Photonic device design using multiobjective evolutionary algorithms

被引:0
|
作者
Manos, S
Poladian, L
Bentley, P
Large, M
机构
[1] Australian Photon CRC, Opt Fibre Technol Ctr, Eveleigh, NSW 1430, Australia
[2] Univ Sydney, Sch Phys, Sydney, NSW 2006, Australia
[3] Univ Sydney, Sch Math & Stat, Sydney, NSW 2006, Australia
[4] UCL, Dept Comp Sci, London WC1E 6BT, England
来源
关键词
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
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.
引用
收藏
页码:636 / 650
页数:15
相关论文
共 50 条
  • [1] Multiobjective Optimization of an Induction Heating Device Using Evolutionary Algorithms
    Petrescu, Camelia
    Ferariu, Lavinia
    [J]. 2014 INTERNATIONAL CONFERENCE AND EXPOSITION ON ELECTRICAL AND POWER ENGINEERING (EPE), 2014, : 241 - 246
  • [2] Design of a TTC Antenna Using Simulation and Multiobjective Evolutionary Algorithms
    Moreno, Javier
    Gonzalez, Ivan
    Rodriguez, Daniel
    [J]. IEEE AEROSPACE AND ELECTRONIC SYSTEMS MAGAZINE, 2019, 34 (07) : 18 - 31
  • [3] Design of Constellations for GNSS Reflectometry Mission Using the Multiobjective Evolutionary Algorithms
    Xu, Xiaohua
    Ju, Zhanghai
    Luo, Jia
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 60
  • [4] Novel Fibre Bragg Grating design using multiobjective evolutionary algorithms
    Manos, S
    Poladian, L
    [J]. CEC: 2003 CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-4, PROCEEDINGS, 2003, : 2089 - 2095
  • [5] Design of Constellations for GNSS Reflectometry Mission Using the Multiobjective Evolutionary Algorithms
    Xu, Xiaohua
    Ju, Zhanghai
    Luo, Jia
    [J]. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60
  • [6] Multiobjective design optimization of electrostatic rotary microactuators using evolutionary algorithms
    Di Barba, Paolo
    Wiak, Slawomir
    [J]. ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING - ICAISC 2006, PROCEEDINGS, 2006, 4029 : 344 - 353
  • [7] Global Multiobjective Optimization Using Evolutionary Algorithms
    Thomas Hanne
    [J]. Journal of Heuristics, 2000, 6 : 347 - 360
  • [8] Design of electroceramic materials using artificial neural networks and multiobjective evolutionary algorithms
    Scott, D. J.
    Manos, S.
    Coveney, P. V.
    [J]. JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2008, 48 (02) : 262 - 273
  • [9] Multiobjective Groundwater Management Using Evolutionary Algorithms
    Siegfried, Tobias
    Bleuler, Stefan
    Laumanns, Marco
    Zitzler, Eckart
    Kinzelbach, Wolfgang
    [J]. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2009, 13 (02) : 229 - 242
  • [10] MOLeCS: Using multiobjective evolutionary algorithms for learning
    Mansilla, EBI
    Guiu, JMGI
    [J]. EVOLUTIONARY MULTI-CRITERION OPTIMIZATION, PROCEEDINGS, 2001, 1993 : 696 - 710