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.
© 2008 IEEE
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