Optimization of computer-generated binary holograms using genetic algorithms

Dan Cojoc; Adrian Alexandrescu

doi:10.1117/12.370408

18 November 1999 Optimization of computer-generated binary holograms using genetic algorithms

Dan Cojoc, Adrian Alexandrescu

Proceedings Volume 3904, Fourth International Conference on Correlation Optics; (1999) https://doi.org/10.1117/12.370408
Event: International Conference on Correlation Optics, 1999, Chernivsti, Ukraine

Abstract

The aim of this paper is to compare genetic algorithms against direct point oriented coding in the design of binary phase Fourier holograms, computer generated. These are used as fan-out elements for free space optical interconnection. Genetic algorithms are optimization methods which model the natural process of genetic evolution. The configuration of the hologram is encoded to form a chromosome. To start the optimization, a population of different chromosomes randomly generated is considered. The chromosomes compete, mate and mutate until the best chromosome is obtained according to a cost function. After explaining the operators that are used by genetic algorithms, this paper presents two examples with 32 X 32 genes in a chromosome. The crossover type and the number of mutations are shown to be important factors which influence the convergence of the algorithm. GA is demonstrated to be a useful tool to design namely binary phase holograms of complicate structures.

Citation Download Citation

Dan Cojoc and Adrian Alexandrescu "Optimization of computer-generated binary holograms using genetic algorithms", Proc. SPIE 3904, Fourth International Conference on Correlation Optics, (18 November 1999); https://doi.org/10.1117/12.370408

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