The design of radiant enclosures is an active area of research in radiation heat transfer. When design variables are discrete such as for radiant heater arrays with on-off control of individual heaters, current methods of design optimization fail. This paper reports the development of a metaheuristic thermal radiation optimization approach. Two metaheuristic optimization methods are explored: simulated annealing and tabu search. Both approaches are applied to a combinatorial radiant enclosure design problem. Configuration factors are used to develop a dynamic neighborhood for the tabu search algorithm. Results are presented from the combinatorial optimization problem. Tabu search with a problem specific dynamic neighborhood definition is shown to find better solutions than the benchmark simulated annealing approach in less computation time.
Metaheuristic Optimization of a Discrete Array of Radiant Heaters
Porter, J. M., Larsen, M. E., Barnes, J. W., and Howell, J. R. (March 23, 2006). "Metaheuristic Optimization of a Discrete Array of Radiant Heaters." ASME. J. Heat Transfer. October 2006; 128(10): 1031–1040. https://doi.org/10.1115/1.2345430
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