Abstract
A hybrid deterministic–stochastic algorithm combining the simplex method (SM) and a genetic algorithm (GA) was applied to the problem of extracting the optical and morphological properties of human skin (HSOMPs) from visual reflectance spectroscopy data. The results using the GA-SM hybrid algorithm adopting tournament selection and selecting new sets of HSOMPs were compared with those using other conventional optimization algorithms that have generally been used for the extraction of HSOMPs. Monte-Carlo simulation showed that the suggested GA-SM hybrid algorithm enhanced the stability of the inverse solutions and computational efficiency.
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Acknowledgments
The author thanks the anonymous reviewers for constructive comments on the original version of this article. Also, the author is grateful to Chang-Hwan Im, PhD, Professor of the Department of Biomedical Engineering, Yonsei University, Wonju, Korea, for many useful technical suggestions to improve the quality of the present algorithm.
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Choi, S.H. Fast and robust extraction of optical and morphological properties of human skin using a hybrid stochastic–deterministic algorithm: Monte-Carlo simulation study. Lasers Med Sci 25, 733–741 (2010). https://doi.org/10.1007/s10103-010-0793-x
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DOI: https://doi.org/10.1007/s10103-010-0793-x