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Optical Engineering

Design and optimization of optical components using genetic algorithms
Author(s): Steven Boxwell; Shaw G. Fox; Juan F. Román
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Paper Abstract

Genetic algorithms are applied to the design optimization of a lightguide. Physically impossible offspring generated by the genetic algorithm evolution are removed by a simple logical test before further iterations. The performance of the lightguide and the evolution of the design are measured by a single criterion combining both uniformity of illumination and brightness. The process produces a nonintuitive solution, and experimental results match the theoretical predictions and show an improvement in performance of the final design.

Paper Details

Date Published: 1 July 2004
PDF: 4 pages
Opt. Eng. 43(7) doi: 10.1117/1.1756164
Published in: Optical Engineering Volume 43, Issue 7
Show Author Affiliations
Steven Boxwell, Bayer Diagnostics (United Kingdom)
Shaw G. Fox, Bayer Diagnostics (United Kingdom)
Juan F. Román, Bayer Diagnostics (United Kingdom)


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