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Materials and Manufacturing Processes Volume 24, 2009 - Issue 3
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Original Articles

Application of the Genetic Programming for Increasing the Soft Annealing Productivity in Steel Industry

Miha Kovačič Research Department, Štore Steel d.o.o., Štore, SloveniaCorrespondence[email protected]
&
Božidar Šarler Laboratory for Multiphase Processes, University of Nova Gorica, Nova Gorica, Slovenia
Pages 369-374 | Received 14 Jul 2008, Accepted 05 Oct 2008, Published online: 19 Feb 2009

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Manwendra K. Tripathi, P. P. Chattopadhyay & Subhas Ganguly. (2017) Evolutionary intelligence in design and synthesis of bulk metallic glasses by mechanical alloying. Materials and Manufacturing Processes 32:10, pages 1059-1066.
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Miha Kovačič. (2015) Modeling of Total Decarburization of Spring Steel with Genetic Programming. Materials and Manufacturing Processes 30:4, pages 434-443.
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Miha Kovačič, Urban Rožej & Miran Brezočnik. (2013) Genetic Algorithm Rolling Mill Layout Optimization. Materials and Manufacturing Processes 28:7, pages 783-787.
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Simon Klancnik, Miran Brezocnik, Joze Balic & Isak Karabegovic. (2013) Programming of CNC Milling Machines Using Particle Swarm Optimization. Materials and Manufacturing Processes 28:7, pages 811-815.
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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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Miha Kovačič & Božidar Šarler. (2011) Genetic Algorithm-Based Batch Filling Scheduling in the Steel Industry. Materials and Manufacturing Processes 26:3, pages 464-474.
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Erol Kilickap & Mesut Huseyinoglu. (2010) Selection of Optimum Drilling Parameters on Burr Height Using Response Surface Methodology and Genetic Algorithm in Drilling of AISI 304 Stainless Steel. Materials and Manufacturing Processes 25:10, pages 1068-1076.
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Jiheng Fang, Shangrong Yang, Ming Xie, Jieqiong Hu, Hongsheng Sun, Guohua Liu, Shangqiang Zhao, Yongtai Chen, Youcai Yang, Dekui Ning, Xingqun He & Qinglin Jin. (2024) Solid-liquid phase transition temperature prediction of alloys based on machine learning key feature screening. Applied Materials Today 36, pages 102007.
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Jesús-Adolfo Mejía-De-Dios, Alejandro Rodríguez-Molina & Efrén Mezura-Montes. (2023) Multiobjective Bilevel Optimization: A Survey of the State-of-the-Art. IEEE Transactions on Systems, Man, and Cybernetics: Systems 53:9, pages 5478-5490.
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Konstantinos S. Boulas, Georgios D. Dounias & Chrissoleon T. Papadopoulos. (2021) A hybrid evolutionary algorithm approach for estimating the throughput of short reliable approximately balanced production lines. Journal of Intelligent Manufacturing 34:2, pages 823-852.
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Changxin Wang, Yan Zhang, Cheng Wen, Mingli Yang, Turab Lookman, Yanjing Su & Tong-Yi Zhang. (2022) Symbolic regression in materials science via dimension-synchronous-computation. Journal of Materials Science & Technology 122, pages 77-83.
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Beatriz Bretones Cassoli, Nicolas Jourdan, Phu H. Nguyen, Sagar Sen, Enrique Garcia-Ceja & Joachim Metternich. (2022) Frameworks for data-driven quality management in cyber-physical systems for manufacturing: A systematic review. Procedia CIRP 112, pages 567-572.
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Sangho Lee & Youngdoo Son. (2021) Motor Load Balancing with Roll Force Prediction for a Cold-Rolling Setup with Neural Networks. Mathematics 9:12, pages 1367.
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Yijun Bei, Yong Zhou, Xuelin Cheng & Erteng Liu. (2020) Qualified Rate Prediction of Typical Workpieces in Discrete Manufacturing Process. Qualified Rate Prediction of Typical Workpieces in Discrete Manufacturing Process.
Miha Kovačič & Uroš Župerl. (2020) Genetic programming in the steelmaking industry. Genetic Programming and Evolvable Machines 21:1-2, pages 99-128.
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Arthur Kordon, Theresa Kotanchek & Mark Kotanchek. 2020. Genetic Programming Theory and Practice XVII. Genetic Programming Theory and Practice XVII 145 163 .
Fabrício M. Gomes, Félix M. Pereira, Aneirson F. Silva & Messias B. Silva. (2019) Multiple response optimization: Analysis of genetic programming for symbolic regression and assessment of desirability functions. Knowledge-Based Systems 179, pages 21-33.
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Justyna Petke, Saemundur O. Haraldsson, Mark Harman, William B. Langdon, David R. White & John R. Woodward. (2018) Genetic Improvement of Software: A Comprehensive Survey. IEEE Transactions on Evolutionary Computation 22:3, pages 415-432.
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Fenglin Yuan & Tim Mueller. (2017) Identifying models of dielectric breakdown strength from high-throughput data via genetic programming. Scientific Reports 7:1.
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Miha Kovačič & Franjo Dolenc. (2016) Prediction of the natural gas consumption in chemical processing facilities with genetic programming. Genetic Programming and Evolvable Machines 17:3, pages 231-249.
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Thorsten Wuest, Christopher Irgens & Klaus-Dieter Thoben. (2013) An approach to monitoring quality in manufacturing using supervised machine learning on product state data. Journal of Intelligent Manufacturing 25:5, pages 1167-1180.
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Miha Kovačič & Božidar Šarler. (2014) Genetic programming prediction of the natural gas consumption in a steel plant. Energy 66, pages 273-284.
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Thorsten Wuest, Christopher Irgens & Klaus-Dieter Thoben. 2013. Advances in Production Management Systems. Competitive Manufacturing for Innovative Products and Services. Advances in Production Management Systems. Competitive Manufacturing for Innovative Products and Services 1 8 .
Benjamin Knoke, Thorsten Wuest & Klaus-Dieter Thoben. 2013. Advances in Production Management Systems. Competitive Manufacturing for Innovative Products and Services. Advances in Production Management Systems. Competitive Manufacturing for Innovative Products and Services 437 444 .
C. Irgens, T. Wuest & K.-D. Thoben. (2012) Product state based view and machine learning: A suitable approach to increase quality?. IFAC Proceedings Volumes 45:6, pages 1733-1738.
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Kit Yan Chan, Tharam S. Dillon & C. K. Kwong. (2011) Modeling of a Liquid Epoxy Molding Process Using a Particle Swarm Optimization-Based Fuzzy Regression Approach. IEEE Transactions on Industrial Informatics 7:1, pages 148-158.
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Thorsten Wuest, Dieter Klein & Klaus-Dieter Thoben. (2011) State of steel products in industrial production processes. Procedia Engineering 10, pages 2220-2225.
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