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

• 作 者: Md Ghulam Saber Kh Arif Shahriar Ashik Ahmed Rakibul Hasan Sagor
• 机 构: Department of Electrical and Electronic Engineering, Islamic University of Technology (IUT),Departme
• 出 处: Chinese Physics B
• 发表日期: 2016年10期
• 关键词: inspired dielectric deviation photonics extracting Root swarm optics fitness ite

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.

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 for the first time in this particular field to the 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.