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Proceedings Paper

Optimal design of DFG-based wavelength conversion based on hybrid genetic algorithm
Author(s): Xueming Liu; Yanhe Li
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Paper 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.

Paper Details

Date Published: 28 January 2005
PDF: 8 pages
Proc. SPIE 5646, Nonlinear Optical Phenomena and Applications, (28 January 2005); doi: 10.1117/12.575137
Show Author Affiliations
Xueming Liu, Tsinghua Univ. (China)
Yanhe Li, Tsinghua Univ. (China)

Published in SPIE Proceedings Vol. 5646:
Nonlinear Optical Phenomena and Applications
Qihuang Gong; Yiping Cui; Roger A. Lessard, Editor(s)

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