Nonlinear regression using PSO and GA

Version 1.0.0 (3.2 KB) by Pakize
These codes find the coefficents of a non linear model with GA and PSO
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Updated 25 Feb 2022

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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. Genetic Algorithms (GA) and Particle Swarm Optimization (PSO) were used for finding some nonlinear regression model coefficients given on this web page(https://www.itl.nist.gov/div898/strd/nls/nls_main.shtml)
The code is only for Chwirut1.

Cite As

Pakize (2024). Nonlinear regression using PSO and GA (https://www.mathworks.com/matlabcentral/fileexchange/107250-nonlinear-regression-using-pso-and-ga), MATLAB Central File Exchange. Retrieved .

Erdoğmuş, Pakize, and Simge Ekiz. "Nonlinear regression using particle swarm optimization and genetic algorithm." International Journal of Computer Applications 153.6 (2016): 28-36.

MATLAB Release Compatibility
Created with R2021b
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
1.0.0