Abstract

This paper presents preliminary results of a multiobjective approach for optimization of 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 includes parameters such as the characteristic impedance, the effective index of the microwave, and the half-wave voltage.

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