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Hybrid algorithm based on the grey wolf optimizer and direct binary search for the efficient design of a mosaic-based device

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Abstract

We propose a novel hybrid algorithm based on the grey wolf optimizer (GWO) and direct binary search (DBS) for the design of mosaic-based devices. The DBS algorithm leads to the local optimum structure, and the design results are changed for each trial. Thus, we need to implement the DBS design hundreds of times to find a high-performance mosaic-based device, resulting in huge computer resources and calculation time. To resolve the problem and search for a better solution, the GWO is combined with the DBS. The average and best performances of the designed devices are better by 0.5 and 1.6 points when compared with those designed by the DBS.

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Data underlying the results presented in this paper are not publicly available at this time but may be obtained from the authors upon reasonable request.

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