Articles
Global optimization algorithms applied in a parameter estimation strategy
Published 2018-01-12
Keywords
- Electromagnetic field optimization (EFO),
- entropy generation minimization (EGM),
- heat transfer search (HTS),
- inverse heat transfer problem (IHTP),
- Levenberg-Marquardt method (LM)
- ordinary least squares norm (OLSN) ...More
How to Cite
Matajira-Rueda, D., Cruz Duarte, J., Aviña Cervantes, J., & Correa Cely, C. (2018). Global optimization algorithms applied in a parameter estimation strategy. Revista UIS Ingenierías, 17(1), 233–242. https://doi.org/10.18273/revuin.v17n1-2018023
Abstract
This article presents a comparative study using two global optimization algorithms, Electromagnetic Field Optimization (EFO) and Heat Transfer Search (HTS). These techniques are efficient alternatives when classical methods find limitations to solve real problems. To verify methods performance, the rectangular microchannel heat sink design was implemented formulating the respective Inverse Heat Transfer Problem (IHTP). Experimental results were competitively compared with the traditional Levenberg-Marquardt (LM) outcomes. Moreover, global algorithms achieved estimations with errors lower than 5%, and they converged at least three times faster than LM.
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References
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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.