Abstrakti
Charging programs giving rise to desired burden and gas distributions in the ironmaking blast furnace were detected through an evolutionary multi-objective optimization strategy. The Pareto optimality condition traditionally used in such studies was substituted by a recently developed k-optimality criterion that allowed for simultaneous optimization of a large number of objectives, leading to a significant improvement over the results of earlier studies. A large number of optimum charging strategies were identified through this procedure and thoroughly analyzed, in view of an efficient blast furnace operation.
Alkuperäiskieli | Ei tiedossa |
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Sivut | 1179–1188 |
Julkaisu | Materials and Manufacturing Processes |
Vuosikerta | 32 |
Numero | 10 |
DOI - pysyväislinkit | |
Tila | Julkaistu - 2017 |
OKM-julkaisutyyppi | A1 Julkaistu artikkeli, soviteltu |