2024
DOI: 10.1364/josab.541728
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Topology optimization of metagratings using the advanced slime mold algorithm combined with a gradient-based method: the chimera of uniqueness of the optimal solution

K. Edee,
G. Granet

Abstract: In this paper, we discuss the use of a metaheuristic (MH) gradient-free optimization method, specifically, the slime mold algorithm (SMA), combined with a gradient-based method to topologically optimize metagratings. In the proposed method, the gradient-based optimization method is applied to a set of initial geometries with only a few iterations. Then, the resulting pre-refined set of designs is used to initialize an enhanced version of the SMA. At the end of each iteration, the gradient of the figure of meri… Show more

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