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

被引：0
|
作者：
Md Ghulam Saber [1 ]
Kh Arif Shahriar [1 ,2 ]
Ashik Ahmed [1 ]
Rakibul Hasan Sagor [1 ]
机构：
[1] Department of Electrical and Electronic Engineering, Islamic University of Technology (IUT)  2. Department of Electrical and Electronic Engineering, Northern University Bangladesh (NUB)
来源：
Chinese Physics B | 2016年 / 10期
关键词：
optical parameter extraction; particle swarm optimization; invasive weed optimization; graphene oxide; optimization;
D O I：
暂无
中图分类号：
TB34 [功能材料]; TP18 [人工智能理论];
学科分类号：
080501 ; 081104 ; 0812 ; 0835 ; 1405 ;
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.
引用
收藏
页码：202 / 208
页数：7
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