# Personalized-Template-Guided Intelligent Evolutionary Algorithm
## 3 Results
### Comparison of PTG with Other Algorithms
#### 3.3.2 Analysis of Experimental Results of CEC2022 Test Function
\begin{table}
\begin{tabular}{c c c c c c c} \hline
**Function** & **Metric** & **RSA** & **FATA** & **MFO** & **ECO** & **HO** \\ \hline \multirow{4}{*}{F6} & mean & \(1.15\times 10^{9}\) & \(1.28\times 10^{5}\) & \(1.07\times 10^{7}\) & \(7.47\times 10^{3}\) & \(9.65\times 10^{3}\) \\  & std & \(1.15\times 10^{9}\) & \(1.48\times 10^{5}\) & \(1.66\times 10^{7}\) & \(5.81\times 10^{3}\) & \(7.98\times 10^{3}\) \\  & rank & 9 & 5 & 7 & 2 & 3 \\  & time & \(8.16\times 10^{-1}\) & \(1.74\times 10^{-1}\) & \(1.42\times 10^{-1}\) & \(2.83\times 10^{-1}\) & 3.73 \\ \hline \multirow{4}{*}{F7} & mean & \(2.23\times 10^{3}\) & \(2.14\times 10^{3}\) & \(2.12\times 10^{3}\) & \(2.14\times 10^{3}\) & \(2.14\times 10^{3}\) \\  & std & \(3.25\times 10^{1}\) & \(2.57\times 10^{1}\) & \(5.84\times 10^{1}\) & \(5.66\times 10^{1}\) & \(2.27\times 10^{1}\) \\  & rank & 9 & 4 & 2 & 5 & 3 \\  & time & \(9.93\times 10^{-1}\) & \(2.86\times 10^{-1}\) & \(2.72\times 10^{-1}\) & \(3.86\times 10^{-1}\) & 4.22 \\ \hline \multirow{4}{*}{F8} & mean & \(2.56\times 10^{3}\) & \(2.27\times 10^{3}\) & \(2.26\times 10^{3}\) & \(2.27\times 10^{3}\) & \(2.24\times 10^{3}\) \\  & std & \(5.60\times 10^{2}\) & \(5.38\times 10^{1}\) & \(4.81\times 10^{1}\) & \(7.23\times 10^{1}\) & 8.34 \\  & rank & 10 & 5 & 3 & 6 & 2 \\  & time & \(1.09\) & \(3.33\times 10^{-1}\) & \(3.18\times 10^{-1}\) & \(4.80\times 10^{-1}\) & 4.37 \\ \hline \multirow{4}{*}{F9} & mean & \(3.14\times 10^{3}\) & \(2.51\times 10^{3}\) & \(2.52\times 10^{3}\) & \(2.48\times 10^{3}\) & \(2.53\times 10^{3}\) \\  & std & \(2.23\times 10^{2}\) & \(1.83\times 10^{1}\) & \(4.86\times 10^{1}\) & 2.67 & \(2.85\times 10^{1}\) \\  & rank & 9 & 3 & 5 & 2 & 6 \\  & time & \(9.87\times 10^{-1}\) & \(2.91\times 10^{-1}\) & \(2.78\times 10^{-1}\) & \(3.84\times 10^{-1}\) & 4.20 \\ \hline \multirow{4}{*}{F10} & mean & \(4.70\times 10^{3}\) & \(3.48\times 10^{3}\) & \(3.88\times 10^{3}\) & \(3.70\times 10^{3}\) & \(3.74\times 10^{3}\) \\  & std & \(1.78\times 10^{3}\) & \(9.80\times 10^{2}\) & \(9.58\times 10^{2}\) & \(1.08\times 10^{3}\) & \(1.06\times 10^{3}\) \\  & rank & 8 & 2 & 6 & 3 & 4 \\  & time & \(9.76\times 10^{-1}\) & \(2.42\times 10^{-1}\) & \(2.26\times 10^{-1}\) & \(3.30\times 10^{-1}\) & 4.06 \\ \hline \multirow{4}{*}{F11} & mean & \(8.59\times 10^{3}\) & \(5.39\times 10^{3}\) & \(1.88\times 10^{4}\) & \(3.00\times 10^{3}\) & \(3.03\times 10^{3}\) \\  & std & \(4.67\times 10^{2}\) & \(1.17\times 10^{3}\) & \(1.99\times 10^{4}\) & \(1.62\times 10^{2}\) & \(1.79\times 10^{2}\) \\ \cline{1-1}  & rank & 8 & 6 & 10 & 2 & 3 \\  & time & \(1.06\) & \(3.45\times 10^{-1}\) & \(3.56\times 10^{-1}\) & \(4.49\times 10^{-1}\) & 4.38 \\ \hline \multirow{4}{*}{F12} & mean & \(3.2313\times 10^{3}\) & \(3.1168\times 10^{3}\) & \(2.9545\times 10^{3}\) & \(3.0011\times 10^{3}\) & \(3.1103\times 10^{3}\) \\  & std & \(1.81\times 10^{2}\) & \(6.83\times 10^{1}\) & \(1.31\times 10^{1}\) & \(3.72\times 10^{1}\) & \(9.81\times 10^{1}\) \\ \cline{1-1}  & rank & 8 & 6 & 2 & 3 & 5 \\ \cline{1-1}  & time & \(1.05\) & \(3.61\times 10^{-1}\) & \(3.63\times 10^{-1}\) & \(4.56\times 10^{-1}\) & 4.46 \\ \hline \end{tabular}
\end{table} 
Table 6: _Cont._Figure 5: _Cont_. The box plots of optimization algorithms on CEC2022 benchmark functions are shown in Figure 6, where a \"\(+\)\" indicates an outlier of the data. It is drawn using the 30 optimal solutions obtained from 30 independent runs of each algorithm. The box plot helps us analyze the degree of dispersion and outliers of the data. As can be seen from the figure, compared with other comparison algorithms, our algorithm has a more concentrated distribution on the F1, F2, F3, F5, F6, F8, F9, F10, F11, and F12 functions. Among the 12 functions, except for the F10 function, PTG generates at most one outlier and has relatively high stability. Figure 5: Convergence curves (F1–F12) of PTG and 9 optimization algorithms on CEC2022. Figure 6: _Cont._