Share Email Print
cover

Proceedings Paper

Advantages of genetic algorithm optimization methods in diffractive optic design
Author(s): Eric G. Johnson; Alan D. Kathman; Diane H. Hochmuth; A. L. Cook; David Renick Brown; William F. Delaney
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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.

Paper Details

Date Published: 28 December 1993
PDF: 21 pages
Proc. SPIE 10271, Diffractive and Miniaturized Optics: A Critical Review, 1027105 (28 December 1993); doi: 10.1117/12.170193
Show Author Affiliations
Eric G. Johnson, Teledyne Brown Engineering (United States)
Alan D. Kathman, Teledyne Brown Engineering (United States)
Diane H. Hochmuth, Teledyne Brown Engineering (United States)
A. L. Cook, Teledyne Brown Engineering (United States)
David Renick Brown, Teledyne Brown Engineering (United States)
William F. Delaney, Digital Optics Corp (United States)


Published in SPIE Proceedings Vol. 10271:
Diffractive and Miniaturized Optics: A Critical Review
Sing H. Lee, Editor(s)

© SPIE. Terms of Use
Back to Top