# 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}{*}{F11} & \multirow{8}{*}{30} & MDE & 1.0401e\(-\)14 & 1.5722e\(-\)12 & 1.9227e\(-\)13 & 3.1621e\(-\)13 & 30 \\  & & distABC & 0.0366 & 2.2711 & 0.3127 & 0.4293 & 0 \\  & & IGSA/PSO & 7.9175e\(-\)07 & 0.0051 & 5.0970e\(-\)04 & 0.0011 & 0 \\  & & ADN-RSN-PSO & 5.7203e\(-\)17 & 27.6484 & 1.0388 & 5.0631 & 9 \\  & & PSO-GWO & 5.5036e\(-\)276 & 7.3227e\(-\)204 & 2.4409e\(-\)205 & 0 & 30 \\  & & ISSA & 0 & 0 & 0 & 0 & 30 \\ \cline{2-8}  & & MDE & 2.4111e\(-\)07 & 7.1216e\(-\)06 & 1.3533e\(-\)06 & 1.6316e\(-\)06 & 0 \\  & & distABC & 5.3447e\(+\)03 & 1.5571e\(+\)05 & 5.4741e\(+\)04 & 3.8374e\(+\)04 & 0 \\  & & IGSA/PSO & 0.1664 & 3.5193 & 1.0541 & 0.7896 & 0 \\  & & ADN-RSN-PSO & 1.9193e\(-\)13 & 100.5956 & 6.6218 & 19.7265 & 2 \\  & & PSO-GWO & 1.6753e\(-\)281 & 1.4189e\(-\)221 & 4.7307e\(-\)232 & 0 & 30 \\  & & ISSA & 0 & 0 & 0 & 0 & 30 \\ \cline{2-8}  & & MDE & 0.7826 & 24.0248 & 5.3714 & 5.5151 & 0 \\  & & distABC & 1.3689e\(+\)06 & 2.7723e\(+\)06 & 2.2532e\(+\)06 & 3.6327e\(+\)05 & 0 \\  & & IGSA/PSO & 637.5637 & 3.1652e\(+\)03 & 1.3765e\(+\)03 & 659.7935 & 0 \\  & & ADN-RSN-PSO & 1.8339e\(-\)12 & 0.4017 & 0.0410 & 0.0877 & 3 \\  & & PSO-GWO & 1.2087e\(-\)284 & 2.6558e\(-\)214 & 9.3853e\(-\)216 & 0 & 30 \\  & & ISSA & 0 & 0 & 0 & 0 & 30 \\ \hline \multirow{8}{*}{F12} & \multirow{8}{*}{30} & MDE & 9.2637e\(-\)14 & 7.6030e\(-\)11 & 5.8121e\(-\)12 & 1.3863e\(-\)11 & 30 \\  & & distABC & 0.0086 & 0.2122 & 0.0605 & 0.0567 & 0 \\  & & IGSA/PSO & 1.0212e\(-\)08 & 1.0867e\(-\)04 & 1.1358e\(-\)05 & 2.3307e\(-\)05 & 0 \\  & & ADN-RSN-PSO & 9.6397e\(-\)26 & 397.2135 & 14.0547 & 72.4037 & 3 \\  & & PSO-GWO & 6.2166e\(-\)292 & 6.3326e\(-\)231 & 2.1637e\(-\)232 & 0 & 30 \\  & & ISSA & 0 & 0 & 0 & 0 & 30 \\ \cline{2-8}  & & MDE & 1.6536e\(-\)07 & 9.7707e\(-\)06 & 2.9899e\(-\)06 & 2.6119e\(-\)06 & 0 \\  & & distABC & 449.1668 & 2.6220e\(+\)03 & 1.2305e\(+\)03 & 564.3590 & 0 \\  & & IGSA/PSO & 0.0041 & 1.5093 & 0.2486 & 0.3447 & 0 \\  & & ADN-RSN-PSO & 8.2423e\(-\)17 & 403.1810 & 26.2589 & 82.8892 & 3 \\  & & PSO-GWO & 6.4181e\(-\)278 & 4.5968e\(-\)223 & 1.5336e\(-\)224 & 0 & 30 \\  & & ISSA & 0 & 0 & 0 & 0 & 30 \\ \cline{2-8}  & & MDE & 1.6536e\(-\)07 & 9.7707e\(-\)06 & 2.9899e\(-\)06 & 2.6119e\(-\)06 & 0 \\  & & distABC & 2.2131e\(+\)05 & 2.8565e\(+\)05 & 2.5701e\(+\)05 & 1.4272e\(+\)04 & 0 \\  & & IGSA/PSO & 405.5180 & 2.5861e\(+\)03 & 1.0468e\(+\)03 & 448.9013 & 0 \\  & & ADN-RSN-PSO & 1.3639e\(-\)26 & 146.5426 & 5.9463 & 26.7914 & 6 \\  & & PSO-GWO & 7.3808e\(-\)273 & 3.3942e\(-\)226 & 1.1314e\(-\)227 & 0 & 30 \\  & & ISSA & 0 & 0 & 0 & 0 & 30 \\ \hline \multirow{8}{*}{F13} & \multirow{8}{*}{30} & MDE & 4.9141e\(-\)15 & 2.3773e\(-\)12 & 2.3077e\(-\)13 & 4.2943e\(-\)13 & 30 \\  & & distABC & 0.0019 & 0.0248 & 0.0103 & 0.0069 & 0 \\ \cline{1-1}  & & IGSA/PSO & 1.6976e\(-\)05 & 0.0101 & 0.0018 & 0.0026 & 0 \\ \cline{1-1}  & & ADN-RSN-PSO & 8.0743e\(-\)29 & 38.4053 & 2.4114 & 7.6095 & 9 \\ \cline{1-1}  & & PSO-GWO & 2.0610e\(-\)290 & 2.3985e\(-\)230 & 8.0010e\(-\)232 & 0 & 30 \\ \cline{1-1}  & & ISSA & 0 & 0 & 0 & 0 & 30 \\ \cline{1-1} \cline{2-8}  & & MDE & 4.3369e\(-\)08 & 2.3226e\(-\)06 & 5.8020e\(-\)07 & 5.5813e\(-\)07 & 0 \\ \cline{1-1}  & & distABC & 60.5866 & 437.6214 & 192.8170 & 90.6097 & 0 \\ \cline{1-1}  & & ISSA/PSO & 0 & 0.2174 & 15.5868 & 2.6151 & 3.1442 & 0 \\ \cline{1-1}  & & ADN-RSN-PSO & 2.3824e\(-\)19 & 35.9528 & 3.3225 & 9.7473 & 7 \\ \cline{1-1}  & & PSO-GWO & 4.7500e\(-\)286 & 4.9925e\(-\)230 & 2.9195e\(-\)231 & 0 & 30 \\ \cline{1-1} \cline{2-8}  & & ISSA & 0 & 0 & 0 & 0 & 30 \\ \hline \hline \end{tabular}
\end{table} 
Table 11: The convergence results of F11–F21.