Abstract
The rough surface inverse scattering problem is approached with a combination of evolutionary strategies and the simplex method. The surface, assumed one-dimensional and perfectly conducting, is represented using spline curves. Starting from rigorously calculated far-field angle-resolved scattered intensity data, we search for the optimum pro- file using the evolutionary strategies (μ/ρ+,λ). After a fixed number of iterations, the best surface is finally recovered with the downhill simplex method. Aspects of the convergence and lack of uniqueness of the solution are discussed.
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Macías, D., Olague, G., Méndez, E.R. (2003). Hybrid Evolution Strategy-Downhill Simplex Algorithm for Inverse Light Scattering Problems. In: Cagnoni, S., et al. Applications of Evolutionary Computing. EvoWorkshops 2003. Lecture Notes in Computer Science, vol 2611. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36605-9_37
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DOI: https://doi.org/10.1007/3-540-36605-9_37
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