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Ironmaking & Steelmaking
Processes, Products and Applications
Volume 37, 2010 - Issue 5
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Articles

Analysing blast furnace data using evolutionary neural network and multiobjective genetic algorithms

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Pages 353-359 | Published online: 18 Jul 2013

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Shubham Singhal, Apurva Sijaria, Venkatesh Pai, Amlan Dutta & Nirupam Chakraborti. (2020) Atomistic simulation and evolutionary optimization of Fe-Cr nanoparticles. Materials and Manufacturing Processes 35:6, pages 652-657.
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Bashista Kumar Mahanta & Nirupam Chakraborti. (2020) Tri-objective optimization of noisy dataset in blast furnace iron-making process using evolutionary algorithms. Materials and Manufacturing Processes 35:6, pages 677-686.
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D. D. Zhou, S. S. Cheng, Y. S. Wang & X. Jiang. (2017) The production and development of large blast furnaces in China during 2015. Ironmaking & Steelmaking 44:5, pages 351-358.
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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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Krishnaswamy Hariharan, Ngoc-Trung Nguyen, Nirupam Chakraborti, Frédéric Barlat & Myoung-Gyu Lee. (2015) Determination of Anisotropic Yield Coefficients by a Data-Driven Multiobjective Evolutionary and Genetic Algorithm. Materials and Manufacturing Processes 30:4, pages 403-413.
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A. Sanz-García, J. Fernández-Ceniceros, R. Fernández-Martínez & F. J. Martínez-de-Pisón. (2014) Methodology based on genetic optimisation to develop overall parsimony models for predicting temperature settings on annealing furnace. Ironmaking & Steelmaking 41:2, pages 87-98.
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Ansul Bansal, Ajitesh Barman, Sudipto Ghosh & Nirupam Chakraborti. (2013) Designing Cu-Zr Glass Using Multiobjective Genetic Algorithm and Evolutionary Neural Network Metamodels–Based Classical Molecular Dynamics Simulation. Materials and Manufacturing Processes 28:7, pages 733-740.
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Brijesh Kumar Giri, Frank Pettersson, Henrik Saxén & Nirupam Chakraborti. (2013) Genetic Programming Evolved through Bi-Objective Genetic Algorithms Applied to a Blast Furnace. Materials and Manufacturing Processes 28:7, pages 776-782.
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Wojciech Paszkowicz. (2013) Genetic Algorithms, a Nature-Inspired Tool: A Survey of Applications in Materials Science and Related Fields: Part II. Materials and Manufacturing Processes 28:7, pages 708-725.
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Kishalay Mitra. (2013) Evolutionary Surrogate Optimization of an Industrial Sintering Process. Materials and Manufacturing Processes 28:7, pages 768-775.
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Arijit Biswas, Ogier Maitre, Debanga Nandan Mondal, Syamal Kanti Das, Prodip Kumar Sen, Pierre Collet & Nirupam Chakraborti. (2011) Data-Driven Multiobjective Analysis of Manganese Leaching from Low Grade Sources Using Genetic Algorithms, Genetic Programming, and Other Allied Strategies. Materials and Manufacturing Processes 26:3, pages 415-430.
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Articles from other publishers (24)

Bashista Kumar Mahanta, Prakash Gupta, Itishree Mohanty, Tapas Kumar Roy & Nirupam Chakraborti. (2023) Evolutionary data driven modeling and tri-objective optimization for noisy BOF steel making data. Digital Chemical Engineering 7, pages 100094.
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Yanjiao Li, Jie Zhang, Sen Zhang & Wendong Xiao. (2022) Dual ensemble online modeling for dynamic estimation of hot metal silicon content in blast furnace system. ISA Transactions 128, pages 686-697.
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Bashista Kumar Mahanta, Rajesh Jha & Nirupam Chakraborti. 2022. Machine Learning in Industry. Machine Learning in Industry 47 81 .
Manish Kumar Singh, Chandan Halder, Saurabh Dixit & Snehanshu Pal. (2021) Correlation and Optimization of Phosphorous Content in Liquid Steel with Turndown Temperature and FeO Content in Slag for Steel Making by LD Converter by Implementing Multi-Objective Evolutionary and Genetic Algorithms. Transactions of the Indian Institute of Metals 74:11, pages 2787-2799.
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Marcio Salles Melo LimaEnes Eryarsoy & Dursun Delen. (2021) Predicting and Explaining Pig Iron Production on Charcoal Blast Furnaces: A Machine Learning Approach. INFORMS Journal on Applied Analytics 51:3, pages 213-235.
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Stefan Stein, Chenlei Leng, Steve Thornton & Michel Randrianandrasana. (2021) A guided analytics tool for feature selection in steel manufacturing with an application to blast furnace top gas efficiency. Computational Materials Science 186, pages 110053.
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Ping Zhou, Wenpeng Li, Hong Wang, Mingjie Li & Tianyou Chai. (2020) Robust Online Sequential RVFLNs for Data Modeling of Dynamic Time-Varying Systems With Application of an Ironmaking Blast Furnace. IEEE Transactions on Cybernetics 50:11, pages 4783-4795.
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Bashista Kumar Mahanta & Nirupam Chakraboti. 2019. Optimization in Industry. Optimization in Industry 211 252 .
Bashista Kumar Mahanta & Nirupam Chakraborti. (2018) Evolutionary Data Driven Modeling and Multi Objective Optimization of Noisy Data Set in Blast Furnace Iron Making Process. steel research international 89:9, pages 1800121.
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Debanjana Bhattacharyya, Prabodh Ranjan Padhee, Prabir Kumar Das, Chandan Halder & Snehanshu Pal. (2018) Data-Driven Bi-Objective Genetic Algorithms EvoNN Applied to Optimize Dephosphorization Process during Secondary Steel Making Operation for Producing LPG (Liquid Petroleum Gas Cylinder) Grade of Steel. steel research international 89:8, pages 1800095.
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Kexin Zhang, Min Wu & Jianqi An. (2018) An Intelligent Selection Strategy for Burden Distribution Based on Classification of Blast Furnace Condition. An Intelligent Selection Strategy for Burden Distribution Based on Classification of Blast Furnace Condition.
Snehanshu Pal & Chandan Halder. (2017) Optimization of Phosphorous in Steel Produced by Basic Oxygen Steel Making Process Using Multi-Objective Evolutionary and Genetic Algorithms. steel research international 88:3, pages 1600193.
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Rajeev Kumar Sahu, Chandan Halder & Prodip Kumar Sen. (2016) Optimization of Top Gas Recycle Blast Furnace Emissions with Implications of Downstream Energy. steel research international 87:9, pages 1190-1202.
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Kailu Lu, Fei Qiao & Yumin Ma. (2015) An integrated prediction model of sinter comprehensive performance. An integrated prediction model of sinter comprehensive performance.
Tian Huixin & Yao Jiaxin. (2015) A novel improved data-driven subspace algorithm for power load forecasting in iron and steel enterprise. A novel improved data-driven subspace algorithm for power load forecasting in iron and steel enterprise.
Rajesh Jha, Prodip Kumar Sen & Nirupam Chakraborti. (2014) Multi-Objective Genetic Algorithms and Genetic Programming Models for Minimizing Input Carbon Rates in a Blast Furnace Compared with a Conventional Analytic Approach. steel research international 85:2, pages 219-232.
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Nirupam Chakraborti. 2014. Applications of Metaheuristics in Process Engineering. Applications of Metaheuristics in Process Engineering 89 122 .
Pasquale Cavaliere & Angelo Perrone. (2014) Optimization of Blast Furnace Productivity Coupled with CO 2 Emissions Reduction . steel research international 85:1, pages 89-98.
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Brijesh Kumar Giri, Jussi Hakanen, Kaisa Miettinen & Nirupam Chakraborti. (2013) Genetic programming through bi-objective genetic algorithms with a study of a simulated moving bed process involving multiple objectives. Applied Soft Computing 13:5, pages 2613-2623.
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Soumavo Paul, S. K. Roy & P. K. Sen. (2012) Approach for Minimizing Operating Blast Furnace Carbon Rate Using Carbon-Direct Reduction (C-DRR) Diagram. Metallurgical and Materials Transactions B 44:1, pages 20-27.
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Ling Jian, Chuanhou Gao & Zhonghang Xia. (2012) Constructing Multiple Kernel Learning Framework for Blast Furnace Automation. IEEE Transactions on Automation Science and Engineering 9:4, pages 763-777.
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Bogusław Bieda. (2012) Life cycle inventory processes of the Mittal Steel Poland (MSP) S.A. in Krakow, Poland—blast furnace pig iron production—a case study. The International Journal of Life Cycle Assessment 17:6, pages 787-794.
Crossref
Pankaj Rajak, Ujjal Tewary, Sumitesh Das, Baidurya Bhattacharya & Nirupam Chakraborti. (2011) Phases in Zn-coated Fe analyzed through an evolutionary meta-model and multi-objective Genetic Algorithms. Computational Materials Science 50:8, pages 2502-2516.
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Debanga Nandan Mondal, Kadambini Sarangi, Frank Pettersson, Prodip Kumar Sen, Henrik Saxén & Nirupam Chakraborti. (2011) Cu―Zn separation by supported liquid membrane analyzed through Multi-objective Genetic Algorithms. Hydrometallurgy 107:3-4, pages 112-123.
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