Genetic programming

Evolutionary data driven modelling and many objective optimization of non linear noisy data in the blast furnace iron making process

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Evolutionary data driven modelling and many objective optimization of non linear noisy data in the blast furnace iron making process Bashista Kumar Mahanta, Nirupam Chakraborti Department of Metallurgical and Materials Engineering Indian Institute of Technology, Kharagpur, India. DOI: https://doi.org/10.7494/cmms.2021.3.0733 Abstract: Optimization of process parameters in modern blast furnace operation, where both control and accessing large … Read more

Genetic programming modeling of the critical size of inclusions

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Genetic programming modeling of the critical size of inclusions Miha Kovačič, Božidar Šarler University of Nova Gorica, Slovenia. DOI: https://doi.org/10.7494/cmms.2011.1.0310 Abstract: Spring steel quality has a major impact on spring life. Spring steel quality depends also on the inclusions presence. 7 dynamically tested and broken springs (51CrV4) were analyzed. The dynamic test result is the … Read more