abstract = "The paper presents the use of evolutionary method for
improving efficiency of the production process. The
purpose of research was to select the parameters of
turning the monel alloy in order to increase
productivity with required tool wearing resistance and
surface quality. Three independent variables, cutting
speed, feed rate, and cutting depth were monitored
between cutting process. Those variables influence the
dependent variables, i.e., tool life and surface
roughness. On the basis of experimental data set,
different models for tool life and surface roughness
were developed by genetic programming method. The two
models for tool life and surface roughness predict if
the specified tool life and surface roughness are
reached. The limit for high quality machining of the
surface was the quality class N6 (Ra=0.8 m), whereas
for tool life the time of 13 minutes and more was
expected. After process modelling the parameter
selection plan was developed according to predicted
tool life and surface roughness. The proposed concept
robustly and simply ensures monitoring and optimization
of the turning process. The results of researches were
transferred into practice.",
