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Optics Express

Optics Express

  • Editor: C. Martijn de Sterke
  • Vol. 17, Iss. 12 — Jun. 8, 2009
  • pp: 10177–10188

Study of optimization of an LCD light guide plate with neural network and genetic algorithm

Chen-Jung Li, Yi-Chin Fang, and Ming-Chia Cheng  »View Author Affiliations


Optics Express, Vol. 17, Issue 12, pp. 10177-10188 (2009)
http://dx.doi.org/10.1364/OE.17.010177


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Abstract

This paper proposes an optimization method for designing a prism-pattern LCD light guide plate (LGP) using a neural-network optical model and a real-valued genetic algorithm to achieve excellent luminance uniformity in the exiting light. This newly developed method is proposed as a way of solving the complicated optimization work for non-image optics due to the numbers of ray tracing. First, a neural-network optical model is based on a back-propagation neural network. Then the neural-network optical model is incorporated into a real-valued genetic algorithm to optimize the distribution density of the prism pattern. The results show that the 13-point luminance uniformity reaches an outstanding 92.09%.

© 2009 OSA

OCIS Codes
(220.0220) Optical design and fabrication : Optical design and fabrication
(220.2945) Optical design and fabrication : Illumination design

ToC Category:
Optical Design and Fabrication

History
Original Manuscript: March 24, 2009
Revised Manuscript: May 10, 2009
Manuscript Accepted: May 22, 2009
Published: June 3, 2009

Citation
Chen-Jung Li, Yi-Chin Fang, and Ming-Chia Cheng, "Study of optimization of an LCD light guide plate with neural network and genetic algorithm," Opt. Express 17, 10177-10188 (2009)
http://www.opticsinfobase.org/oe/abstract.cfm?URI=oe-17-12-10177


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References

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