# Genetic Optimization of Photonic Bandgap Structures

## TL;DR

This paper demonstrates that genetic algorithms can effectively optimize complex photonic crystal structures for specific objectives, showcasing their potential as robust design tools in photonics.

## Contribution

The paper introduces a GA-based methodology for designing photonic crystals, capable of handling complex design spaces and optimizing structures for targeted objectives.

## Key findings

- GA performs well in complex design spaces
- Optimized PC structures meet specific objectives
- Potential for future photonic design applications

## Abstract

We investigate the use of a Genetic Algorithm (GA) to design a set of photonic crystals (PCs) in one and two dimensions. Our flexible design methodology allows us to optimize PC structures which are optimized for specific objectives. In this paper, we report the results of several such GA-based PC optimizations. We show that the GA performs well even in very complex design spaces, and therefore has great potential for use as a robust design tool in present and future applications.