Parallel microgenetic algorithm design for photonic crystal and waveguide structures
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Published on: September 26, 2014
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
Abstract:
We have developed a powerful parallel genetic algorithm design tool for photonic crystal and waveguide structures. The tool employs a small-population-size genetic algorithm (microgenetic algorithm) for global optimization and a two-dimensional finite-difference time-domain method to rigorously design and optimize the performance of photonic devices. We discuss the implementation and performance of this design tool. We demonstrate its application to two photonic devices, a defect taper coupler to connect conventional waveguides and photonic crystal waveguides, and a sharp 90 degrees waveguide bend for low index contrast waveguides.

