Restricted evolution based multimodal function optimization in holographic grating design

Interest in multimodal function optimization is expanding rapidly since real-world optimization problems often require location of multiple optima in searching space. The concept of restricted evolution is introduced to provide multiple optima. Combined with a simple evolution strategy, restricted evolution method can provide multiple solutions with low time consumption. Consequent local search based on the found solutions improves accuracy of optimization. The proposed method is applied to practical design of varied-line-spacing holographic gratings. Optimization results show the efficiency and usefulness of this method