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Original Articles

Evolutionary Surrogate Optimization of an Industrial Sintering Process

Pages 768-775 | Received 24 Sep 2012, Accepted 25 Sep 2012, Published online: 08 Jul 2013

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Read on this site (6)

Ataklti Kahsay Wolday & Manojkumar Ramteke. (2023) Optimisation of methanol distillation using GA and neural network hybrid. Materials and Manufacturing Processes 38:15, pages 1911-1921.
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Zhen Wang & Guohua Zhu. (2023) Development of the temperature-dependent constitutive model of glass fiber reinforced polypropylene composites. Materials and Manufacturing Processes 38:3, pages 295-305.
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Priyanka Devi Pantula, Srinivas Soumitri Miriyala & Kishalay Mitra. (2017) KERNEL: Enabler to build smart surrogates for online optimization and knowledge discovery. Materials and Manufacturing Processes 32:10, pages 1162-1171.
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Anitha Mogilicharla, Prateek Mittal, Saptarshi Majumdar & Kishalay Mitra. (2015) Kriging Surrogate Based Multi-objective Optimization of Bulk Vinyl Acetate Polymerization with Branching. Materials and Manufacturing Processes 30:4, pages 394-402.
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N. Chakraborti. (2014) Promise of multiobjective genetic algorithms in coating performance formulation. Surface Engineering 30:2, pages 79-82.
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Articles from other publishers (5)

Fredrick Mumali. (2022) Artificial neural network-based decision support systems in manufacturing processes: A systematic literature review. Computers & Industrial Engineering 165, pages 107964.
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Srinivas Soumitri Miriyala & Kishalay Mitra. 2022. Research Anthology on Artificial Neural Network Applications. Research Anthology on Artificial Neural Network Applications 749 782 .
Arpit Mallick, Subhra Dhara & Sushant Rath. (2021) Application of machine learning algorithms for prediction of sinter machine productivity. Machine Learning with Applications 6, pages 100186.
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Bashista Kumar Mahanta & Nirupam Chakraboti. 2019. Optimization in Industry. Optimization in Industry 211 252 .
Srinivas Soumitri Miriyala & Kishalay Mitra. 2018. Handbook of Research on Emergent Applications of Optimization Algorithms. Handbook of Research on Emergent Applications of Optimization Algorithms 232 264 .

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