Re-evaluation of the optimal operating conditions for the primary end of an integrated steel plant using multi-objective genetic algorithms and Nash equilibrium

BM Hodge, Frank Pettersson, N Chakraborti

    Research output: Contribution to journalArticleScientificpeer-review

    8 Citations (Scopus)

    Abstract

    Some existing work on optimizing the operational cost of the primary end of an integrated steel plant containing two blast furnaces utilizing both pellets and sinters, an electric furnace and a basic oxygen furnace was further advanced using a multi-objective genetic algorithm, along with a Nash equilibrium analysis. The new formulation was able to improve the earlier results very significantly, suggesting the efficacy of the multi-objective approach over the more conventional single objective genetic algorithms.
    Original languageUndefined/Unknown
    Pages (from-to)459–461
    Number of pages3
    JournalSteel Research International
    Volume77
    Issue number7
    Publication statusPublished - 2006
    MoE publication typeA1 Journal article-refereed

    Keywords

    • genetic algorithms
    • ironmaking
    • multi-objective optimization
    • Nash equilibrium
    • Pareto front

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