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Nonlinear Regression using Particle Swarm Optimization and Genetic Algorithm

by Pakize Erdoğmuş, Simge Ekiz
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 153 - Number 6
Year of Publication: 2016
Authors: Pakize Erdoğmuş, Simge Ekiz
10.5120/ijca2016912081

Pakize Erdoğmuş, Simge Ekiz . Nonlinear Regression using Particle Swarm Optimization and Genetic Algorithm. International Journal of Computer Applications. 153, 6 ( Nov 2016), 28-36. DOI=10.5120/ijca2016912081

@article{ 10.5120/ijca2016912081,
author = { Pakize Erdoğmuş, Simge Ekiz },
title = { Nonlinear Regression using Particle Swarm Optimization and Genetic Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { Nov 2016 },
volume = { 153 },
number = { 6 },
month = { Nov },
year = { 2016 },
issn = { 0975-8887 },
pages = { 28-36 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume153/number6/26407-2016912081/ },
doi = { 10.5120/ijca2016912081 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:58:25.161560+05:30
%A Pakize Erdoğmuş
%A Simge Ekiz
%T Nonlinear Regression using Particle Swarm Optimization and Genetic Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 153
%N 6
%P 28-36
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Nonlinear regression is a type of regression which is used for modeling a relation between the independent variables and dependent variables. Finding the proper regression model and coefficients is important for all disciplines. In this study, it is aimed at finding the nonlinear model coefficients with two well-known population-based optimization algorithms. Genetic Algorithms (GA) and Particle Swarm Optimization (PSO) were used for finding some nonlinear regression model coefficients. It is shown that both algorithms can be used as an alternative way for coefficients estimation of nonlinear regression models.

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Index Terms

Computer Science
Information Sciences

Keywords

Nonlinear regression Genetic Algorithm Particle Swarm Optimization

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