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Two-stage genetic algorithm optimization of a freeform prism AR system design
Abstract:
We present a genetic algorithm (GA) method for freeform prism AR system design. Conventional design usually requires multiple stages, including initial structure search and iterative optimization with carefully selected aspheric equations, variables, and merit-function weights for aberrations and constraints. To speed up initial design, we adopted a two-stage optimization process. In the first stage, a ray-tracing structure was found and roughly optimized using GA. In the second stage, a multi-objective GA was applied to improve image quality. The process was implemented in MATLAB, and the routine was tested and verified through simulation results.
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