A multiobjective approach for optimizing electrooptic modulators

This work presents preliminary results of a multiobjective approach for optimization of some design parameters of Mach-Zehnder-based lithium niobate modulators. This process uses a genetic algorithm to iteratively refine candidate sets of parameters and the characterization of the modulators is performed by the Finite Element Method. Test cases include optimization of a conventional Mach-Zehnder modulator and a variation of this kind of device using additional floating electrodes. The set of characteristics include parameters such as
Zc,

Nm
and
VpiL
.