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Hybrid Evolution Strategy-Downhill Simplex Algorithm for Inverse Light Scattering Problems

  • Demetrio Macías
  • Gustavo Olague
  • Eugenio R. Méndez
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2611)

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.

Keywords

Control Point Simplex Method Scattered Intensity Local Search Algorithm Object Variable 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Demetrio Macías
    • 1
  • Gustavo Olague
    • 1
  • Eugenio R. Méndez
    • 1
  1. 1.División de Física AplicadaCentro de Investigación Científica y de Educación Superior de EnsenadaEnsenadaMéxico

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