Use of a differential evolution algorithm for determining input driving signals in optical frequency combs

Abstract

In this work, a genetic algorithm based on differential evolution is proposed to identify sets of input driving signals used in the generation of optical frequency combs with Mach-Zehnder intensity modulators. Simulation results show that the algorithm is a powerful technique for solving a multiparameter optimization problem concerning the design of combs with a desired number of optical frequency lines under a given flatness. Results from experiments corroborate that combs with the desired number of lines can be achieved according to the driving voltages provided by the algorithm.