Comparative study of bio-inspired optimization algorithms and their application to dielectric function fitting

D. Liu and K. A. Michalski

Journal of Electromagnetic Waves and Applications, 2016, vol. 30, issue 14, 1885-1894

Abstract: A comparative study is presented for the latest bio-inspired optimization algorithms, known as bacterial foraging, firefly, cuckoo search, krill herd, and cuttlefish algorithms. This study also included the more established genetic and particle swarm optimization methods. These algorithms are then applied to a partial-fraction model fitting of tabulated measured dielectric function data for noble metals at optical wavelengths.

Date: 2016
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DOI: 10.1080/09205071.2016.1219277

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Journal of Electromagnetic Waves and Applications is currently edited by Mohamad Abou El-Nasr and Pankaj Kumar Choudhury

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