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

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Applications of Evolutionary Computing (EvoWorkshops 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3005))

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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.

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Author information

Authors and Affiliations

  1. Laboratoire de Nanotechnologie et d’Instrumentation, Optique Université de Technologie de Troyes, 12, rue Marie Curie, BP 2060, 10010, Troyes cedex, France

    Demetrio Macias, Alexandre Vial & Dominique Barchiesi

Authors
  1. Demetrio Macias
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  2. Alexandre Vial
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  3. Dominique Barchiesi
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Editor information

Editors and Affiliations

  1. Institute of Computer Graphics and Algorithms, Vienna University of Technology, Favoritenstraße 9–11/1861, 1040, Vienna, Austria

    Günther R. Raidl

  2. Dipartimento di Ingegneria dell’Informazione, Università di Parma,  

    Stefano Cagnoni

  3. Institute AIFB, University of Karlsruhe, 76128, Karlsruhe, Germany

    Jürgen Branke

  4. School of Mathematical and Computer Science, Heriot-Watt University, EH14 8AS, Edinburgh, UK

    David Wolfe Corne

  5. Institute of Computer Science, University of Bremen, 28359, Bremen, Germany

    Rolf Drechsler

  6. Honda Research Institute Europe GmbH, Offenbach/Main, Germany

    Yaochu Jin

  7. Computing Laboratory, University of Kent, Canterbury, UK

    Colin G. Johnson

  8. CISUC, Department of Informatics Engineering, University of Coimbra, Polo II of the University of Coimbra, 3030, Coimbra, Portugal

    Penousal Machado

  9. ICIS, Radboud University Nijmegen, The Netherlands

    Elena Marchiori

  10. Johannes Gutenberg University, Mainz, Germany

    Franz Rothlauf

  11. School of Computing Sciences, UEA Norwich, University of East Anglia, NR4 7TJ, Norwich, UK

    George D. Smith

  12. Dipartimento di Automatica e Informatica, Politecnico di Torino, Italy

    Giovanni Squillero

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© 2004 Springer-Verlag Berlin Heidelberg

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Macias, D., Vial, A., Barchiesi, D. (2004). Evolution Strategies Approach for the Solution of an Inverse Problem in Near-Field Optics. In: Raidl, G.R., et al. Applications of Evolutionary Computing. EvoWorkshops 2004. Lecture Notes in Computer Science, vol 3005. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24653-4_34

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  • DOI: https://doi.org/10.1007/978-3-540-24653-4_34

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-21378-9

  • Online ISBN: 978-3-540-24653-4

  • eBook Packages: Springer Book Archive

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