Adaptive Non-Uniform Particle Swarm Application to Plasmonic Design

Sameh Kessentini, Dominique Barchiesi, Thomas Grosges, Laurence Giraud-Moreau and Marc Lamy de la Chapelle
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Sameh Kessentini: University of Technology of Troyes, France
Dominique Barchiesi: University of Technology of Troyes, France
Thomas Grosges: University of Technology of Troyes, France
Laurence Giraud-Moreau: University of Technology of Troyes, France
Marc Lamy de la Chapelle: University of Paris XIII, France

International Journal of Applied Metaheuristic Computing (IJAMC), 2011, vol. 2, issue 1, 18-28

Abstract: The metaheuristic approach has become an important tool for the optimization of design in engineering. In that way, its application to the development of the plasmonic based biosensor is apparent. Plasmonics represents a rapidly expanding interdisciplinary field with numerous transducers for physical, biological and medicine applications. Specific problems are related to this domain. The plasmonic structures design depends on a large number of parameters. Second, the way of their fabrication is complex and industrial aspects are in their infancy. In this study, the authors propose a non-uniform adapted Particle Swarm Optimization (PSO) for rapid resolution of plasmonic problem. The method is tested and compared to the standard PSO, the meta-PSO (Veenhuis, 2006) and the ANUHEM (Barchiesi, 2009).These approaches are applied to the specific problem of the optimization of Surface Plasmon Resonance (SPR) Biosensors design. Results show great efficiency of the introduced method.

Date: 2011
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jamc00:v:2:y:2011:i:1:p:18-28

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