TY - JOUR
TI - Optimization of system parameters controlling electric furnace
	temperature using genetic algorithms
AU - Samotyy, Volodymyr
AU - Dzelendzyak, Ulyana
TI - Optimization of system parameters controlling electric furnace
	temperature using genetic algorithms
AB - 
	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.
VL - 2015
IS - Electronical Engineering Issue 2-E (13) 2015
PY - 2016
SN - 0011-4561
C1 - 2353-737X
SP - 211
EP - 224
DO - 10.4467/2353737XCT.15.097.3929
UR - https://ejournals.eu/en/journal/czasopismo-techniczne/article/optimization-of-system-parameters-controlling-electric-furnace-temperature-using-genetic-algorithms
KW - genetic algorithm
KW - individual
KW - population
KW - mutation
KW - target function
KW - electric furnace