TY  - JOUR
T1  - Using Particle Swarm Optimization Algorithm to Address the
Multicollinearity Problem
AU - Redha, Sabah Manfi AU - Abdullatif, Adila AU - Hussain, Inaam Aboud 
JO  - Journal of Engineering and Applied Sciences
VL  - 14
IS  - 10
SP  - 3345
EP  - 3353
PY  - 2019
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2019.3345.3353
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2019.3345.3353
KW  - The multicollinearity problem
KW  -particle swarm optimization algorithm
KW  -multicollinearity
KW  -MATLAB
KW  -important problems
KW  -relationship
AB  - 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)).
ER  -