Optical metasurfaces are one of the most studied objects in the field of electromagnetism. However, designing optical metasurfaces to meet the desired transfer function is still very challenging. Genetic Algorithm (GA) is an optimization algorithm that simulates the process of inheritance and evolution of organisms in their natural environment. It’s able to perform crossover, mutation, evolution and other operations on many of these gene fragments and ultimately obtain the optimal genetic outcome. In this paper, the structural parameters are optimized by the transfer matrix method in combination with a genetic algorithm to achieve a nonlocal transfer function. As an example, we optimize the multilayer slabs to match the ideal second order differential transfer function and the simulation results confirm the computational capabilities of the device.
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