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Browsing by Author "Mahanta, Bashista Kumar"

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    Item type:Article, Access status: Open Access ,
    Evolutionary data driven modelling and many objective optimization of non linear noisy data in the blast furnace iron making process
    (Wydawnictwa AGH, 2021) Mahanta, Bashista Kumar; Chakraborti, Nirupam
    The optimization of process parameters in modern blast furnace operation, where both control and accessing large data set with multiple variables and objectives is a challenging task. To handle such non-linear and noisy data set deep learning techniques have been used in recent time. In this study an evolutionary deep neural network algorithm (EvoDN2) has been applied to derive a data driven model for blast furnace. The optimal front generated from deep neural network is compared against the optimal models developed from bi-objective genetic programming algorithm (BioGP) and evolutionary neural network (EvoNN). The optimization process is applied to all the training models by using constraint based reference vector evolutionary algorithm (cRVEA).