Multi-objective optimization for GRIN lens design

One of the benefits of using a multi-objective algorithm is that the tradeoffs between objectives for a given design can be easily visualized. In the study of gradient-index optics, this ability can lead to a better understanding of the tradeoffs between the gradient magnitude, Δ_n, focus quality, and size of the optic. A gradient-index plano-convex lens is proposed to highlight the limitations of a single- objective optimization while the potential of using multi-objective optimization for chromatic- and oblique incidence-corrections are also discussed.