Research Article

A Multifactory Integrated Production and Distribution Scheduling Problem with Parallel Machines and Immediate Shipments Solved by Improved Whale Optimization Algorithm

Table 7

Mean , standard deviation , and average of CPU time (s) for large-scale instances

Number of variablesIWOAWOAGAGA-MPCPSOSPSO
MPDSDACTMPDSDACTMPDSDACTMPDSDACTMPDSDACTMPDSDACT

3/10/3/31107010.43.105920.33.52508.043.734811.23.634017.14.502010.73.5238
3/10/3/41386014.34.46119.97.635414.74.614815.33.193925.26.902213.45.3539
3/10/3/51665017.73.796524.33.776017.21.755110.11.894427.24.422314.03.7345
4/7/3/272249.503.004310.83.89417.721.763712.14.38328.734.241813.65.6539
4/8/3/2940811.45.074015.24.60378.622.853510.25.63349.719.311511.83.9534
4/10/2/31304012.53.065814.26.634413.36.554312.65.283913.46.702114.56.5940
4/10/2/41632013.13.796317.35.645812.413.44611.69.003521.17.202514.19.7643
4/10/2/51960015.34.126818.910.95113.611.74911.65.954325.811.52411.98.7446
4/10/3/52940024.24.498026.27.037417.65.226316.45.175438.27.613022.95.7964
4/10/4/53920019.66.118721.95.698318.85.116812.53.776140.37.203722.94.8567
4/10/5/54900026.16.3910729.15.329914.64.717910.64.186342.55.324232.85.17101
5/7/3/21123517.26.095421.48.034511.57.154115.63.783518.25.101825.27.8236
5/8/3/21464012.19.705717.37.394911.68.624312.16.273815.39.052112.18.1737
5/10/4/23040010.410.68516.111.9844.488.00717.618.585917.215.43412.87.3263
5/10/5/23800016.74.549118.611.28315.812.67610.26.006820.917.43618.89.6269
5/10/5/35075021.75.9012521.87.1111913.813.58413.112.37332.711.64726.89.76103
6/4/4/2701415.82.903921.12.904411.71.383828.31.193012.32.421727.12.8440
6/8/2/2140164.8511.96212.613.8535.8612.9495.7512.3396.6732.3247.4910.342
6/10/2/2218409.0113.27110.521.1646.6416.2507.1127.1446.6819.92610.523.255
6/10/5/25460016.512.213221.318.312910.18.681218.827.279716.616.74913.414.998
7/5/5/21872512.65.946713.24.835215.237.84511.45.604219.58.802315.36.8848
7/8/4/23808020.519.67627.213.96916.019.65414.911.94723.315.22720.715.961
7/10/5/27420021.118.715326.225.11498.8123.61318.1221.510426.117.75720.821.2107
8/9/3/24708812.221.510314.231.39611.432.9827.6920.67411.721.34411.730.490
8/10/5/29680019.616.919220.419.018311.425.613910.314.411221.318.86621.213.7122
10/5/2/32030010.510.316715.314.8597.6114.2535.239.45429.5016.2246.4915.053
10/5/2/42540012.29.677212.76.297111.17.37665.8410.65514.48.852811.311.369
10/5/2/5305007.695.28799.934.82787.331.14645.237.715218.49.482411.47.9364
10/5/3/54575017.14.639919.15.83919.708.3827.816.997436.19.393420.76.9261
10/5/4/56100021.44.1115824.26.9615419.29.91299.616.909743.96.625418.98.6099
10/5/5/57625023.16.5016724.17.7815912.55.613610.15.2810943.39.435620.67.84104
10/10/2/2604009.0365.31379.3452.21385.4344.31164.1632.2959.1095.6396.6746.699
10/10/4/524200017.812.938222.519.54138.3320.43414.4818.431635.222.79031.319.4189
10/10/5/530250011.421.540315.217.63966.4020.63615.6610.132828.917.29925.618.6183
15/10/2/21356007.671202419.831122856.171022375.3296.22168.16125756.84120153
20/10/2/22408005.681413726.821153854.061803633.181003318.32146846.68153158
25/10/2/23760004.592723976.253534102.732503823.022073705.10229984.92190176
30/10/2/25412006.081624409.132044633.343244242.722204196.052541265.05305213
35/10/2/27364004.954333157.966303412.283772942.272372755.11477984.21442195
40/10/2/29616005.385304105.405114392.014663962.063553146.47547935.06442162
45/10/2/212168004.044024698.815874821.756924511.063214124.184561124.14371239
50/10/2/215020004.758634728.235954581.948254621.434014645.88975874.75667235