Optimal Operating Conditions for the Primary End of an Integrated Steel Plant : Genetic Adaptive Search and Classical Techniques

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著者

    • DEO Brahma
    • Department of Materials and Metallurgical Engineering, Indian Institute of Technology
    • DEB Kalyanmoy
    • Department of Materials and Metallurgical Engineering, Indian Institute of Technology, Department of Mechanical Engineering, Indian Institute of Technology
    • JHA Sushant
    • Department of Materials and Metallurgical Engineering, Indian Institute of Technology, Department of Mechanical Engineering, Indian Institute of Technology
    • SUDHAKAR Veluru
    • Department of Materials and Metallurgical Engineering, Indian Institute of Technology, Graduate Student, Department of Materials and Metallurgical Engineering, Indian Institute of Technology
    • SRIDHAR Nallamali Venkat
    • Department of Materials and Metallurgical Engineering, Indian Institute of Technology, Graduate Student, Department of Materials and Metallurgical Engineering, Indian Institute of Technology

抄録

The optimal operating conditions for the primary end of an integrated steel plant, which essentially comprises of sintering plant, pelletizing plant, blast furnaces, oxygen steelmaking converters and electric arc furnace, are found through a modern technique of optimization, namely, genetic adaptive search (GAS), and also through classical techniques of simplex search with simulated annealing (ASM) and sequential quadratic programming (SQP). A comparison of these techniques shows that GAS outperforms both the classical methods and obtains the lowest cost solution. Based on this study, it is recommended that GAS be used, in preference to other methods, in complex steel plant optimization problems.

収録刊行物

  • ISIJ international

    ISIJ international 38(1), 98-105, 1998-01-15

    The Iron and Steel Institute of Japan

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