Case-based reasoning
An Evolutionary Design for f-theta Lenses
PPSN IV Proceedings of the 4th International Conference on Parallel Problem Solving from Nature
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The current approach to optical lens design still relies very much on the lens designers' experience and knowledge. In the initial lens design, it is normally performed by lens designers and then is optimised by using some optimisation techniques. This research aims to design and develop a computer-aided optical lens design system for automating the entire design process. In this paper, various approaches to optical lens design are briefly reviewed first. It is then followed by the descriptions of a hybrid artificial intelligence (AI) approach, based on the case based reasoning and genetic algorithm, to optical lens design. A prototype optical lens design system based on the hybrid approach was proposed and developed. The system not only could generate an initial and optimal optical lens design automatically but also demonstrate that the design could be done in lean knowledge paradigm.