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Proceedings Paper

Self-learning optical system based on a genetic-algorithm driven spatial light modulator
Author(s): Scott D. Carpenter; Peter M. Weber; Janos Peter; Gabor Szabo; Tamas Szakacs; Andras Lorincz
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Paper Abstract

We demonstrate the applicability of a genetic algorithm (GA) to control the focus of an adaptive optical system using a liquid crystal spatial light modulator. The optical setup and the algorithm applied are set to fitness type reinforcement for learning. The particular GA developed optimizes the phase shifts in 32 independent pixels, and is biased towards approximating continuous functions that suit the focusing problem. The learning process is demonstrated to work reliably even in the presence of experimental noise.

Paper Details

Date Published: 14 July 1998
PDF: 5 pages
Proc. SPIE 3423, Second GR-I International Conference on New Laser Technologies and Applications, (14 July 1998); doi: 10.1117/12.316567
Show Author Affiliations
Scott D. Carpenter, Brown Univ. (United States)
Peter M. Weber, Brown Univ. (United States)
Janos Peter, Jozsef Attila Univ. (Hungary)
Gabor Szabo, Jozsef Attila Univ. (Hungary)
Tamas Szakacs, Institute of Isotopes (Hungary)
Andras Lorincz, Institute of Isotopes (Hungary)

Published in SPIE Proceedings Vol. 3423:
Second GR-I International Conference on New Laser Technologies and Applications
Alexis Carabelas; Paolo Di Lazzaro; Amalia Torre; Giuseppe Baldacchini, Editor(s)

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