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Design of Electrooptic Modulators Using a Multiobjective Optimization Approach
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DOI：10.1109/JLT.2008.919479.png)
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摘要
En 中文
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.
Keyword:
Computer-aided engineering
electrooptic modulation
finite-element methods
genetic algorithms
optimization method
traveling-wave devices
期刊
IF:
4.8
论文数:
1.7W
被引数:
3.8W
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