Unconstrained Global Optimization Method Based on a Novel Filled Function Approach

Authors : Emad Fathi Hussien QASIM; Idris ABDULHAMID; Abdalmola MOHAMED

Volume/Issue : Volume 6 - 2021, Issue 12 - December

Google Scholar : http://bitly.ws/gu88

Scribd : https://bit.ly/3JKjliP

DOI : https://doi.org/10.5281/zenodo.6198734

In this paper, we propose a new single-factor filled function only where this new filled function is not only easily decomposable but also uniformly approximated by a continuously differentiable function. Therefore, a thumbnail of the proposed filled function can be obtained simply by using the local optimization algorithm. Then, the obtained minimizer is taken as a prime number to reduce the objective function, and by repeating this process, a better miniature is found. And we will finally have a global minimizer. Through the numerical results of the proposed new filled function, it becomes clear to us the effectiveness of this method

Keywords : Global Optimization; Filled Function Method; Global Minimize; Local Minimizer; Strict Local Maximizer; Smoothing Technique.


Paper Submission Last Date
30 - April - 2024

Paper Review Notification
In 1-2 Days

Paper Publishing
In 2-3 Days

Video Explanation for Published paper

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.