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

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    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
    Issue number7
    Publication statusPublished - 2006
    MoE publication typeA1 Journal article-refereed


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

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