# An Improved Squirrel Search Algorithm for Global Function Optimization
## 3 The improved Squirrel Search Algorithm
### The Jumping Search Method
#### 3.2.3 Characters of the Jumping Search Method
\begin{table}
\begin{tabular}{c c c c c c c c} \hline \hline
**Name** & **D** & **Method** & **Best** & **Worst** & **Mean** & **SD** & **R** \\ \hline \multirow{8}{*}{F17} & \multirow{8}{*}{30} & MDE & 75.0038 & 75.0038 & 75.0038 & 2.4914e\(-\)06 & 0 \\  & & distABC & 14.1555 & 967.8401 & 263.9005 & 227.9731 & 0 \\  & & IGSA/PSO & 6.3987e+03 & 1.3092e+05 & 2.3932e+04 & 2.9068e+04 & 0 \\  & & ADN-RSN-PSO & 9.8556e\(-\)09 & 1.2370e+06 & 1.0690e+05 & 2.8807e+05 & 1 \\  & & PSO-GWO & 1.5518e\(-\)282 & 1.3001e\(-\)226 & 4.3877e\(-\)28 & 0 & 30 \\  & & ISSA & 0 & 0 & 0 & 0 \\ \cline{2-7}  & & MDE & 125.0040 & 125.0089 & 125.0061 & 0.0011 & 0 \\  & & distABC & 8.7542e+05 & 8.0466e+06 & 3.7711e+06 & 1.7995e+06 & 0 \\  & & IGSA/PSO & 5.9214e+04 & 9.9143e+05 & 3.6022e+05 & 2.4168e+05 & 0 \\  & & ADN-RSN-PSO & 1.0970e\(-\)10 & 2.1368e+06 & 1.2419e+05 & 4.5201e+05 & 1 \\  & & PSO-GWO & 1.7465e\(-\)284 & 5.6730e\(-\)226 & 1.9183e\(-\)227 & 0 & 30 \\  & & ISSA & 0 & 0 & 0 & 0 & 30 \\ \cline{2-7}  & & MDE & 246.0984 & 254.7257 & 250.2010 & 1.7431 & 0 \\  & & distABC & 7.9086e+08 & 1.7132e+09 & 1.1912e+09 & 2.6043e+08 & 0 \\  & & IGSA/PSO & 2.8580e+06 & 2.8682e+07 & 1.0857e+07 & 5.9353e+06 & 0 \\  & & ADN-RSN-PSO & 1.6856e\(-\)10 & 3.7886e+07 & 1.9511e+06 & 7.5422e+06 & 1 \\  & & PSO-GWO & 6.8705e\(-\)282 & 1.1504e\(-\)207 & 3.8348e\(-\)209 & 0 & 30 \\  & & ISSA & 0 & 0 & 0 & 0 & 30 \\ \hline \multirow{8}{*}{F18} & \multirow{8}{*}{30} & MDE & 5.6399e\(-\)14 & 0.0049 & 1.6441e\(-\)04 & 9.0052e\(-\)04 & 29 \\  & & distABC & 37.4773 & 52.3512 & 44.4924 & 3.8327 & 0 \\  & & IGSA/PSO & 2.2085 & 16.7038 & 7.2453 & 3.6023 & 0 \\  & & ADN-RSN-PSO & 473.9074 & 756.4108 & 618.1881 & 58.6785 & 0 \\  & & PSO-GWO & 1.4714e\(-\)04 & 0.5205 & 0.1391 & 0.1364 & 0 \\  & & ISSA & 0 & 1.8646e\(-\)11 & 6.2199e\(-\)13 & 3.4042e\(-\)12 & 30 \\ \cline{2-7}  & & MDE & 2.1559e\(-\)07 & 0.0247 & 0.0020 & 0.0050 & 0 \\  & & distABC & 88.2182 & 191.3685 & 142.3998 & 20.9568 & 0 \\  & & IGSA/PSO & 21.8794 & 81.5488 & 42.3904 & 14.2207 & 0 \\  & & ADN-RSN-PSO & 968.5157 & 1.3856e+03 & 1.1812e+03 & 107.6813 & 0 \\  & & PSO-GWO & 0.0012 & 0.5782 & 0.1944 & 0.1966 & 0 \\  & & ISSA & 0 & 2.0095e\(-\)14 & 3.8525e\(-\)15 & 5.4146e\(-\)15 & 30 \\ \hline \multirow{8}{*}{F18} & \multirow{8}{*}{100} & MDE & 0.1950 & 1.1188 & 0.6049 & 0.2438 & 0 \\  & & distABC & 1.7147e+03 & 2.7003e+03 & 2.4415e+03 & 200.0542 & 0 \\  & & IGSA/PSO & 147.2077 & 249.3046 & 191.2195 & 25.7575 & 0 \\  & & ADN-RSN-PSO & 23436e+03 & 3.0052e+03 & 2.6587e+03 & 141.5865 & 0 \\  & & PSO-GWO & 0.0148 & 1.0070 & 0.4467 & 0.3082 & 0 \\  & & ISSA & 0 & 2.0095e\(-\)14 & 3.8525e\(-\)15 & 5.4146e\(-\)15 & 30 \\ \hline \multirow{8}{*}{F19} & \multirow{8}{*}{30} & MDE & 0.2008 & 0.3999 & 0.2899 & 0.0382 & 0 \\  & & distABC & 0.5839 & 1.3355 & 0.8775 & 0.1932 & 0 \\  & & IGSA/PSO & 1.0999 & 3.6999 & 1.8435 & 0.5102 & 0 \\  & & ADN-RSN-PSO & 1.8736e\(-\)05 & 2.4222 & 0.3108 & 0.5509 & 0 \\  & & PSO-GWO & 9.8614e\(-\)142 & 3.7041e\(-\)106 & 1.4517e\(-\)107 & 6.7762e\(-\)107 & 30 \\  & & ISSA & 0 & 0 & 0 & 0 & 30 \\ \cline{2-7}  & & MDE & 0.4999 & 1.1000 & 0.7342 & 0.1439 & 0 \\  & & distABC & 3.2414 & 7.4063 & 5.6732 & 0.9657 & 0 \\  & & IGSA/PSO & 3.4999 & 7.0999 & 5.0539 & 0.7385 & 0 \\  & & ADN-RSN-PSO & 1.5276e\(-\)04 & 3.7168 & 0.2954 & 0.7185 & 0 \\  & & PSO-GWO & 1.1372e\(-\)147 & 7.0961e\(-\)103 & 2.3655e\(-\)104 & 1.2956e\(-\)103 & 30 \\  & & ISSA & 0 & 0 & 0 & 0 & 30 \\ \cline{2-7}  & & MDE & 2.2228 & 5.7138 & 3.5648 & 0.7504 & 0 \\  & & distABC & 46.4171 & 55.0417 & 52.0511 & 1.8933 & 0 \\  & & IGSA/PSO & 9.4999 & 14.0488 & 11.1732 & 1.1383 & 0 \\  & & ADN-RSN-PSO & 1.0459e\(-\)07 & 3.5730 & 0.5094 & 0.9123 & 0 \\  & & PSO-GWO & 1.1118e\(-\)134 & 3.5210e\(-\)77 & 1.1737e\(-\)78 & 6.4285e\(-\)78 & 30 \\  & & ISSA & 0 & 0 & 0 & 0 & 30 \\ \hline \hline \end{tabular}
\end{table}