Population Forecast of China’s Rural Community Based on CFANGBM and Improved Aquila Optimizer Algorithm

Population Forecast of China’s Rural Community Based on CFANGBM and Improved Aquila Optimizer Algorithm

Rural community population forecasting has important guiding significance to rural construction and development. In this study, a novel grey Bernoulli model combined with an improved Aquila Optimizer (IAO) was used to forecast rural community population in China. Firstly, this study improved the Aqu...

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Bibliographic Details
Main Authors: Lin Ma, Jun Li, Ye Zhao
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Fractal and Fractional
Subjects:
rural population forecasting
Aquila Optimizer
quasi-opposition learning strategy
wavelet mutation strategy
CFANGBM(1, 1, <i>b</i>, <i>c</i>)
Online Access:https://www.mdpi.com/2504-3110/5/4/190

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https://www.mdpi.com/2504-3110/5/4/190

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