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RMTA-kxcn • Rev. Mat 21 (1) • June 2014 •

Open-access Bee colony and particle swarm optimization for the estimation of nonlinear regression parameters

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    This paper shows the comparison results of ABC (Artificial Bee Colony) and PSO (Particle Swarm Optimization) heuristic techniques 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.

    artificial bee colony; particle swarm optimization; nonlinear regression

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    None Revista de Matemática, CIMPA, Universidad de Costa Rica, 2060 San José, Costa Rica. , San José, San José, CR, 2060, 2511-5889, 2511-4918 - E-mail: rmta.cimpa@ucr.ac.cr
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