Journal of Engineering and Applied Sciences
ISSN: Online 1818-7803ISSN: Print 1816-949x
Abstract
The problem of the multicollinearity problem is one of the important problems that occur in the data which address the existence of the linear relationship between the independent variables. The aim of this study is to address the problem of the multicollinearity problem using particle swarm optimization algorithm or so-called intelligence of the squadron. The variables were generated with different sample sizes for small and large samples (10, 30, 100 and 200) as well as the correlation coefficients between the independent variables (0.85, 0.90 and 0.99) a program was written in MATLAB R 2013 a Version, 8.1, Na had reached the superiority of particle swarm optimization algorithm in all sizes and samples of all correlation coefficients, the comparison has been using the average error boxes (Mean Square Error (MSE)).
How to cite this article:
Sabah Manfi Redha, Adila Abdullatif and Inaam Aboud Hussain. Using Particle Swarm Optimization Algorithm to Address the
Multicollinearity Problem.
DOI: https://doi.org/10.36478/jeasci.2019.3345.3353
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2019.3345.3353