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Ironmaking & Steelmaking
Processes, Products and Applications
Volume 32, 2005 - Issue 5
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New age process optimisation

Genetic algorithms in these changing steel times

Pages 401-404 | Published online: 18 Jul 2013

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Read on this site (7)

Tamoghna Mitra & Henrik Saxén. (2015) Evolution of Charging Programs for Achieving Required Gas Temperature Profile in a Blast Furnace. Materials and Manufacturing Processes 30:4, pages 474-487.
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Y. Y. Zhai, Y. Li, B. Y. Ma, C. Yan & Z. Y. Jiang. (2015) The optimisation of the secondary cooling water distribution with improved genetic algorithm in continuous casting of steels. Materials Research Innovations 19:sup1, pages S1-26-S1-31.
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Kishalay Mitra, Sushanta Majumder & Venkataramana Runkana. (2009) Multiobjective Pareto Optimization of an Industrial Straight Grate Iron Ore Induration Process Using an Evolutionary Algorithm. Materials and Manufacturing Processes 24:3, pages 331-342.
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Wojciech Paszkowicz. (2009) Genetic Algorithms, a Nature-Inspired Tool: Survey of Applications in Materials Science and Related Fields. Materials and Manufacturing Processes 24:2, pages 174-197.
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SatyamS. Sahay, Rajesh Mehta & Karthik Krishnan. (2007) Genetic-Algorithm-Based Optimization of an Industrial Age-Hardening Operation for Packed Bundles of Aluminum Rods. Materials and Manufacturing Processes 22:5, pages 615-622.
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Articles from other publishers (4)

Maged R. Rostom, Ashraf O. Nassef & Sayed M. Metwalli. (2014) 3D overlapped grouping Ga for optimum 2D guillotine cutting stock problem. Alexandria Engineering Journal 53:3, pages 491-503.
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Kishalay Mitra & Sushanta Majumder. (2011) Successive approximate model based multi-objective optimization for an industrial straight grate iron ore induration process using evolutionary algorithm. Chemical Engineering Science 66:15, pages 3471-3481.
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Amit Kumar, Suman Chakraborty & Nirupam Chakraborti. (2007) Fluid Flow in a Tundish Optimized through Genetic Algorithms. steel research international 78:7, pages 517-521.
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S. Tiwari & N. Chakraborti. (2006) Multi-objective optimization of a two-dimensional cutting problem using genetic algorithms. Journal of Materials Processing Technology 173:3, pages 384-393.
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