Advantages of genetic algorithm optimization methods in diffractive optic design

Eric G. Johnson; Alan D. Kathman; Diane H. Hochmuth; A. L. Cook; David Renick Brown; William F. Delaney

doi:10.1117/12.170193

28 December 1993 Advantages of genetic algorithm optimization methods in diffractive optic design

Eric G. Johnson, Alan D. Kathman, Diane H. Hochmuth, A. L. Cook, David Renick Brown, William F. Delaney

Proceedings Volume 10271, Diffractive and Miniaturized Optics: A Critical Review; 1027105 (1993) https://doi.org/10.1117/12.170193
Event: SPIE's 1993 International Symposium on Optics, Imaging, and Instrumentation, 1993, San Diego, CA, United States

Abstract

New systems are being developed around innovative diffractive optical components. Applications in optical interconnects, signal switching and interferometry have created a need for two-dimensional optical fanout gratings as well as complex Diffractive Optical Elements (DOE). The increasingly complex components being designed for such optical devices require specialized optimization algorithms to achieve desired performance. In this paper, we demonstrate the optimization of 1:K fanout gratings and symmetrical DOE's in a highly dimensional solution space using genetic algorithms (GA). Analytic results are presented for the optimization of an interconnect grating using different GA parameters to analyze the algorithm convergence. By means of these examples, we present design techniques for fanout gratings, radially symmetric DOE's, and polarization sensitive components.

Citation Download Citation

Eric G. Johnson, Alan D. Kathman, Diane H. Hochmuth, A. L. Cook, David Renick Brown, and William F. Delaney "Advantages of genetic algorithm optimization methods in diffractive optic design", Proc. SPIE 10271, Diffractive and Miniaturized Optics: A Critical Review, 1027105 (28 December 1993); https://doi.org/10.1117/12.170193

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