Revista de Matemática: Teoría y Aplicaciones ISSN Impreso: 1409-2433 ISSN electrónico: 2215-3373

OAI: https://revistas.ucr.ac.cr/index.php/matematica/oai
Artificial bee colony and particle swarm optimization for the estimation of nonlinear regression parameters
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Keywords

artificial bee colony
particle swarm optimization
nonlinear regression
colonias de abejas artificiales
enjambres de partículas
regresión no lineal

How to Cite

De-Los-Cobos-Silva, S., Gutiérrez-Andrade, M. A., Rincón-García, E. A., Lara-Velázquez, P., & Aguilar-Cornejo, M. (2014). Artificial bee colony and particle swarm optimization for the estimation of nonlinear regression parameters. Revista De Matemática: Teoría Y Aplicaciones, 21(1), 107–126. https://doi.org/10.15517/rmta.v21i1.14141

Abstract

This paper shows the comparison results of ABC (Artificial Bee Colony) and PSO (Particle Swarm Optimization) heuristic tech- niques that were used to estimate parameters for nonlinear regression models. The algorithms were tested on 27 data bases from the NIST collection (2001), 8 of these are considered to have high difficulty, 11 medium difficulty and 8 low difficulty. Experimental results are presented.  

https://doi.org/10.15517/rmta.v21i1.14141
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