An inverse thermal field problem based on noisy measurements: comparison of a genetic algorithm and the sequential function specification method

Abstract

Draws a comparison between the use of a genetic algorithm and the sequential function specification method for the solution of a one‐dimensional linear inverse thermal field problem, based on the use of noisy measurements. In solving this problem aims to estimate the value of a single constant convective heat transfer coefficient. Documents the findings that both approaches can provide estimates within 1 per cent of the target solution and that the sensitivity and robustness of each approach to measurement location, time step size and measurement errors are markedly different.

Citation

Wood, R.L. (1996), "An inverse thermal field problem based on noisy measurements: comparison of a genetic algorithm and the sequential function specification method", Engineering Computations, Vol. 13 No. 6, pp. 43-59. https://doi.org/10.1108/02644409610128409