Paper
28 January 2005 Optimal design of DFG-based wavelength conversion based on hybrid genetic algorithm
Xueming Liu, Yanhe Li
Author Affiliations +
Abstract
Based on such techniques as clustering, sharing, crowding and elite replacement, a hybrid genetic algorithm (GA) is proposed. This GA can effectively solve the multimodal optimization including the global and local optima in the quasi-phase-matching (QPM) difference frequency generation (DFG). The conversion efficiency and bandwidth, based on QPM-DFG, are optimized by the matrix operator and hybrid GA. Optimized examples for five-, six- and seven-segment QPM gratings are given, respectively. The optimal results show that adding the segment number of QPM can obviously broaden the conversion bandwidth.
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Xueming Liu and Yanhe Li "Optimal design of DFG-based wavelength conversion based on hybrid genetic algorithm", Proc. SPIE 5646, Nonlinear Optical Phenomena and Applications, (28 January 2005); https://doi.org/10.1117/12.575137
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KEYWORDS
Genetic algorithms

Crystals

Nonlinear crystals

Nonlinear filtering

Difference frequency generation

Dispersion

Nonlinear optics

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