Optimization of system parameters controlling electric furnace temperature using genetic algorithms

• Authors: Volodymyr Samotyy , Ulyana Dzelendzyak
• Languages of publication: PL

Abstracts

PL

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.

Keywords

PL

genetic algorithm, individual, population, mutation, target function, electric furnace

• Publisher: [unknown2]
• Journal: Czasopismo Techniczne
• Year: -

Dates

online

2016-02-17

Contributors

author

Volodymyr Samotyy

author

Ulyana Dzelendzyak