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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kessentini, S. Barchiesi, D. Grosges, T. de la Chapelle, M.L. |
| Copyright Year | 2011 |
| Description | Author affiliation: CSPBAT CNRS-FRE 3043 - UFR SMBH, Université Paris 13, Bobigny, France, 93017 (de la Chapelle, M.L.) || Gamma 3 Project (UTT-INRIA), STMR CNRS-UMR 6279, University of Technology of Troyes, Troyes, France, 10010 - BP 2060 (Kessentini, S.; Barchiesi, D.; Grosges, T.) |
| Abstract | In this paper the Evolutionary Method (EM) and the Particle Swarm Optimization (PSO), which are based on competitiveness and collaborative algorithms respectively, are investigated for plasmonic design. Actually, plasmonics represents a rapidly expanding interdisciplinary field with numerous devices for physical, biological and medicine applications. In this study, four EM and PSO algorithms are tested in two different plasmonic applications: design of surface plasmon resonance (SPR) based biosensors and optimization of hollow nanospheres used in curative purposes (cancer photothermal therapy). Specific problems-in addition of being multimodal and having different topologies — are related to plasmonic design; therefore the most efficient optimization method should be determined through a comparative study. Results of simulations enable also to characterize the optimization methods and depict in which case they are more efficient. |
| Starting Page | 2315 |
| Ending Page | 2320 |
| File Size | 336045 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424478347 |
| e-ISBN | 9781424478354 |
| DOI | 10.1109/CEC.2011.5949903 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-06-05 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Biosensors Plasmons Convergence Cancer Optimization Gold Lighting multimodal partcile swarm optimization evolutionary method biomedical |
| Content Type | Text |
| Resource Type | Article |
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