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Multi-parameter estimation in combined conduction-radiation from a plane parallel participating medium using genetic algorithms

机译:遗传算法在平面平行参与介质组合传导辐射中的多参数估计

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摘要

An inverse conduction-radiation problem for simultaneous estimation of the conduction-radiation parameter, the optical thickness and the boundary emissivity from a knowledge of the measured temperature profile for combined conduction and radiation in a plane parallel participating medium is presented. A finite volume method is used to solve the "forward" problem, wherein the temperature profile is determined by a solution of the governing equation for a given set of parameters. The inverse problem is treated as an optimization problem, wherein, we minimize the sum of square of residuals between the measured and estimated temperatures. Genetic algorithms are used for the search. The effects of "measurement" errors on the estimated parameters, which are introduced through a random perturbation, are investigated.
机译:提出了一个反传导辐射问题,用于同时估计传导辐射参数,光学厚度和边界发射率,这是通过在平面平行参与介质中结合传导和辐射的测得温度曲线的知识获得的。使用有限体积方法来解决“正向”问题,其中温度曲线由给定参数集的控制方程的解确定。逆问题被视为优化问题,其中,我们将实测温度和估计温度之间的残差平方和最小化。遗传算法用于搜索。研究了通过随机扰动引入的“测量”误差对估计参数的影响。

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