Palabras clave
PSO
Nonlinear Regression
ABC
PSO
Regresión No Lineal
Cómo citar
Resumen
Este trabajo presenta los resultados de la técnica heurística de ABC (Artificial Bee Colony) utilizada para estimar los parámetros de modelos de regresión no lineal. El algoritmo fue probado sobre 27 bases de datos de la colección NIST (2001), de las cuales 8 se consideran con un alto grado de dificultad. Se presentan los resultados experimentales.
Citas
Abbass, H.A. (2001) “Marriage in honey-bee optimization (MBO): a haplometrosis polygynous swarming approach”, en: Proceedings The Congress on Evolutionary Computation (CEC2001), Seoul, Korea: 207–214.
Afshar, A.; Bozog Haddad, O; Marino, M.A.; Adams, B.J. (2007) “Honey-bee mating optimization (HBMO) algorithm for optimal reservoir operation”, Journal of the Franklin Institute 344: 452–462.
Karaboga D. (2005) An idea based on honey bee swarm for numerical optimization. Technical Report-TR06, Erciyes University, Engineering Faculty, Computer Engineering Department.
Karaboga D.; Akay, B. (2007) “Artificial bee colony (ABC) algorithm on training artificial neural networks”, en: Proceedings of 15th IEEE Signal Processing and Communications Applications: 1–4.
Karaboga, D.; Akay, B. (2009) “A comparative study of artificial bee colony algorithm”, Applied Mathematics and Computation 214: 108–132.
Karaboga, D.; Osturk, C. (2010) “Fuzzy clustering with artificial bee colony algorithm”, Scientific research and Essays 5(14): 1899–1902.
McCullough, B.D.; Wilson, B. (2005) “On the accuracy of stastistical procedures in Microsoft Excel 2003”, Comput. Stast. and Data Anal. 49: 1244–1252.
NIST (2001), en: http://www.itl.nist.gov/div898/strd /general/dataarchive.html, consultada 20-Feb-2012, 11:35 a.m.
Ozturk, C.; Karaboga, D. (2008) “Classifications by neural networks and clustering with artificial bee colony (ABC) algorithm”, en: Proceedings of the 6th International Symposium on Intelligent and Manufacturing Systems, Features, Strategies and Innovation, Sakarya, Turkey.
Pham, D.T.; Koc, E.; Lee, J.Y.; Phrueksanant, J. (2007) “Using the bees algorithm to schedule jobs for a machine”, en: Proceedings Eighth International Conference on Laser Metrology, CMM and Machine Tool Performance, LAMDAMAP, Euspen, UK, Cardiff: 430–439.
Tvrdík, J. (2009) “Adaptation in differential evolution: a numerical comparison”, Applied Soft Computing 9: 1149–1155.