The use of the computer genetic algorithm (GA) for driving a controller dev
ice for the industrial flue gas purification systems employing the electron
beam irradiation, has been studied. As the mathematical model of the insta
llation the properly trained artificial neural net (ANN) was used. Various
cost functions and optimising strategies of the genetic code were tested. T
hese computer simulations proved, that ANN + GA controller can be sufficien
tly precise and fast to be applied in real installations.