HOME JOURNALS CONTACT

Journal of Engineering and Applied Sciences

Hybrid Quasi-Newton and Conjugate Gradient Method for Solving Unconstrained Optimization Problems
Nurul Aini, Nurul Hajar, Mustafa Mamat, Norhaslinda Zull and Mohd Rivaie

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, 2017. Hybrid Quasi-Newton and Conjugate Gradient Method for Solving Unconstrained Optimization Problems. Journal of Engineering and Applied Sciences, 12: 4627-4631.

© Medwell Journals. All Rights Reserved