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...

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Auteurs principaux: Matheus F. Torquato, German Martinez-Ayuso, Ashraf A. Fahmy, Johann Sienz
Format: article
Langue:EN
Publié: IEEE 2021
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Accès en ligne:https://doaj.org/article/41aff34d029947d8b8d4d0fe34e3b586
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