Use global and multi-objective optimization methods to optical CAD

The new lens optimization methods based on real-coded genetic algorithms(GAs) are presented.GA’s capability of global optimization and multi-objective optimization are taken advantage against two serious problems in conventional lens optimization techniques: Choosing a starting point by trial and error,and combining plural criteria to a single criterion.To overcome a problem of the difficulty in generating feasible lenses especially in large-scale problems,an enforcement operator is introduced to modify an infeasible solution into a feasible one.By applying the proposed method to some small-scale problems,the proposed method can find empirically optimal and suboptimal lenses.The proposed method is also applied to some relatively large-scale problems and can effectively work under large-scale problems.Next,the effectiveness of the proposed method in multi-objective lens optimization is shown by applying it to a three-element lens design problem.