改进遗传算法在导热反问题研究中的应用——以建筑物外墙热工参数协同研究为例

建筑物外墙导热反问题参数间的协同研究是建筑传热协同理论中的基本问题，主要研究在一定控制目标下（如一定的温度场或热流密度）各参数之间的匹配关系。对于此类问题，需要采用反问题的求解方法。本文在求解过程中引入改进的遗传算法，提出了改进的遗传算法与数值计算相结合的数学模型。通过两个算例的验证，结果表明：改进的遗传算法可以用于建筑物墙体稳态导热参数之间的协同研究，也可以应用于非稳态的类似研究。

An Application of Improved Genetic Algorithm in the Study of Inverse Heat Conduction Problem the Study on the Synergy of Thermotechnical Parameters of Building External wall

The synergy of thermotechnical parameters of building external wall is related to inverse heat conduction problem and is a basic problem in heat transfer synergy theory. Its main purpose is to find the correlation among several parameters under a certain condition（ such as a certain temperature field or heat flow flux）. For this objective, the solution method of inverse problem is needed. Genetic algorithm is introduced and applied in this paper. A mathematic model is built in which the improved genetic algorithm is com- bined with numerical calculation. The verification is conducted by two case studies. It is found that the improved genetic algorithm can be used not only in the study of parameter synergy of steady conduction of building external wall, but also in the unsteady similar re- search.