Distributed adaptive differential evolution algorithm for mathematical functions optimization and development of optical band pass filter

Abstract

In this paper, we have discussed an innovative method for crafting a one-dimensional photonic crystal (1D PhC) based Optical Band Pass Filter (OBPF) using a Differential Evolution (DE) algorithm. 1D PhC-based OBPF plays a vital role in optical communication systems due to its ability to control light propagation. The proposed technique optimizes the photonic crystal structure to achieve the desired optical bandpass characteristics efficiently. The DE algorithm streamlines the design process and enables fast exploration of the design space. The effectiveness of this approach is validated through simulations and comparisons with the existing well-known methods. The OBPF comprises multiple dielectric layers with varying thicknesses and refractive indices to enable high transmission at specific wavelengths and low transmission elsewhere. The Optimization techniques are employed to adjust the parameters like thickness, refractive index, and number of layers. The DE method, thus, enhances the performance of OBPF. MATLAB implementation showcases significant outcomes with high transmittance (99.9727%), low reflectance (0.0273%), and a narrow Full Width at Half Maximum of 0.5 nm that affirms its efficacy.