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

 

Author: Benjamin Ivorra, Bijan Mohammadi, Patrick Redont, Laurent Dumas, Olivier Durand

 

Addresses:
Mathematics and Modelling Institute, University Montpellier II, Montpellier 34095, France.
Mathematics and Modelling Institute, University Montpellier II, Montpellier 34095, France.
Mathematics and Modelling Institute, University Montpellier II, Montpellier 34095, France.
Jacques-Louis Lions Laboratory, University of Paris VI, Paris 75252, France.
Alcatel CRC, Marcoussis 91460, France

 

Journal: Int. J. of Computational Science and Engineering, 2006 Vol.2, No.3/4, pp.170 - 178

 

Abstract: A new global optimisation algorithm is presented and applied to the design of high-channel-count multichannel filters based on sampled Fibre Bragg Gratings (FBGs). We focus on the realisation 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 (GA) and by the classical Sinc method.

 

Keywords: global optimisation; semi-deterministic algorithms; SDAs; genetic algorithms; GAs; optical fibre devices; multiplexing; nanoscale technology; nanotechnology; multichannel optical filters; FBGs.

 

DOI: http://dx.doi.org/10.1504/IJCSE.2006.012769

 

Available online 14 Mar 2007

 

 

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