中国物理B ›› 2016, Vol. 25 ›› Issue (10): 105101-105101.doi: 10.1088/1674-1056/25/10/105101

• PHYSICS OF GASES, PLASMAS, AND ELECTRIC DISCHARGES • 上一篇    下一篇

Bio-inspired optimization algorithms for optical parameter extraction of dielectric materials: A comparative study

Md Ghulam Saber, Kh Arif Shahriar, Ashik Ahmed, Rakibul Hasan Sagor   

  1. 1 Department of Electrical and Electronic Engineering, Islamic University of Technology (IUT), Board Bazar, Gazipur 1704, Bangladesh;
    2 Department of Electrical and Electronic Engineering, Northern University Bangladesh (NUB), Sher Tower, Holding No-13, Road-17, Banani, Dhaka 1213, Bangladesh
  • 收稿日期:2016-04-27 修回日期:2016-06-02 出版日期:2016-10-05 发布日期:2016-10-05
  • 通讯作者: Md Ghulam Saber E-mail:gsaber@iut-dhaka.edu

Bio-inspired optimization algorithms for optical parameter extraction of dielectric materials: A comparative study

Md Ghulam Saber1, Kh Arif Shahriar1,2, Ashik Ahmed1, Rakibul Hasan Sagor1   

  1. 1 Department of Electrical and Electronic Engineering, Islamic University of Technology (IUT), Board Bazar, Gazipur 1704, Bangladesh;
    2 Department of Electrical and Electronic Engineering, Northern University Bangladesh (NUB), Sher Tower, Holding No-13, Road-17, Banani, Dhaka 1213, Bangladesh
  • Received:2016-04-27 Revised:2016-06-02 Online:2016-10-05 Published:2016-10-05
  • Contact: Md Ghulam Saber E-mail:gsaber@iut-dhaka.edu

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摘要： 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.

关键词: optical parameter extraction, particle swarm optimization, invasive weed optimization, graphene oxide, optimization

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.

Key words: optical parameter extraction, particle swarm optimization, invasive weed optimization, graphene oxide, optimization

中图分类号:  (Optical and dielectric properties)

  • 51.70.+f
87.55.de (Optimization) 02.60.Pn (Numerical optimization)