Table 6: \(Cont.\)  
\begin{table}
\begin{tabular}{c c c c c c c c c c c c c c c c c c c c c c c c c c} \hline \hline \multicolumn{12}{c}{**Instances**} & \multicolumn{12}{c}{**C\&W Savings Heuristic**} & \multicolumn{12}{c}{**V\(\overline{\text{NS}}_{\text{red}}\)**} & \multicolumn{12}{c}{**V\(\overline{\text{NS}}_{\text{full}}\)**} \\ \multicolumn{12}{c}{**Name**} & \(\mathbf{n_{k}}\) & \(\mathbf{n_{v}}\) & **m** & **n** & **Dist** & \(\mathbf{\overline{t(s)}}\) & **m** & **n** & **Dist** & \(\mathbf{\overline{t(s)}}\) & **m** & **n** & **Dist** & **Avg** & \(\mathbf{\overline{t(s)}}\) & **m** & **n** & **Dist** & **Avg** & \(\mathbf{\overline{t(s)}}\) \\ \hline C103\_C15 & 1 & 5 & - & - & - & - & - & 1 & 6 & 690.99 & 0.00036 & 1 & 3 & **575.18** & 582.02 & 4.925 & 1 & 4 & **575.18** & **575.18** & 0.623 \\ C106\_C15 & 1 & 4 & 1 & 3 & **500.32** & 13.37 & 7182.91 & 1 & 6 & 681.31 & 0.00022 & 1 & 3 & 516.60 & 524.10 & 2.100 & 1 & 3 & 516.60 & 516.60 & 1.027 \\ C202\_C15 & 1 & 5 & 1 & 4 & 714.81 & 32.23 & 7183.04 & 1 & 6 & 729.87 & 0.00034 & 1 & 4 & 617.24 & 618.66 & 29.966 & 1 & 3 & **550.32** & 550.32 & 12.454 \\ C208\_C15 & 1 & 3 & 1 & 2 & **550.02** & 15.56 & 7182.95 & 1 & 4 & 737.61 & 0.00023 & 1 & 2 & 619.73 & 619.73 & 6.976 & 1 & 2 & **550.02** & **550.02** & 22.000 \\ R102\_C15 & 1 & 7 & - & - & - & - & 1 & 9 & 950.25 & 0.00026 & 1 & 5 & **716.56** & **716.56** & 9.523 & 1 & 5 & **716.56** & **716.56** & 12.056 \\ R105\_C15 & 1 & 5 & - & - & - & - & - & 1 & 8 & 777.77 & 0.00038 & 1 & 4 & **607.96** & **607.96** & 30.850 & 1 & 4 & **607.96** & **607.96** & 25.605 \\ R202\_C15 & 1 & 3 & 1 & 3 & 719.61 & 35.36 & 7198.17 & 1 & 6 & 990.37 & 0.00043 & 1 & 2 & **593.69** & 597.79 & 8.033 & 1 & 3 & **593.69** & **593.69** & 60.988 \\ R209\_C15 & 1 & 3 & 1 & 2 & **475.10** & 10.09 & 7182.43 & 1 & 5 & 711.09 & 0.00024 & 1 & 2 & **475.10** & 519.46 & 0.712 & 1 & 1 & **475.10** & 482.30 & 77.386 \\ RC103\_C15 & 1 & 5 & - & - & - & - & - & 1 & 7 & 745.82 & 0.00035 & 1 & 4 & **616.32** & 622.10 & 1.565 & 1 & 5 & **616.32** & **616.32** & 1.803 \\ RC108\_C15 & 1 & 5 & - & - & - & - & - & 1 & 7 & 716.22 & 0.00026 & 1 & 5 & **603.87** & **603.87** & 0.214 & 1 & 5 & **603.87** & 615.11 & 0.033 \\ RC202\_C15 & 1 & 3 & 1 & 3 & **552.70** \begin{table}
\begin{tabular}{r r r r r r r r r r r r r r r r r r r r r r r r} \hline \hline \multicolumn{1}{c}{**Instances**} & \multicolumn{5}{c}{**C\&W Savings Heuristic**} & \multicolumn{5}{c}{**VNS\({}_{\text{red}}\)**} & \multicolumn{5}{c}{**VNS\({}_{\text{full}}\)**} \\ \multicolumn{1}{c}{**Name**} & \(n_{k}\) & \(n_{v}\) & **m** & **n** & **Dist** & \(\overline{t(s)}\) & **m** & **n** & **Dist** & **Avg** & **Imp(\%)** & \(\overline{t(s)}\) & **m** & **n** & **Dist** & **Avg** & **Imp(\%)** & \(\overline{t(s)}\) \\ \hline RC101\_C21 & 3 & 28 & 4 & 38 & 2467.62 & 0.004 & 4 & 23 & 2044.99 & 2274.23 & 7.84 & 294.29 & 3 & 22 & **1907.52** & **2106.42** & 14.64 & 605.26 \\ RC102\_C21 & 3 & 29 & 4 & 36 & 2385.73 & 0.005 & 4 & 22 & 2004.78 & **2035.60** & 14.68 & 516.43 & 3 & 21 & **1834.97** & 2047.79 & 14.16 & 397.12 \\ RC103\_C21 & 3 & 28 & 4 & 29 & 2189.24 & 0.004 & 3 & 20 & 1747.98 & 1933.49 & 11.68 & 393.23 & 3 & 20 & **1728.17** & **1846.23** & 15.67 & 470.22 \\ RC104\_C21 & 2 & 26 & 2 & 26 & 1710.42 & 0.004 & 2 & 19 & **1644.36** & **1686.88** & 1.38 & 322.00 & 2 & 19 & 1645.35 & 1688.65 & 1.27 & 372.96 \\ RC105\_C21 & 3 & 23 & 5 & 33 & 2482.3 & 0.005 & 3 & 20 & **1789.64** & **1821.53** & 26.62 & 471.32 & 3 & 20 & 1802.85 & 1936.87 & 21.97 & 506.77 \\ RC106\_C21 & 3 & 23 & 3 & 33 & 2142.63 & 0.005 & 3 & 20 & 1760.23 & **1797.62** & 16.10 & 584.16 & 3 & 19 & **1750.61** & 1807.42 & 15.64 & 450.61 \\ \hline \hline \end{tabular}
\end{table} 
Table 10: Computational results for large-sized random-clustered instances.