Optimization of system parameters controlling electric furnace
temperature using genetic algorithms
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Optimization of system parameters controlling electric furnace
temperature using genetic algorithms
Publication date: 08.02.2016
Technical Transactions, 2015, Electronical Engineering Issue 2-E (13) 2015, pp. 211-224
https://doi.org/10.4467/2353737XCT.15.097.3929Authors
Optimization of system parameters controlling electric furnace
temperature using genetic algorithms
The optimization of the parameters of the electric furnace temperature control was considered. The optimization was executed using genetic algorithms. The model takes into account nonlinearity, which is connected with the penetration of heat. Also, it is connected with losses of heat due to convection and radiation. The genetic algorithm determines the selection of parameters of the mathematical model in which the system accurately reproduces the input action.
Information: Technical Transactions, 2015, Electronical Engineering Issue 2-E (13) 2015, pp. 211-224
Article type: Original article
Titles:
Optimization of system parameters controlling electric furnace
temperature using genetic algorithms
Optimization of system parameters controlling electric furnace
temperature using genetic algorithms
Department of Automatic Control and Information Technology, Faculty of Electrical and Computer Engineering, Cracow University of Technology; Department of Computerized Automatic Systems, Lviv Polytechnic National University
Department of Computerized Automatic Systems, Lviv Polytechnic National University
Published at: 08.02.2016
Article status: Open
Licence: None
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EnglishView count: 1532
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