Performance prediction and optimization of hydrogenation feed pump based on particle swarm optimization – least squares support vector regression surrogate model

Due to high power consumption and low energy efficiency of the hydrogenation feed multistage pump, conducting structural optimization design and reducing energy losses for this pump is necessary. In this study, an optimization method based on the particle swarm optimization (PSO) algorithm and least...

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Bibliografiske detaljer

Principais autores:	Yanpi Lin, Liang Li, Shunyin Yang, Xiaoguang Chen, Xiaojun Li, Zuchao Zhu
Format:	Artigo
Sprog:	Inglês
Udgivet:	Taylor & Francis Group 2024-12-01
Serier:	Engineering Applications of Computational Fluid Mechanics
Fag:	Hydraulic optimization support vector regression least squares method particle swarm optimization energy consumption
Online adgang:	https://www.tandfonline.com/doi/10.1080/19942060.2024.2315985
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