Evolutionary strategy combined to Fuzzy Logic and Shannon’s Entropy to maximize the optimization of optical coupler design

Abstract

This work presents a novel optimization strategy for maximum coupling results in optical coupler design. It was performed by the association between Evolutionary Strategy based metaheuristic with Fuzzy Logic and Shannon’s Entropy estimation for fitness bias support and control population diversity, respectively. This solution provided convergence for better results with fewer iterations and, consequently, reduced processing time. The results of some of the performance tests are presented, in which the best configuration obtained using the ES+Fuzzy with Shannon’s Entropy leads to an optical coupling around 86% by a device operating at a wavelength of 1.55μm to support the telecommunication services.

Keywords

• Optical design
• Optimization
• Evolutionary strategy
• Fuzzy Logic
• Shannon’s Entropy