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Scholars Journal of Engineering and Technology | Volume-4 | Issue-12
A PRP-FR Hybrid Conjugate Gradient Algorithm for Unconstrained Optimization
Lirong Wang, Xiaoli Tian
Published: Dec. 30, 2016 | 169 125
DOI: 10.21276/sjet.2016.4.12.5
Pages: 588-593
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Abstract
In this paper, a modified hybrid conjugate gradient algorithm is proposed for solving unconstrained optimization problems, which avoid the drawbacks of PRP and FR. The global convergence of this method is established under strong Wolfe line search conditions. The numerical results show that the proposed method is effective.