Optimization of Bragg Grating in Optical Fiber Using Modified Fitness Function and an Accelerated Genetic Algorithm

摘要

This work presents modified genetic algorithm to optimize the fiber Bragg gratings parameters. It is shown that appropriate reformulation of the fitness function and modifications in GA operation are possible to project high quality optical filters and to reduce the computational cost of the technique. The Genetic Algorithm is used to optimize the index modulation profile and geometry of the Bragg grating for application in WDM systems. In theses systems, optical filters with side lobes levels below -30 dB in the 1550-nm window are demanded. Some projects of optical filter are used to compare this new approach with traditional GA.