Bio-inspired optimization algorithms for optical parameter extraction of dielectric materials: A comparative study. (25th September 2016)

• Record Type: Journal Article
• Authors: Ghulam Saber, Md; Arif Shahriar, Kh; Ahmed, Ashik; Hasan Sagor, Rakibul
• Is Part Of: Chinese physics B. Volume 25:Number 10(2016)
• Publication Date: 2016-09-25
• Subjects: 51.70.+f -- 87.55.de -- 02.60.Pn; optical parameter extraction -- particle swarm optimization -- invasive weed optimization -- graphene oxide -- optimization; Physics -- Periodicals; Physics; Periodicals; 530.05
• DOI: 10.1088/1674-1056/25/10/105101
• Languages: English
• ISSNs: 1674-1056

Abstract

Abstract: Particle swarm optimization (PSO) and invasive weed optimization (IWO) algorithms are used for extracting the modeling parameters of materials useful for optics and photonics research community. These two bio-inspired algorithms are used here for the first time in this particular field to the best of our knowledge. The algorithms are used for modeling graphene oxide and the performances of the two are compared. Two objective functions are used for different boundary values. Root mean square (RMS) deviation is determined and compared.