Multi-Symmetric Level (MSL) Optimization Technique Based on Genetic Algorithm for Photonic Devices Design

Abstract The optimization of three-dimensional device has widely been explored and designated as computational challenge in photonic device design. In this context, this work presents a novel multi-symmetric level (MSL) optimization procedure based on Genetic Algorithm (GA) to decrease the computational requirements in a three-dimensional photonic coupler device optimization. The proposed procedure divides the device optimization into many local regions by dimensional symmetric aspects, being based on divide- to-conquer strategies. As the optimization converges to acceptance values, the number of symmetric areas are decreasing until a unique local area that modeled the total 3D photonic device. This procedure was validated by the minimization of a photonic coupler modeled to interconnect optical waveguides with different height, width and refractive indices.