Research on Blast Furnace Ingredient Optimization Based on Improved Grey Wolf Optimization Algorithm

Blast furnace ironmaking plays an important role in modern industry and the development of the economy. A reasonable ingredient scheme is crucial for energy efficiency and emission reduction in blast furnace production. Determining the right blast furnace ingredients is a complicated process; theref...

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Veröffentlicht in:	Metals (Basel ) Jg. 14; H. 7; S. 798
Hauptverfasser:	Liu, Ran, Gao, Zi-Yang, Li, Hong-Yang, Liu, Xiao-Jie, Lv, Qing
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.07.2024
Schlagworte:	Accuracy Algorithms blast furnace ingredients By products Carbon Carbon dioxide Coke fired furnaces Efficiency Emissions control Energy consumption Equilibrium equations Genetic algorithms grey wolf optimization algorithm Industrial development Ingredients Iron and steel industry Iron and steel plants Ironmaking Metallurgy multi-objective optimization Multiple objective analysis Optimization Process parameters Product quality Production costs single-objective optimization Steel production Support vector machines Variables
ISSN:	2075-4701, 2075-4701
Online-Zugang:	Volltext
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