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Parallel microgenetic algorithm design for photonic crystal and waveguide structures.

Jianhua Jiang1, Jingbo Cai, Gregory P Nordin

  • 1Laboratory for Integrated Computing and Optoelectronic Systems, University of Alabama in Huntsville, Huntsville, Alabama 35899, USA. jiangj@email.uah.edu

Optics Letters
|December 19, 2003
PubMed
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We created a parallel genetic algorithm tool to optimize photonic crystal and waveguide devices. This powerful design tool enhances the performance of photonic components like couplers and waveguide bends.

Area of Science:

  • Photonics
  • Computational Electromagnetics
  • Materials Science

Background:

  • Photonic devices require precise design for optimal performance.
  • Genetic algorithms offer a robust method for complex optimization problems.
  • Finite-difference time-domain (FDTD) methods are crucial for accurate electromagnetic simulations.

Purpose of the Study:

  • To develop and present a parallel genetic algorithm design tool for photonic crystal and waveguide structures.
  • To demonstrate the tool's capability in optimizing photonic device performance.
  • To showcase the application of the tool to specific photonic devices.

Main Methods:

  • Implementation of a microgenetic algorithm for global optimization.
  • Utilization of a two-dimensional finite-difference time-domain (2D FDTD) method for rigorous design.

Related Experiment Videos

  • Parallel processing for enhanced computational efficiency.

    • Main Results:

    • Successful development of a powerful parallel genetic algorithm design tool.
    • Demonstration of the tool's effectiveness in optimizing photonic devices.
    • Application to designing a defect taper coupler and a 90-degree waveguide bend.

    Conclusions:

    • The developed design tool provides an efficient and powerful approach for optimizing photonic crystal and waveguide structures.
    • The tool successfully addresses the design challenges for specific photonic devices, including couplers and waveguide bends.
    • This computational approach holds significant promise for advancing photonic device design and fabrication.