We propose and study two inversion procedures for the characterization of a nanostructure from near-field scattered intensity data. For this approach, the inverse problem is reformulated as a non-linear constrained optimization problem. The solution of the resultant fitness function is found through the application of the (μ/rho;, λ) and (μ/rho; + λ) strategies. The performance of the inversion algorithms is illustrated through an example and the results are discussed by means of a comparison between the methods proposed. © Springer-Verlag 2004.
CITATION STYLE
Macias, D., Vial, A., & Barchiesi, D. (2004). Evolution strategies approach for the solution of an inverse problem in near-field optics. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3005, 329–338. https://doi.org/10.1007/978-3-540-24653-4_34
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