Binary optimization of metallic nano-tube-based absorption coefficient

摘要

A new efficient binary optimization method being established on teaching-learning-based optimization (TLBO) algorithm was used to design an array of plasmonic nano-tubes to increase maximum absorption coefficient spectrum. Binary TLBO (BTLBO), a bunch of learners including a matrix with binary entries responsible for controlling nano-tubes in the array, shows the presence with symbol of ('1') and the absence with ('0'). Simulation results indicate that non-periodic structure having more appropriate response in terms of the absorption coefficient strongly depends on the position of plasmonic nano-particles and non-periodic structures. This efficient approach is used in optical applications such as solar cell and plasmonic nano-antenna.