# Heuristic Method for Decision-Making in Common Scheduling Problems
## 7 Experimental Results
\begin{table}
\begin{tabular}{c c c c} \hline \hline
**Problem Example** & **Obtained Total Cost** & **Percentage Error** & **Simulation Time (ms)** \\ \hline _Alg. q1_ & 22,665.17 & \(-2.020\%\) & 703 \\ _Alg. q1_\(-\widehat{s}1\) & 22,254.78 & \(-3.794\%\) & 3171 \\ _Alg. q1_\(-\widehat{s}2\) & 22,254.78 & \(-3.794\%\) & 1906 \\ _Alg. q1_\(-\widehat{s}3\) & 22,288.02 & \(-3.650\%\) & 3062 \\ _Alg. q1_\(-\widehat{s}4\) & 22,288.02 & \(-3.650\%\) & 2812 \\ _Alg. q1_\(-\widehat{s}5\) & 22,665.17 & \(-2.020\%\) & 203 \\ \hline _Alg. q2_ & 22,336.91 & \(-3.439\%\) & 390 \\ _Alg. q2_\(-\widehat{s}1\) & 22,194.99 & \(-4.052\%\) & 343 \\ _Alg. q2_\(-\widehat{s}2\) & 22,194.99 & \(-4.052\%\) & 343 \\ _Alg. q2_\(-\widehat{s}3\) & 22,215.28 & \(-3.965\%\) & 359 \\ _Alg. q2_\(-\widehat{s}4\) & 22,215.28 & \(-3.965\%\) & 281 \\ _Alg. q2_\(-\widehat{s}5\) & 22,194.99 & \(-4.052\%\) & 359 \\ \hline _Alg. q3_ & 22,274.50 & \(-3.709\%\) & 296 \\ _Alg. q3_\(-\widehat{s}1\) & 22,204.96 & \(-4.009\%\) & 437 \\ _Alg. q3_\(-\widehat{s}2\) & 22,204.96 & \(-4.009\%\) & 375 \\ _Alg. q3_\(-\widehat{s}3\) & 22,204.96 & \(-4.009\%\) & 437 \\ _Alg. q3_\(-\widehat{s}4\) & 22,204.96 & \(-4.009\%\) & 390 \\ _Alg. q3_\(-\widehat{s}5\) & 22,204.96 & \(-4.009\%\) & 437 \\ \hline \hline \end{tabular}
\end{table} 
Table 8: Obtained results for irregular network _Glr-1_ (Suboptimal cost 23,132.40). \begin{table}
\begin{tabular}{c c c c} \hline \hline
**Problem Example** & **Obtained Total Cost** & **Percentage Error** & **Simulation Time (ms)** \\ \hline _Alg. q1_ & 30,946.33 & - & 937 \\ _Alg. q1_\(-\widehat{s}1\) & 30,942.21 & - & 2812 \\ _Alg. q1_\(-\widehat{s}2\) & 30,946.33 & - & 1421 \\ _Alg. q1_\(-\widehat{s}3\) & 30,946.33 & - & 781 \\ _Alg. q1_\(-\widehat{s}4\) & 30,942.21 & - & 3187 \\ _Alg. q1_\(-\widehat{s}5\) & 30,946.33 & - & 1156 \\ \hline _Alg. q2_ & 30,557.18 & - & 609 \\ _Alg. q2_\(-\widehat{s}1\) & 30,538.75 & - & 250 \\ _Alg. q2_\(-\widehat{s}2\) & 30,538.75 & - & 250 \\ _Alg. q2_\(-\widehat{s}3\) & 30,538.75 & - & 281 \\ _Alg. q2_\(-\widehat{s}4\) & 30,538.75 & - & 250 \\ _Alg. q2_\(-\widehat{s}5\) & 30,538.75 & - & 265 \\ \hline \hline \end{tabular}
\end{table} 
Table 9: Obtained results for irregular network _Glr-2_ (suboptimal cost). \begin{table}
\begin{tabular}{c c c c} \hline \hline
**Problem Example** & **Obtained Total Cost** & **Percentage Error** & **Simulation Time (ms)** \\ \hline _Alg._\(q1\) & 30,662.32 & \(-1.542\%\) & 2250 \\ _Alg._\(q1-\widehat{s1}\) & 30,662.32 & \(-1.542\%\) & 2593 \\ _Alg._\(q1-\widehat{s2}\) & 30,662.32 & \(-1.542\%\) & 1437 \\ _Alg._\(q1-\widehat{s3}\) & 30,611.50 & \(-1.705\%\) & \(5515\) \\ _Alg._\(q1-\widehat{s4}\) & 30,662.32 & \(-1.542\%\) & 1578 \\ _Alg._\(q1-\widehat{s5}\) & 30,662.32 & \(-1.542\%\) & 5781 \\ \hline _Alg._\(q2\) & 30,628.30 & \(-1.651\%\) & 1046 \\ _Alg._\(q2-\widehat{s1}\) & 30,741.57 & \(-1.287\%\) & 234 \\ _Alg._\(q2-\widehat{s2}\) & 30,741.57 & \(-1.287\%\) & 218 \\ _Alg._\(q2-\widehat{s3}\) & 30,741.57 & \(-1.287\%\) & 328 \\ _Alg._\(q2-\widehat{s4}\) & 30,741.57 & \(-1.287\%\) & 218 \\ _Alg._\(q2-\widehat{s5}\) & 30,741.57 & \(-1.287\%\) & 203 \\ \hline _Alg._\(q3\) & 31,255.60 & 0.363\% & 328 \\ _Alg._\(q3-\widehat{s1}\) & 30,924.39 & \(-0.700\%\) & 343 \\ _Alg._\(q3-\widehat{s2}\) & 30,924.39 & \(-0.700\%\) & 328 \\ _Alg._\(q3-\widehat{s3}\) & 30,924.39 & \(-0.700\%\) & 421 \\ _Alg._\(q3-\widehat{s4}\) & 30,924.39 & \(-0.700\%\) & 328 \\ _Alg._\(q3-\widehat{s5}\) & 30,924.39 & \(-0.700\%\) & 328 \\ \hline \hline \end{tabular}
\end{table} 
Table 11: Obtained results for irregular network _Glr-4_ (Suboptimal cost 31,142.54).