Research Article

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

Table 5

Mean , standard deviation , average of CPU time (s), and gap of GAMS (%) for medium-scale instances.

Number of variablesIWOAWOAGAGA-MPCPSOSPSOGAMS
MPDSDACTMPDSDACTMPDSDACTMPDSDACTMPDSDACTMPDSDACTPDGAP

2/4/2/24160.20.02160.800.07160.300.14141.430.52130.300.0383.250.631111.257.6
2/5/2/26404.10.19186.300.24184.800.19166.230.17145.300.2499.120.621425.754.8
2/6/2/29123.30.54163.600.87207.701.14149.360.97153.901.1087.123.821450.158.2
2/7/2/212323.80.83235.011.40224.400.84197.840.73185.401.24119.704.851860.461.3
2/8/2/216005.61.50198.201.43205.801.20197.341.01193.500.90156.561.312480.562.7
2/9/2/220164.41.20218.704.10227.201.702211.52.45194.202.15138.225.322380.763.5
2/10/2/224807.62.402713.43.24258.901.902113.64.51197.302.301211.93.392180.659.1
2/5/3/29606.50.29299.460.90228.200.572711.90.43266.805.40199.730.532522.957.3
2/6/3/213686.20.672212.10.89239.200.892013.21.73205.700.99149.341.822339.158.3
2/7/3/218488.50.801813.31.34199.100.802216.11.061911.21.871213.50.582128.361.4
2/8/3/224006.82.202611.73.82610.92.402516.34.232310.32.202215.55.362783.562.7
2/9/3/2302411.51.402813.22.152311.62.552817.53.442612.12.861321.33.583013864.2
2/10/3/2372012.81.803121.53.162511.51.662514.13.49189.502.261415.37.8426158.363.6
3/3/2/25221.970.31182.990.35192.360.39207.340.67192.450.28106.130.561710.859.4
3/4/2/29125.100.86205.750.95195.811.011910.61.14184.691.02117.841.231354.356.7
3/5/2/214102.90.57196.402.30175.301.80229.922.03195.601.901210.52.012341.159.5
3/6/2/220164.30.85206.131.90203.901.421911.14.48173.201.45107.884.351950.560.2
3/7/2/227304.12.05269.213.30245.702.612012.24.43183.902.06148.234.362559.456.1
3/8/2/235525.73.702511.14.36247.502.902312.74.84206.304.001212.95.712881.357.4
3/9/2/244824.32.47276.614.95223.904.90218.424.11214.706.01158.194.433455.267.6
3/10/2/25520106.724519.511.25710.79.333914.19.603010.58.131618.413.93078.562.3
3/10/3/282809.84.804718.15.60559.105.705111.84.80559.205.501918.15.883697.974.3
4/2/2/24160.330.20191.700.20150.410.16163.450.24140.400.1094.230.121413.455.9
4/3/2/29126.10.861811.71.431612.01.321919.21.74197.041.101212.81.782351.657.5
4/4/2/216004.40.86279.701.86227.401.432415.52.31214.101.101111.91.682059.455.4
4/5/2/224802.81.38298.203.34256.202.152012.65.32184.502.15109.824.393041.161.5
4/6/2/235224.11.25277.502.32266.403.55254.7112.2203.401.33145.322.271967.762.8
4/7/2/248165.61.88317.814.08298.204.69288.854.06225.204.12189.385.483360.466.9
4/8/2/262728.044.114712.78.51416.104.203211.26.94276.707.70913.410.22480.268.4
4/9/2/279208.917.75211.512.6497.1710.83013.315.5475.9013.81810.511.33480.1172.3
4/10/2/297609.4010.65811.916.34511.814.04913.415.8478.2020.71710.211.431106.889.1
4/5/3/2372011.11.742815.32.692715.34.142220.63.602011.14.081217.63.0429135.958.0
4/6/3/2532811.33.584412.74.093911.74.093210.93.88288.563.011519.23.0240180.869.3
5/2/2/26401.600.23155.050.33164.930.34167.70.65174.970.4895.477.081714.8957.3
5/4/2/224807.582.35229.483.982212.54.242015.71.97216.192.771215.64.4919102.558.1
5/6/2/255205.793.63910.35.1338.598.562911.44.79238.419.291713.16.913878.866.0
6/4/2/235528.463.002615.14.64247.712.092215.22.88195.973.031314.33.373298.761.2