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Optimization of radiant heater power for heating of flat plates using metaheuristic methods

Afif Tajouri 1 Georges El Hitti 1 Maroun Nemer 1
1 CEP/Paris
CEP - Centre Énergétique et Procédés
Abstract : In this article, simulated annealing (SA), genetic algorithm (GA), and tabu search (TS) methods are employed separately and together for finding optimal radiant heater settings for obtaining a specific temperature profile on a design surface. Results show that all methods yield to very acceptable results for various desired temperature profiles but after different number of iterations. The GA and TS methods progress very rapidly before slowly stabilizing after a certain number of iterations, while the SA method progresses for longer periods. In addition, hybrid combinations of GA, SA, and TS proved to be better than separate ones.
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Submitted on : Wednesday, January 2, 2013 - 2:14:34 PM
Last modification on : Thursday, September 24, 2020 - 5:22:04 PM

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Afif Tajouri, Georges El Hitti, Maroun Nemer. Optimization of radiant heater power for heating of flat plates using metaheuristic methods. Numerical Heat Transfer, Part A Applications, Taylor & Francis, 2011, 59 (7), pp.503-520. ⟨10.1080/10407782.2011.561087⟩. ⟨hal-00769588⟩

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