Abstract

A new hybrid optimization algorithm is proposed for the design of a fiber Bragg grating (FBG) with complex characteristics. The hybrid algorithm is a two-tier search that employs a global optimization algorithm (i.e., the Staged Continuous Tabu Search (SCTS) algorithm) and a local optimization method (i.e., the Quasi-Newton method). First, the SCTS global optimization algorithm is used to find a “promising” FBG structure that has a spectral response as close as possible to the targeted spectral response. Then, a local optimization method, namely, the Quasi-Newton method, is applied to further optimize the promising FBG structure obtained from the SCTS algorithm to arrive at a targeted spectral response. To demonstrate the effectiveness of the method, the design and fabrication of an optical bandpass filter are presented.

© 2007 IEEE

Two-stage hybrid optimization of fiber Bragg gratings for design of linear phase filters

Rui Tao Zheng, Nam Quoc Ngo, Le Nguyen Binh, and Swee Chuan Tjin
J. Opt. Soc. Am. A 21(12) 2399-2405 (2004)

Design of short fiber Bragg gratings by use of optimization

Kyrre Aksnes and Johannes Skaar
Appl. Opt. 43(11) 2226-2230 (2004)

Optimization algorithm for ultrabroadband multichannel aperiodic fiber Bragg grating filters

J. Bland-Hawthorn, A. Buryak, and K. Kolossovski
J. Opt. Soc. Am. A 25(1) 153-158 (2008)

Multi-objective and constrained design of fibre Bragg gratings using Evolutionary Algorithms

Steven Manos and Leon Poladian
Opt. Express 13(19) 7350-7364 (2005)

Effective algorithm for high-channel-count multichannel fiber Bragg grating designs

Yuhsin Chang and Chyong-Hua Chen
Appl. Opt. 51(25) 5952-5959 (2012)