## 7 Results and Discussion
\begin{table}
\begin{tabular}{c c c c c c c c} \hline \hline
**Number of** & **Copper** & **Particle Size (um)** & **Cleaning Flotation Time** & **Collector** & **Collector** & **\# (\%)** & **\# (\%)** \\
**Generations** & **Ore Type** & **Particle Size (um)** & **(min)** & **Type** & **Dose (g/Mg)** & **\# (\%)** & **\# (\%)** \\ \hline
5 & & 45–50 & 10–1.4 & E & 100–108 & 26-28 & 0.170-0.299 & 95.4-96.6 \\
10 & & 46-48 & 1.15–1.42 & E & 104–106 & 27-28 & 0.208-0.285 & 97.0–98.5 \\
15 & & 47 & 1.30–1.32 & E & 104–105 & 27.75 & 0.220-0.238 & 97.0–98.0 \\
20 & & 47 & 1.30–1.31 & E & 104.98 & 27.72 & 0.225 & 97.60-97.61 \\
25 & & 47 & 1.30–1.309 & E & 104.98 & 27.72 & 0.225 & 97.60-97.62 \\
30 & & 47 & 1.308 & E & 104.98 & 27.72 & 0.225 & 97.60-97.63 \\ \hline \hline \end{tabular}
\end{table} 
Table 10: A summary of the results of the copper ore flotation process optimisation in the Denver flotation machine taking the gradual development of the algorithm into account (E—aqueous solution of ethyl sodium xanthate). \begin{table}
\begin{tabular}{c c c c c c c c c} \hline \hline
**Number of** & **Copper** & **Particle Size** & **Cleaning Flotation Time** & **Collector** & **Collector** & **\# (\%)** & **\# (\%)** & **\# (\%)** \\
**Generations** & **Ore Type** & **(um)** & **(min)** & **Type** & **Dose (g/Mg)** & **\# (\%)** & **\# (\%)** & **\# (\%)** \\ \hline
5 & & 0–25 & 30 & Z & 108.35 & 11.36 & 0.435 & 88.87 \\
10 & & 0–25 & 30 & Z & 108.35 & 11.36 & 0.435 & 88.87 \\
15 & & 0–25 & 30 & Z & 108.35 & 11.36 & 0.435 & 88.87 \\
20 & & 0–25 & 30 & Z & 108.35 & 11.36 & 0.435 & 88.87 \\
25 & & 0–25 & 30 & Z & 108.35 & 11.36 & 0.435 & 88.87 \\
30 & & 0–25 & 30 & Z & 108.35 & 11.36 & 0.435 & 88.87 \\ \hline \hline \end{tabular}
\end{table} 
Table 11: A summary of the results of the copper ore flotation process optimisation in the Jameson cell taking the gradual development of the algorithm into account (E—aqueous solution of ethyl sodium xanthate). On the basis of the results presented in Table 12, it is possible to observe clear differences between the optimal separation process parameters of the existing copper ore types. On the basis of the results obtained from the genetic algorithm, it can be concluded that the highest quality of foam product is obtained during the flotation of sandstone ore (\(\beta\) = 24.85%) with copper loss (\(\eta\)Cu) in the tailings at the level of less than 5%. The quality of concentrates obtained as a result of the first cleaning flotation of dolomite ore is characterised by the copper content which is more than twice as low (10.91%). A similar trend is observed for the discussed indicator for shale ore (5.45%). With regard to the expected copper content in the tailings, the genetic algorithm estimated the range of 0.2-0.3%, which indicates the need to carry out further cleaning flotations in order to reduce copper losses. The discussed values of the cleaning flotation (I) performance evaluation indicators will be achievable with an appropriate level of experimental factors. GA has generated the following values: 37.23, 44.02 and 48.06 \(\upmu\)m as the optimal size of the feed particles, for the dolomite, shale and sandstone types, respectively. The enrichment time needed to achieve the expected results for sandstone and dolomite copper ore is significantly shorter compared to the shale lithological type, which confirms the fact that the process of flotability is difficult for this lithological type.