Multi-Objective Optimization of Electric Arc Furnace Using the Non-Dominated Sorting Genetic Algorithm II
Combining classical technologies with modern intelligent algorithms, this paper introduces a new approach for the optimisation and modelling of the EAF-based steel-making process based on a multi-objective optimisation using evolutionary computing and machine learning. Using a large amount of real-w...
Guardado en:
Autores principales: | Matheus F. Torquato, German Martinez-Ayuso, Ashraf A. Fahmy, Johann Sienz |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
IEEE
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/41aff34d029947d8b8d4d0fe34e3b586 |
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