Optimal Operating Conditions for the Primary End of an Integrated Steel Plant : Genetic Adaptive Search and Classical Techniques
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概要
- 論文の詳細を見る
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.
- 社団法人 日本鉄鋼協会の論文
- 1998-01-15
著者
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Deo B
Department Of Materials And Metallurgical Engineering Indian Institute Of Technology
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Deo Brahma
Department Of Materials And Metallurgical Engineering Indian Institute Of Technology
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DEB Kalyanmoy
Department of Mechanical Engineering, Indian Institute of Technology
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JHA Sushant
Department of Materials and Metallurgical Engineering, Indian Institute of Technology, Department of
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SUDHAKAR Veluru
Department of Materials and Metallurgical Engineering, Indian Institute of Technology, Graduate Stud
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SRIDHAR Nallamali
Department of Materials and Metallurgical Engineering, Indian Institute of Technology, Graduate Stud
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Deb Kalyanmoy
Department Of General Engineering University Of Illinois At Urbana-champaign
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Deb Kalyanmoy
Department Of Materials And Metallurgical Engineering Indian Institute Of Technology Department Of M
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Jha Sushant
Department Of Materials And Metallurgical Engineering Indian Institute Of Technology Department Of M
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Sridhar Nallamali
Department Of Materials And Metallurgical Engineering Indian Institute Of Technology Graduate Studen
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Sudhakar Veluru
Department Of Materials And Metallurgical Engineering Indian Institute Of Technology Graduate Studen
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