Amina Hallal, Mohammed Belloufi and Badreddine Sellami (2022) AN EFFICIENT NEW HYBRID CG-METHOD AS CONVEX COMBINATION OF DY AND CD AND HS ALGORITHMS. RAIRO-Oper. Res , 56(), 4047–4056
Scientific Publications
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Abstract
In this paper, we proposed a new hybrid conjugate gradient algorithm for solving unconstrained
optimization problems as a convex combination of the Dai-Yuan algorithm, conjugate-descent
algorithm, and Hestenes-Stiefel algorithm. This new algorithm is globally convergent and satisfies the
sufficient descent condition by using the strong Wolfe conditions. The numerical results show that the
proposed nonlinear hybrid conjugate gradient algorithm is efficient and robust.
optimization problems as a convex combination of the Dai-Yuan algorithm, conjugate-descent
algorithm, and Hestenes-Stiefel algorithm. This new algorithm is globally convergent and satisfies the
sufficient descent condition by using the strong Wolfe conditions. The numerical results show that the
proposed nonlinear hybrid conjugate gradient algorithm is efficient and robust.
Information
| Item Type | Journal |
|---|---|
| Divisions |
» Laboratory of Computer Science and Mathematics |
| ePrint ID | 4827 |
| Date Deposited | 2024-02-06 |
| Further Information | Google Scholar |
| URI | https://univ-soukahras.dz/en/publication/article/4827 |
BibTex
@article{uniusa4827,
title={AN EFFICIENT NEW HYBRID CG-METHOD AS CONVEX COMBINATION OF DY AND CD AND HS ALGORITHMS},
author={Amina Hallal, Mohammed Belloufi and Badreddine Sellami},
journal={RAIRO-Oper. Res}
year={2022},
volume={56},
number={},
pages={4047–4056},
publisher={}
}
title={AN EFFICIENT NEW HYBRID CG-METHOD AS CONVEX COMBINATION OF DY AND CD AND HS ALGORITHMS},
author={Amina Hallal, Mohammed Belloufi and Badreddine Sellami},
journal={RAIRO-Oper. Res}
year={2022},
volume={56},
number={},
pages={4047–4056},
publisher={}
}