Title :
A normative differential evolution approach for estimation of heat transfer coefficient during freezing treatment by inverse analysis
Author :
Mariani, Viviana Cocco ; Luvizotto, Luiz Guilherme Justi ; Klein, Carlos Eduardo ; Coelho, Leandro Dos Santos
Author_Institution :
Dept. of Mech. Eng., Pontifical Catholic Univ. of Parana, Curitiba, Brazil
Abstract :
Among the existing meta-heuristic optimization algorithms, a well-known branch is the differential evolution (DE). DE is a powerful population-based algorithm of evolutionary computation field designed for solving global optimization problems which only has a few control parameters. With an eye to improve the performance of DE, in this paper, a DE approach combined with a cultural algorithm technique based on normative knowledge (NDE) is investigated to estimate the heat transfer coefficient during freezing treatment by inverse analysis. Numerical results for inverse heat transfer problem demonstrate the applicability and efficiency of the NDE algorithm. In this application, NDE approach outperforms a classical DE approach in terms of quality of solution.
Keywords :
differential equations; evolutionary computation; heat transfer; inverse problems; cultural algorithm technique; evolutionary computation; freezing treatment; global optimization problems; heat transfer coefficient estimation; inverse analysis; metaheuristic optimization algorithms; normative differential evolution; Algorithm design and analysis; Cultural differences; Evolutionary computation; Heat transfer; Optimization; Temperature; Temperature measurement; differential evolution; evolutionary algorithms; heat transfer; inverse problem; optimization; surface heat transfer coefficient;
Conference_Titel :
Evolutionary Computation (CEC), 2011 IEEE Congress on
Conference_Location :
New Orleans, LA
Print_ISBN :
978-1-4244-7834-7
DOI :
10.1109/CEC.2011.5949663
