A Hybrid Stochastic Deterministic Algorithm for Solving Unconstrained Optimization Problems

In this paper, a new deterministic method is proposed. This method depends on presenting (suggesting) some modifications to existing parameters of some conjugate gradient methods. The parameters of our suggested method contain a mix of deterministic and stochastic parameters. The proposed method is...

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Bibliographic Details
Published in:	Mathematics (Basel) Vol. 10; no. 17; p. 3032
Main Authors:	Alshamrani, Ahmad M., Alrasheedi, Adel Fahad, Alnowibet, Khalid Abdulaziz, Mahdi, Salem, Mohamed, Ali Wagdy
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.09.2022
Subjects:	Algorithms Approximation Conjugate gradient method conjugate gradient methods Convergence derivative-free optimization Finite difference method Food science global optimization Mathematical functions Mathematical optimization Mathematical research meta-heuristics Methods Optimization Optimization algorithms Parameter modification Search algorithms stochastic methods Stochastic processes unconstrained minimization United States
ISSN:	2227-7390, 2227-7390
Online Access:	Get full text
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