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- W4385304370 abstract "In this paper, an improved binary brain storm optimization (ImBBSO) method is presented for pattern synthesis of linear thinned array. To avoid local convergence and obtain the global optimum, on the basic of the original binary brain storm optimization (BBSO) algorithm, the designed method mainly modifies three aspects, containing the clustering centers selection, the forced bit transposition mechanism and the survival of population. The interaction of these three operations drives optimization variables to move toward a better direction. During optimization process, the formulated cost function balances the relationship among the number of active elements, the peak sidelobe level and the half power beam width, which are eventually in the best balance state after completing iterations. Besides, the subarray partition strategy is also integrated into the proposed optimization framework with slight amendments, which can be applied in many engineering fields with space restrictions. Finally, several numerical examples demonstrate the effectiveness and applicability of the proposed method compared with other existing results of state-of-the-art methods, whether in benchmarking functions or linear array application." @default.
- W4385304370 created "2023-07-28" @default.
- W4385304370 creator A5073666993 @default.
- W4385304370 date "2023-10-01" @default.
- W4385304370 modified "2023-09-27" @default.
- W4385304370 title "Synthesis of linear thinned array based on improved binary brain storm optimization" @default.
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- W4385304370 doi "https://doi.org/10.1016/j.aeue.2023.154831" @default.
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