Abstract
The optimization and design of two different types of photonic devices – a Fibre Bragg Grating and a Microstructured Polymer Optical Fibre is presented in light of multiple conflicting objectives in both problems. The fibre grating optimization uses a fixed length real valued representation, requiring the simultaneous optimization of four objectives along with variable bounds and a single objective constraint. This led to the human selection of a Pareto-optimal design which was manufactured. The microstructured fibre design process employs a new binary encoded variable length representation. An external embryogeny, or growth process is used to guarantee the creative generation of these complex designs which are automatically valid with respect to manufacturing constraints. Some initial results are presented for the case of two objectives which relate to the bandwidth and signal loss of a design.
Keywords
- Fibre Bragg Grating
- Multiobjective Evolutionary Algorithm
- Minimum Wall Thickness
- Simulated Binary Crossover
- Fibre Bragg Grating Spectrum
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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© 2005 Springer-Verlag Berlin Heidelberg
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Manos, S., Poladian, L., Bentley, P., Large, M. (2005). Photonic Device Design Using Multiobjective Evolutionary Algorithms. In: Coello Coello, C.A., Hernández Aguirre, A., Zitzler, E. (eds) Evolutionary Multi-Criterion Optimization. EMO 2005. Lecture Notes in Computer Science, vol 3410. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-31880-4_44
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DOI: https://doi.org/10.1007/978-3-540-31880-4_44
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-24983-2
Online ISBN: 978-3-540-31880-4
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