Selective and Collaborative Optimization Methods for Plasmonics: A Comparison

Kessentini Sameh (1, 2) , Dominique Barchiesi (1, 2) , Thomas Grosges (1, 2) , Marc Lamy de La Chapelle (3)

1 UTT - Université de Technologie de Troyes
2 Gamma3 - Automatic mesh generation and advanced methods
3 CSPBAT - Chimie, Structures et Propriétés de Biomatériaux et d'Agents Thérapeutiques

In this paper, we optimize the size parameters of hollow nanospheres and nanoshells used in cancer photothermal therapy and we focus on two practical therapy cases: the visible range for shallow cancer and the near infrared for deep cancer. For this, we consider analytical models: the Mie theory for coated spheres. The investigated optimization methods are the Evolutionary Method (EM) and the Particle Swarm Optimization (PSO) which are based on competitiveness and collaborative algorithms, respectively. A comparative study is achieved by checking the efficiency of the optimization methods, to improve the nanoparticles efficiency.

Domaines: Optique [physics.optics]

Kessentini Sameh, Dominique Barchiesi, Thomas Grosges, Marc Lamy de La Chapelle. Selective and Collaborative Optimization Methods for Plasmonics: A Comparison. Progress in Electronmagnetics Research Symposium, Mar 2011, Marrakech, Morocco. pp.291-295. ⟨hal-00631582⟩