Evolutionary data driven modeling and tri-objective optimization for noisy BOF steel making data

Evolutionary data driven modeling and tri-objective optimization for noisy BOF steel making data

Evolutionary data-driven modeling and optimization play a major role in generating meta models from real-time data. These surrogate models are applied effectively in various industrial operations and processes to predict a more accurate model from the nonlinear and noisy data. In this work, the data...

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Bibliographic Details
Main Authors: Bashista Kumar Mahanta, Prakash Gupta, Itishree Mohanty, Tapas Kumar Roy, Nirupam Chakraborti
Format: Article
Language:English
Published: Elsevier 2023-06-01
Series:Digital Chemical Engineering
Subjects:
Optimization
Multi-objective optimization
Pareto optimality
Evolutionary algorithms
Deep learning
Neural network
Online Access:http://www.sciencedirect.com/science/article/pii/S2772508123000121

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http://www.sciencedirect.com/science/article/pii/S2772508123000121

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