Mohamed Hamoda, Mustafa Mamat, Mohd Rivaie, Zabidin Salleh
Abstract
In this paper, a modified conjugate gradient method is presented for solving large-scale unconstrained optimization problems, which possesses the sufficient descent property with Strong Wolfe-Powell line search. A global convergence result was proved when the (SWP) line search was used under some conditions. Computational results for a set consisting of 138 unconstrained optimization test problems showed that this new conjugate gradient algorithm seems to converge more stable and is superior to other similar methods in many situations.
محمد احمد حموده | Mohamed Ahmed Hamoda | 19596