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Evolution Strategies Approach for the Solution of an Inverse Problem in Near-Field Optics

Abstract

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/ ρ, λ) and (μ/ ρ + 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.

Dates and versions

hal-02516017 , version 1 (23-03-2020)

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Demetrio Macías, Alexandre Vial, Dominique Barchiesi. Evolution Strategies Approach for the Solution of an Inverse Problem in Near-Field Optics. 6th European Workshop on Evolutionary Computation in Image Analysis and Signal Processing (EVOIASP), Apr 2004, Coimbra, Portugal. ⟨10.1007/978-3-540-24653-4_34⟩. ⟨hal-02516017⟩

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