2026-06-27T10:49:31Zhttps://docta.ucm.es/rest/oai/requestoai:docta.ucm.es:20.500.14352/513442024-05-28T13:07:07Zcom_20.500.14352_14col_20.500.14352_15
Ivorra, BenjamÃn Pierre Paul
Mohammadi, Bijan
Redont, Patrick
Dumas, Laurent
Durand, Olivier
2023-06-20T10:51:22Z
2023-06-20T10:51:22Z
2006
1742-7185
10.1504/IJCSE.2006.012769
https://hdl.handle.net/20.500.14352/51344
http://www.inderscience.com/info/inarticle.php?artid=12769
http://www.inderscience.com/
A new global optimization algorithm is presented and applied to the design of high-channel-count multichannel filters based on sampled Fiber Bragg Gratings. We focus on the realization of particular designs corresponding to multichannel filters that consist of 16 and 38 totally reflective identical channels spaced 100 GHz. The results are compared with those obtained by a hybrid genetic algorithm and by the classical sinc method.
eng
open access
Semi-Deterministic vs. Genetic Algorithms for Global Optimization of Multichannel Optical Filters
journal article