# Dual-Neighborhood Tabu Search for Computing Stable Extensions in Abstract Argumentation Frameworks
## 5 Experiment
### Calibration
\begin{table}
\begin{tabular}{l l l l l l l} \hline \hline _DisturbPeriod_ & _DisturbLevel_ & _tt1_ & _tt2_ & **Best** & **Worst** & **Average** \\ \hline \(|A|\) & 0.01 & 4 & 2 & 498.37 & 713.4 & 609.092 \\ \(|A|\) & 0.01 & 4 & 4 & 783.82 & 1118.67 & 884.91 \\ \(|A|\) & 0.01 & 6 & 4 & 526.53 & 907.49 & 727.28 \\ \(|A|\) & 0.01 & 6 & 6 & 572.59 & 1119.43 & 763.35 \\ \(|A|\) & 0.0025 & 4 & 2 & 748.61 & 869.94 & 821.38 \\ \(|A|\) & 0.0025 & 4 & 4 & 537.06 & 1034.21 & 759.91 \\ \(|A|\) & 0.0025 & 6 & 4 & 625.05 & 974.94 & 750.57 \\ \(|A|\) & 0.0025 & 6 & 6 & 598.04 & 782.81 & 655.49 \\ \(|A|\) & 0.00125 & 4 & 2 & 887.08 & 1007.93 & 929.67 \\ \(|A|\) & 0.00125 & 4 & 4 & 491.88 & 546.52 & 527.54 \\ \(|A|\) & 0.00125 & 6 & 4 & 530.28 & 1107.77 & 822.3 \\ \(|A|\) & 0.00125 & 6 & 6 & 560.85 & 691.76 & 619.64 \\ \(|A|\) & 0.001 & 4 & 2 & 961.31 & 1328.85 & 1049.92 \\ \(|A|\) & 0.001 & 4 & 4 & 578.56 & 942.9 & 842.42 \\ \(|A|\) & 0.001 & 6 & 4 & 867.07 & 901.54 & 887.32 \\ \(|A|\) & 0.001 & 6 & 6 & 885.43 & 1310.33 & 1064.99 \\ \(14|A|\) & 0.01 & 4 & 2 & 493.36 & 1098.75 & 686.89 \\ \(14|A|\) & 0.01 & 4 & 4 & 598 & 2138.62 & 1070.86 \\ \(14|A|\) & 0.01 & 6 & 4 & 563.31 & 991.99 & 699.97 \\ \(14|A|\) & 0.01 & 6 & 6 & 571.73 & 1378.23 & 857.24 \\ \(14|A|\) & 0.0025 & 4 & 2 & 753.85 & 1094.87 & 870.79 \\ \(14|A|\) & 0.0025 & 4 & 4 & 667.62 & 1402.25 & 976.12 \\ \(14|A|\) & 0.0025 & 6 & 4 & 559.07 & 970.37 & 659.72 \\ \(14|A|\) & 0.0025 & 6 & 6 & 517.71 & 1248.42 & 834.15 \\ \(14|A|\) & 0.00125 & 4 & 2 & 875.8 & 1182.45 & 982.33 \\ \(14|A|\) & 0.00125 & 4 & 4 & 613.45 & 2164.91 & 1158.9 \\ \(14|A|\) & 0.00125 & 6 & 4 & 575.3 & 638.43 & 606.43 \\ \(14|A|\) & 0.00125 & 6 & 6 & 539.9 & 1744.79 & 893.24 \\ \(14|A|\) & 0.001 & 4 & 2 & 839.75 & 1304.88 & 1015.3 \\ \(14|A|\) & 0.001 & 4 & 4 & 897.97 & 1269.52 & 1033.56 \\ \(14|A|\) & 0.001 & 6 & 4 & 892.8 & 1132.67 & 1002.72 \\ \(14|A|\) & 0.001 & 6 & 6 & 936.85 & 1564.24 & 1130.73 \\ \(2000\) & 0.01 & 4 & 2 & 520.68 & 726.94 & 622.13 \\ \(2000\) & 0.01 & 4 & 4 & 672.81 & 1289.86 & 902.94 \\ \(2000\) & 0.01 & 6 & 4 & 589.02 & 887.46 & 665.27 \\ \(2000\) & 0.01 & 6 & 6 & 629.85 & 1274.51 & 822.14 \\ \(2000\) & 0.0025 & 4 & 2 & 804.39 & 1074.58 & 919.29 \\ \(2000\) & 0.0025 & 4 & 4 & 679.78 & 1011.3 & 835.49 \\ \(2000\) & 0.0025 & 6 & 4 & 895.34 & 1076.88 & 945.9 \\ \(2000\) & 0.0025 & 6 & 6 & 585.87 & 1102.71 & 784.46 \\ \(2000\) & 0.00125 & 4 & 2 & 838.07 & 1152.28 & 1018.12 \\ \(2000\) & 0.00125 & 4 & 4 & 576.31 & 1133.41 & 792.79 \\ \(2000\) & 0.00125 & 6 & 4 & 515.6 & 824.22 & 625.21 \\ \(2000\) & 0.00125 & 6 & 6 & 549.93 & 866.76 & 759.66 \\ \(2000\) & 0.001 & 4 & 2 & 893.92 & 1051.53 & 977.36 \\ \(2000\) & 0.001 & 4 & 4 & 921.28 & 1115.36 & 1053.87 \\ \(2000\) & 0.001 & 6 & 4 & 901.14 & 1106.72 & 983.8 \\ \(2000\) & 0.001 & 6 & 6 & 850.88 & 1047.12 & 1033.94 \\ \(8000\) & 0.01 & 4 & 2 & 530.02 & 787.72 & 687.41 \\ \(8000\) & 0.01 & 4 & 4 & 603.07 & 1116.43 & 838.08 \\ \(8000\) & 0.01 & 6 & 4 & 522.51 & 606.95 & 543.14 \\ \(8000\) & 0.01 & 6 & 6 & 553.83 & 1057.55 & 786.53 \\ \(8000\) & 0.0025 & 4 & 2 & 883.28 & 943.8 & 916.21 \\ \(8000\) & 0.0025 & 4 & 4 & 525.61 & 808.93 & 628.24 \\ \(8000\) & 0.0025 & 6 & 4 & 557.59 & 678.45 & 610.19 \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Experimental results for the calibration.