Artículos
Algoritmos de optimización global aplicados en una estrategia de estimación de parámetros
Publicado 2018-01-12
Palabras clave
- Optimización por campo electromagnético,
- minimización de la generación de entropía,
- búsqueda por transferencia de calor,
- problema inverso de la transferencia de calor,
- método de Levenberg-Marquardt
- norma de los mínimos cuadrados ordinarios ...Más
Cómo citar
Matajira-Rueda, D., Cruz Duarte, J., Aviña Cervantes, J., & Correa Cely, C. (2018). Algoritmos de optimización global aplicados en una estrategia de estimación de parámetros. Revista UIS Ingenierías, 17(1), 233–242. https://doi.org/10.18273/revuin.v17n1-2018023
Resumen
Este artículo presenta un estudio comparativo utilizando dos algoritmos de optimización global, el de Optimización por Campo Electromagnético (EFO) y el de Búsqueda por Transferencia de Calor (HTS). Estas técnicas alternativas son eficientes cuando los métodos clásicos encuentran limitaciones para resolver problemas reales. Para verificar el desempeño de los métodos, se implementó el diseño de un disipador de calor de microcanales rectangulares formulando el respectivo problema inverso de transferencia de calor (IHTP). Los resultados experimentales se compararon competitivamente con los resultados tradicionales de Levenberg-Marquardt (LM). Además, los algoritmos globales lograron estimaciones con errores inferiores al 5%, y convergieron al menos tres veces más rápido que LM.
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Referencias
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E. García, I. Amaya, R. Correa, “Algoritmos de optimización en la estimación de propiedades termodinámicas en tiempo real durante el tratamiento térmico de materiales con microondas,” Rev. UIS Ing., vol. 16, no. 2, pp. 129–140, 2017.
F. D. M. Neto and A. J. da Silva Neto, An introduction to inverse problems with applications, First. Springer Science & Business Media, 2012.
M. N. Ozisik, Inverse heat transfer: fundamentals and applications, First. Taylor & Francis, 2000.
A. El Hami and S. Kadry, “Global optimization method for design problems,” Eng. Rev., vol. 36, no. 2, pp. 149–155, 2016.
L. M. Rere, M. I. Fanany, and A. M. Arymurthy, “Metaheuristic algorithms for convolution neural network,” Comput. Intell. Neurosci., vol. 2016, 2016.
R. Gielen and M. Baelmans, “Electronics Cooling System and Component Design According to the Second Law,” J. Heat Transfer, vol. 136, no. 5, pp. 40–51, 2014.
R. Remsburg, Thermal design of electronic equipment, First., vol. 10. CRC press LLC, 2000.
A. M. Adham, N. Mohd-Ghazali, and R. Ahmad, “Thermal and hydrodynamic analysis of microchannel heat sinks: A review,” Renew. Sustain. Energy Rev., vol. 21, pp. 614–622, 2013.
D. B. Tuckerman and R. F. W. Pease, “High-performance heat sinking for VLSI,” IEEE Electron device Lett., vol. 2, no. 5, pp. 126–129, 1981.
S. Baodong, W. Lifeng, L. Jianyun, and C. Heming, “Multi-objective optimization design of a micro-channel heat sink using adaptive genetic algorithm,” Int. J. Numer. Methods Heat Fluid Flow, vol. 21, no. 3, pp. 353–364, 2011.
A. A. Khan, S.-M. Kim, and K.-Y. Kim, “Multi-objective optimization of an inverse trapezoidal-shaped microchannel,” Heat Transf. Eng., vol. 37, no. 6, pp. 571–580, 2016.
A. Bejan, Entropy generation minimization: the method of thermodynamic optimization of finite-size systems and finite-time processes, First. CRC press LLC, 1995.
A. Sciacovelli, V. Verda, and E. Sciubba, “Entropy generation analysis as a design tool—A review,” Renew. Sustain. Energy Rev., vol. 43, pp. 1167–1181, 2015.
R. Gielen, F. Rogiers, Y. Joshi, and M. Baelmans, “On the use of second law based cost functions in plate fin heat sink design,” in Semiconductor Thermal Measurement and Management Symposium (SEMI-THERM), 2011 27th Annual IEEE, 2011, pp. 81–88.
A. M. Adham, N. Mohd-Ghazali, and R. Ahmad, “Optimization of a rectangular microchannel heat sink using entropy generation minimization (EGM) and genetic algorithm (GA),” Arab. J. Sci. Eng., vol. 39, no. 10, pp. 7211–7222, 2014.
J. M. Cruz-Duarte, A. Garcia-Perez, I. M. Amaya-Contreras, and C. R. Correa-Cely, “Designing a microchannel heat sink with colloidal coolants through the entropy generation minimisation criterion and global optimisation algorithms,” Appl. Therm. Eng., vol. 100, pp. 1052–1062, 2016.
E. L. Arias, L. G. Garc’\ia, O. Gualdrón, and R. Correa, “Redes neuronales artificiales en conducción de calor multidimensional transitorio,” Rev. UIS Ing., vol. 2, no. 1, pp. 51–61, 2003.
H. Abedinpourshotorban, S. M. Shamsuddin, Z. Beheshti, and D. N. A. Jawawi, “Electromagnetic field optimization: A physics-inspired metaheuristic optimization algorithm,” Swarm Evol. Comput., vol. 26, pp. 8–22, 2016.
V. K. Patel and V. J. Savsani, “Heat transfer search (HTS): a novel optimization algorithm,” Inf. Sci. (Ny)., vol. 324, pp. 217–246, 2015.