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
Data publikacji: 08.02.2016
Czasopismo Techniczne, 2015, Elektrotechnika Zeszyt 2-E (13) 2015, s. 211 - 224
https://doi.org/10.4467/2353737XCT.15.097.3929Autorzy
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.
Informacje: Czasopismo Techniczne, 2015, Elektrotechnika Zeszyt 2-E (13) 2015, s. 211 - 224
Typ artykułu: Oryginalny artykuł naukowy
Tytuły:
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
Publikacja: 08.02.2016
Status artykułu: Otwarte
Licencja: Żadna
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