Discussion
20 January
A Multi-Objective Genetic Algorithm Approach for Silicon Photonics Design
Related publication: 10.3390/photonics11010080
In this paper, we propose a novel optimization method for designing complex silicon photonics circuits, such as interleavers and deinterleavers, which are essential for wavelength-division-multiplexing (WDM) communications.
Our method uses a genetic algorithm to find the optimal values of the coupling coefficients, which govern the circuit performance, in order to satisfy multiple and contradicting WDM specifications, such as bandwidth, crosstalk, dispersion, insertion loss, and shape factor.
Our method can be easily extended to other types of silicon photonics circuits and can handle different performance metrics and constraints. We believe that our method can facilitate the design and optimization of silicon photonics devices and applications, and contribute to the advancement of this promising field.
Our method uses a genetic algorithm to find the optimal values of the coupling coefficients, which govern the circuit performance, in order to satisfy multiple and contradicting WDM specifications, such as bandwidth, crosstalk, dispersion, insertion loss, and shape factor.
Our method can be easily extended to other types of silicon photonics circuits and can handle different performance metrics and constraints. We believe that our method can facilitate the design and optimization of silicon photonics devices and applications, and contribute to the advancement of this promising field.
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