Improvement of Filed Curvature Aberration in a Projector Lens by Using Hybrid Genetic Algorithm With Damped Least Square Optimization

This paper improves the filed curvature aberration (FCA) in a projector lens by using a hybrid genetic algorithm (GA) with damped least square (DLS) optimization. A modern projector lens still exposes its rays on a large flat screen to form the image, with the result that the FCA is one of the key aberrations dominating the image quality. Most commercial optical software applies the DLS optimization focus on the minimum spot size to optimize the lens, simultaneously making the FCA hard to improve. Merging the GA optimization can involve the FCA in the optimization process. As a result, using the hybrid GA with DLS optimization not only effectively suppresses the FCA but also remarkably enhances the image resolution in a projector lens design.