Please use this identifier to cite or link to this item: https://sci.ldubgd.edu.ua/jspui/handle/123456789/726
Title: Optimization of system parameters controlling electric furnace temperature using genetic algorithms
Authors: Samotyj, Volodymyr
Dzelendzyak, Ulyana
Keywords: genetic algorithm, individual, population, mutation, target function, electric furnace
Issue Date: 2015
Publisher: Technical Transactions. Electrical Engineering
Abstract: The optimization of the parameters of the electric furnace temperature control was considered. 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.
URI: http://hdl.handle.net/123456789/726
Appears in Collections:2015

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