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Journal of Combinatorial Optimization

Erschienen in:

01.07.2023

RETRACTED ARTICLE: Combinatorial optimization analysis of the production process of C4 olefins from ethanol based on the PSO–BP algorithm

verfasst von: Ze-Hua He

Erschienen in: Journal of Combinatorial Optimization | Ausgabe 5/2023

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Abstract

The main objective of this study was to optimize the design of a production process for the preparation of C4 olefins from ethanol. Firstly, the data were preprocessed to investigate the association between temperature, ethanol conversion, and C4 olefin selectivity for various catalyst combinations using polynomial fitting methods based on data distribution patterns. Secondly, SVM regression, Gaussian process regression, and BP neural network regression models were used to investigate and select the best models for ethanol conversion and C4 olefin yield for different catalyst combinations and temperatures. Finally, neural network and particle swarm optimization algorithms were used to derive the optimal catalyst combination and temperature to maximize C4 olefin yield. The use of neural networks and particle swarm optimization algorithms proved to be effective in optimizing the reaction conditions for the production of C4 olefins from ethanol.

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Titel: RETRACTED ARTICLE: Combinatorial optimization analysis of the production process of C4 olefins from ethanol based on the PSO–BP algorithm
verfasst von: Ze-Hua He
Publikationsdatum: 01.07.2023
Verlag: Springer US
Erschienen in: Journal of Combinatorial Optimization / Ausgabe 5/2023
Print ISSN: 1382-6905
Elektronische ISSN: 1573-2886
DOI: https://doi.org/10.1007/s10878-023-01062-1

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