Mathematical Problems in Engineering / 2020 / Article / Tab 4

Research Article

Energy Saving in Flow-Shop Scheduling Management: An Improved Multiobjective Model Based on Grey Wolf Optimization Algorithm

Table 4

Comparison of algorithm running results’ SP.

SPKursaweSchafferViennet2Viennet3ZDT1ZDT6

KMGWOMin1.8697050.4649790.2293261.6816360.0576980.170041
Max2.1403320.6282680.3545612.3947850.0678460.255117
Mean2.0050190.5466240.2919442.0382110.0627720.212579
Std0.1913620.1154630.0885540.5042720.0071760.060158

MOGWOMin2.0719430.5447360.3388351.6915690.0585890.082575
Max2.2556490.5880340.3956612.200730.0619410.180822
Mean2.1637960.5663850.3672481.9461490.0602650.131699
Std0.1298990.0306160.0401820.3600310.002370.069471

MOPSOMin1.8126540.5976220.4063342.2054420.0745370.309447
Max1.9488180.6012610.414422.2213220.0768960.435343
Mean1.8807360.5994410.4103772.2133820.0757160.372395
Std0.0962820.0025730.0057180.0112280.0016680.089021

NSGA2Min1.4420971.1984190.2254712.557510.3429420.245284
Max1.4905511.2285260.22992.6459840.3436570.372529
Mean1.4663241.2134720.2276852.6017470.3432990.308907
Std0.0342620.0212890.0031320.062560.0005050.089976

MOEA/DMin1.6450380.2340280.2383730.0975280.0549640.072255
Max1.6554350.2954180.3128420.1453550.0632640.15472
Mean1.6502370.2647230.2756070.1214410.0591140.113488
Std0.0073520.043410.0526580.0338190.0058690.058311

PESA2Min2.0917930.5994840.2762252.3626640.0698840.22178
Max2.1605440.6389220.342842.3982250.0760210.814949
Mean2.1261690.6192030.3095332.3804440.0729530.518364
Std0.0486140.0278870.0471040.0251450.004340.419434

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