Solving nonlinear optimization problem using approximation methods

Abbas Musleh Salman; Ahmed Sabah Al-Jilawi

doi:10.53730/ijhs.v6nS3.5699

Solving nonlinear optimization problem using approximation methods

https://doi.org/10.53730/ijhs.v6nS3.5699

Authors

Abbas Musleh Salman
abbas.mmm2019@gmail.com
Mathematics Department, University of Babylon
Ahmed Sabah Al-Jilawi Mathematics Department, University of Babylon

Keywords:

optimization, nonlinear optimization, relaxation

Abstract

The goal of this paper is to find a better method for integrating the optimization problem faster, and we did so by using a relaxation of the solution area, which is one of the methodologies in the correlation between the penalty method and the Augmented Lagrange method, and we also built default properties for combining these two methods.

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Alridha, A. H., & Al-Jilawi, A. S. (2022). Solving NP-hard problem using a new relaxation of approximate methods. International Journal of Health Sciences, 6(S3), 523–536. https://doi.org/10.53730/ijhs.v6nS3.5375

Published

08-04-2022

How to Cite

Salman, A. M., & Al-Jilawi, A. S. (2022). Solving nonlinear optimization problem using approximation methods. International Journal of Health Sciences, 6(S3), 1578–1586. https://doi.org/10.53730/ijhs.v6nS3.5699

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Issue

Vol. 6 No. S3 (2022)

Section

Peer Review Articles

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