Photonic Device Design Using Multiobjective Evolutionary Algorithms

  • Steven Manos
  • Leon Poladian
  • Peter Bentley
  • Maryanne Large
Conference paper

DOI: 10.1007/978-3-540-31880-4_44

Part of the Lecture Notes in Computer Science book series (LNCS, volume 3410)
Cite this paper as:
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

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.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Steven Manos
    • 1
    • 2
  • Leon Poladian
    • 1
    • 3
  • Peter Bentley
    • 4
  • Maryanne Large
    • 1
  1. 1.Optical Fibre Technology CentreAustralian Photonics CRCEveleighAustralia
  2. 2.School of PhysicsUniversity of SydneyAustralia
  3. 3.School of Mathematics and StatisticsUniversity of SydneyAustralia
  4. 4.Department of Computer ScienceUniversity College LondonLondonUnited Kingdom

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