Binary TLBO algorithm assisted to investigate the supper scattering plasmonic nano tubes

One of the most promising plasmonics nano-particle platforms is studying the effect of non-periodic structure of nano-particles on transmitted light. Since properties of transmitted light strongly depend on the localized positions of plasmonic nano particles, a new efficient binary optimization method based on Teaching–Learning-Based Optimization (TLBO) algorithm is proposed to design an array of plasmonic nano tubes in order to achieve maximum scattering coefficient spectrum. In binary TLBO (BTLBO), a group of learners consisting of a matrix with binary entries controls the presence (‘1’) or the absence (‘0’) of nano tubes in the array. Simulation results show that scattering coefficient strongly depends on the localized position of nano particles and non-periodic structures have more appropriate response in term of scattering coefficient. This approach can be useful in optical applications such as plasmonic nano antenna.