Journal of Engineering and Applied Sciences

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Hybrid Quasi-Newton and Conjugate Gradient Method for Solving Unconstrained Optimization Problems

Nurul Aini, Nurul Hajar, Mustafa Mamat, Norhaslinda Zull and Mohd Rivaie
Page: 4627-4631 | Received 21 Sep 2022, Published online: 21 Sep 2022

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Abstract

A hybrid of quasi-Newton and conjugate gradient method combines the search direction of the two methods to produce a new algorithm for solving unconstrained optimization functions. In this study, a modified hybrid Quasi-Newton method is presented where a new conjugate gradient coefficient is employed in the search direction. Based on the numerical results, the proposed hybrid method proved to be robust in comparison to the original quasi-Newton method and other hybrid methods.

How to cite this article:

Nurul Aini, Nurul Hajar, Mustafa Mamat, Norhaslinda Zull and Mohd Rivaie. Hybrid Quasi-Newton and Conjugate Gradient Method for Solving Unconstrained Optimization Problems.
DOI: https://doi.org/10.36478/jeasci.2017.4627.4631
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2017.4627.4631