Semi-deterministic versus genetic algorithms for global optimisation of multichannel optical filters | Zendy

Benjamín Ivorra | Zendy; Bijan Mohammadi | Zendy; Patrick Redont | Zendy; Laurent Dumas | Zendy; Olivier Durand | Zendy

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Semi-deterministic versus genetic algorithms for global optimisation of multichannel optical filters

Author(s) -

Benjamín Ivorra,

Bijan Mohammadi,

Patrick Redont,

Laurent Dumas,

Olivier Durand

Publication year - 2006

Publication title -

international journal of computational science and engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.291

H-Index - 21

eISSN - 1742-7193

pISSN - 1742-7185

DOI - 10.1504/ijcse.2006.012769

Subject(s) - sinc function , realisation , focus (optics) , algorithm , genetic algorithm , computer science , channel (broadcasting) , optical filter , optics , physics , telecommunications , computer vision , quantum mechanics , machine learning

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

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