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C.M. Fonseca, P.J. Fleming
Multiobjective optimisation
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P.A. Krug, L. Poladian, M.I. Large
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D. Gloge
Weakly guiding fibres
Jinn-Moon Yang, Cheng-Yan Kao (2001)
An evolutionary algorithm for the synthesis of multilayer coatings at oblique light incidenceJournal of Lightwave Technology, 19
H. Schwefel (1995)
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S. Han, I. Muta, T. Hoshino, T. Nakamura
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Thomas Bäck (1996)
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G.P. Agrawal
Fibre‐optic Communications Systems
L. Poladian, N. Issa, T. Monro (2002)
Fourier decomposition algorithm for leaky modes of fibres with arbitrary geometry.Optics express, 10 10
W. Hong‐jian, G. Ben‐qing, L. Rui‐xiang, F. Bin
The application of genetic algorithms (GAs) to the design of the waveguide slotted array
The design of optical fibres for applications where many performance targets have to be met simultaneously is a non‐trivial process. An evolutionary strategy (ES) combined with an algorithm to model the appropriate fibre parameters was used to design an optical fibre suitable for long haul high bandwidth communications. The ES code was developed using an object oriented approach and a parallel version was also incorporated. This allowed for the rapid implementation and subsequent design of fibres with properties of interest. Design constraints arising from the fibre manufacturing process were incorporated.
Engineering Computations: International Journal for Computer-Aided Engineering and Software – Emerald Publishing
Published: Sep 1, 2004
Keywords: Optical properties of materials; Fibre optic sensors; Optimization techniques
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