Aims: We present an automatised fitting procedure for the IR range of AGBstar spectra. Furthermore we explore the possibilities and boundaries of thismethod. Methods: We combine the radiative transfer code DUSTY with the geneticalgorithm PIKAIA in order to improve an existing spectral fit significantly.Results: In order to test the routine we carried out a performance test byfeeding an artificially generated input spectrum into the program. Indeed theroutine performed as expected, so, as a more realistic test set-up, we tried tocreate model fits for ISO spectra of selected AGB stars. Here we were not onlyable to improve existing fits, but also to show that a slightly altered dustcomposition may give a better fit for some objects. Conclusion: The use of agenetic algorithm in order to automatise the process of fitting stellar spectraseems to be very promising. We were able to improve existing fits and furtheroffer a quantitative method to compare different models with each other.Nevertheless this method still needs to be studied and tested in more detail.
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