TY  - JOUR
T1  - Hybrid Quasi-Newton and Conjugate Gradient Method for Solving Unconstrained Optimization Problems
AU - Aini, Nurul AU - Hajar, Nurul AU - Mamat, Mustafa AU - Zull, Norhaslinda AU - Rivaie, Mohd 
JO  - Journal of Engineering and Applied Sciences
VL  - 12
IS  - 18
SP  - 4627
EP  - 4631
PY  - 2017
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2017.4627.4631
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2017.4627.4631
KW  - Hybrid quasi-Newton
KW  -conjugate gradient
KW  -Armijo line search
KW  -hybrid methods
KW  -optimization
KW  -modified
AB  - 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.
ER  -