FBG optimization using spline encoded evolution strategy

Abstract

This paper presents an encoding scheme adapted for Fiber Bragg Grating (FBG) optimization using metaheuristics. The proposed encoding scheme uses spline approximations in order to build softened refractive index profiles from few encoded parameters. This approach is suitable for Fiber Bragg Grating (FBG) synthesis because it ensures both the reduction of the problem dimensionality and the respect of important restrictions associated to the FBG manufacture. Simulations are shown where an ES using the spline encoding was able to converge faster and produce more interesting filters, when compared with conventional encoding schemes.

Solving the inverse scattering problem with differential evolution: an experimental validation

“…A similar approach is usually employed for the FBG design to avoid refractive index profiles that are hard to fabricate and/or optimize [16].…”