Design Optimization of Lithium Niobate Modulators using a Genetic Algorithm

This work presents the optimization of some design parameters of a lithium niobate modulator using a genetic algorithm to iteratively refine candidate set of parameters. Each of these candidate solutions is evaluated by applying the Finite Element Method. Numerical results show that the genetic algorithm is able to optimize design parameters of the lithium niobate modulator. Test cases include optimization of single and multiple parameters of the modulator. The set of characteristics include the half wave voltage, the electrode characteristic impedance, and the resulting bandwidth of the device.