Improved genetic algorithm for optimization of binary phase holograms

The-Anh Nguyen; Jun-Won An; Jae-Kwang Choi; Nam Kim

doi:10.1117/12.528784

25 June 2004 Improved genetic algorithm for optimization of binary phase holograms

The-Anh Nguyen, Jun-Won An, Jae-Kwang Choi, Nam Kim

Proceedings Volume 5363, Emerging Optoelectronic Applications; (2004) https://doi.org/10.1117/12.528784
Event: Integrated Optoelectronic Devices 2004, 2004, San Jose, CA, United States

Abstract

In order to reduce the computation time, a new approach for designing computer-generated holograms is proposed. In this new method, we utilize artificial neural network to initiate the genetic algorithm so that the high computation cost of genetic algorithm for synthesizing holograms is significantly reduced while the high diffraction efficiency and uniformity are still ensured. Designed binary phase holograms have the diffraction efficiency of 75.8% and uniformity of 5.8%, which are proven in computer simulation and experimentally demonstrated.

Citation Download Citation

The-Anh Nguyen, Jun-Won An, Jae-Kwang Choi, and Nam Kim "Improved genetic algorithm for optimization of binary phase holograms", Proc. SPIE 5363, Emerging Optoelectronic Applications, (25 June 2004); https://doi.org/10.1117/12.528784

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