Application of Immune Genetic Algorithm to the Optimal Thermal Design of Louvered Panels
2005, 25 (05):
To improve the thermal performance,based on the theory of heat transfer and(optimal) algorithm,a computational method is presented to optimize thermally louverd panels.(Considering) the particularity possessed by radiative energy transfer throughout the optimization of louvered panels,accelerating the optimal process,radiative energy transfer of louvered panels is(resolved) by the introduction of the relation between radiative transfer coefficient and angle factor,which only could be applied to the diffuse system.At the same time,to overcome the limitations(inherit) in traditional optimal algorithms,an immune genetic algorithm is developed,and in(addition),it is applied to the optimal thermal design of louvered panels.It reveals that,in contrast to standard genetic algorithm,the immune genetic algorithm performs better,in the aspects of search speed as well as global search ability.And it could be well applied to thermal design.
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