
| url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85076084992&doi=10.1088%2f1742-6596%2f1366%2f1%2f012079&partnerID=40&md5=46ff12abe74da0f1ed986b0e5704ea6a |
| description |
The quasi-Newton is a well-known method for solving small to medium-scale unconstrained optimization problems due to its simplicity and convergence. This leads to many modifications to improve its performance, and one of them is by hybridizing it with another optimization method. In this study, the quasi-Newton method is combined with the ARM method, which is a type of conjugate gradient method. The resulting hybrid algorithm is globally convergent under exact line search. © Published under licence by IOP Publishing Ltd. |
| publisher |
Institute of Physics Publishing |
| issn |
17426588 |
| language |
English |
| format |
Conference paper |
| accesstype |
All Open Access; Gold Open Access |
| record_format |
scopus |
| collection |
Scopus |
| _version_ |
1809677900955254784 |