American Journal of Applied Sciences

New Approach in Optimization Using Variant of the First Derivative (CFDSM)

Tahseen Ali Jabbar, Saleh Ismael Najem and Sadoun Fahad Dakhil

DOI : 10.3844/ajassp.2019.308.313

American Journal of Applied Sciences

Volume 16, 2019

Pages 308-313

Abstract

Optimization methods are considered very important in engineering and industrial fields. Many of these methods depend on regression function for finding optimal values. In this research, a new method was adopted based on the change of the signal of the first derivative, where the update is based on the reference of the first derivative of the function. The results show that this method can be used to find optimization, as well as that it is very sensitive to the chosen range.

Copyright

© 2019 Tahseen Ali Jabbar, Saleh Ismael Najem and Sadoun Fahad Dakhil. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.