The application of conjugate gradient methods to optimize 3D printed parameters

Mohd Yussoff, Nurul Hajar and Nurul ‘Aini and Shapiee, Norrlaili and Rivaie, Mohd and Samsudin, Adam and Hussin, Nor Hafizah and Hairol Anuar, Siti Haryanti (2024) The application of conjugate gradient methods to optimize 3D printed parameters. Journal of Advanced Research in Applied Mechanics, 120 (1). pp. 136-141. ISSN 2289-7895

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Abstract

The Conjugate Gradient (CG) method stands as an evolved computational technique designed for addressing unconstrained optimization problems. Its attractiveness stems from its simplicity, making it straightforward to implement, and its proven track record in effectively addressing real-world applications. Despite the recent surge in interest in this field, certain newer versions of the CG algorithm have failed to outperform the efficiency of their predecessors. Consequently, this paper introduces a fresh CG variant that upholds essential properties of the original CG methods, including sufficient descent and global convergence. In this paper, three types of new CG coefficients are presented with applications in optimizing data. Numerical experiments show that the proposed methods have succeeded in solving problems under exact line search conditions.

Item Type:	Article
Uncontrolled Keywords:	Conjugate gradients method, Optimization, Exact line search, Regression
Divisions:	Faculty Of Industrial And Manufacturing Technology And Engineering
Depositing User:	Norfaradilla Idayu Ab. Ghafar
Date Deposited:	20 Dec 2024 07:55
Last Modified:	20 Dec 2024 07:55
URI:	http://eprints.utem.edu.my/id/eprint/27840
Statistic Details:	View Download Statistic

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