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Binary optimization of plasmonic nano-disk-based absorption coefficient



  1. Department Of Electrical and Electronic, Omidiyeh Branch, Islamic Azad University, Omidiyeh, Iran
  2. Young Researchers and Elite Club, Omidiyeh Branch, Islamic Azad University, Omidiyeh, Iran
  3. University of Air & Sea Science and Technology, Shiraz, Iran


A new efficient binary optimization method based Teaching-Learning-Based Optimization (TLBO) algorithm is proposed to design an array of plasmonic nano disks in order to achieve maximum absorption coefficient spectrum. In Binary TLBO (BTLBO), a group of learner consists a matrix with binary entries, control the presence (‘1’) or the absence (‘0’) of nano particles in the array. Simulation results show that absorption coefficient strongly depends on the localized position of nano particles and non-periodic structures have more appropriate response in term of absorption coefficient. This approach is useful in optical applications such as solar cells and plasmonic nano antenna..


Plasmonic Nano particles, Optimization Algorithm.


MILAD KABOLI, MAJID AKHLAGHI, MOHSEN BALVASI, HOSSEIN SHAHMIRZAE, Binary optimization of plasmonic nano-disk-based absorption coefficient, Optoelectronics and Advanced Materials - Rapid Communications, 10, 5-6, May-June 2016, pp.322-326 (2016).

Submitted at: Jan. 9, 2015

Accepted at: June 9, 2016