Photonic device design using multiobjective evolutionary algorithms

  • Authors:
  • Steven Manos;Leon Poladian;Peter Bentley;Maryanne Large

  • Affiliations:
  • Optical Fibre Technology Centre, Australian Photonics CRC, Eveleigh, NSW, Australia;Optical Fibre Technology Centre, Australian Photonics CRC, Eveleigh, NSW, Australia;Department of Computer Science, University College London, London, United Kingdom;Optical Fibre Technology Centre, Australian Photonics CRC, Eveleigh, NSW, Australia

  • Venue:
  • EMO'05 Proceedings of the Third international conference on Evolutionary Multi-Criterion Optimization
  • Year:
  • 2005

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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.