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- W4387527220 abstract "Swarm intelligence has been the research focus of optimization problems, but there is no specific description and comparison of the most suitable application dimensions and scenarios for the recent swarm intelligence optimization algorithm. In this paper, the newly emerging swarm intelligence optimization algorithm in recent years is selected for numerical simulation experiments, and qualitative and statistical analysis is carried out, and the optimal optimization algorithm in different dimensions and test set is obtained, which provides faster convergence speed and better convergence algorithm for parameter optimization researchers under different situations." @default.
- W4387527220 created "2023-10-12" @default.
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- W4387527220 date "2023-10-11" @default.
- W4387527220 modified "2023-10-12" @default.
- W4387527220 title "A comparative analysis of the new nearest swarm intelligent optimization algorithm for solving numerical problems" @default.
- W4387527220 doi "https://doi.org/10.1117/12.3004092" @default.
- W4387527220 hasPublicationYear "2023" @default.
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