Optimizing boiler combustion parameters based on evolution teaching-learning-based optimization algorithm for reducing NO<sub>x</sub> emission concentration.

Ma, Yunpeng; Liu, Shilin; Gao, Shan; Xu, Chenheng; Guo, Wenbo

Optimizing boiler combustion parameters based on evolution teaching-learning-based optimization algorithm for reducing NO_x emission concentration.

Ma, Yunpeng; Liu, Shilin; Gao, Shan; Xu, Chenheng; Guo, Wenbo.

Afiliación

Ma Y; School of Information Engineering, Tianjin University of Commerce, Tianjin, China.
Liu S; School of Information Engineering, Tianjin University of Commerce, Tianjin, China.
Gao S; School of Information Engineering, Tianjin University of Commerce, Tianjin, China.
Xu C; School of Economics, Tianjin University of Commerce, Tianjin, China.
Guo W; School of Information Engineering, Tianjin University of Commerce, Tianjin, China.

Math Biosci Eng ; 20(11): 20317-20344, 2023 Nov 08.

Article en En | MEDLINE | ID: mdl-38052647

Palabras clave

boiler combustion optimization; evolution computation; extreme learning machine; model; optimization; teaching-learning-based optimization algorithm

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Math Biosci Eng Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos

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