Mathematical Problems in Engineering / 2020 / Article / Tab 3

Research Article

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

Table 3

Comparison of algorithm running results’ IGD.

KursaweSchafferViennet2Viennet3ZDT1ZDT6

KMGWOMin0.0012680.0005480.0001950.000134.15E − 050.000336
Max0.0014670.0006060.0002210.0006635.97E − 050.000473
Mean0.0013670.0005770.0002080.0003975.06E − 050.000404
Std0.000144.1E − 051.84E − 050.0003771.28E − 059.7E − 05

MOGWOMin0.0014290.0006260.0002070.0002222.96E − 050.002448
Max0.002080.0006890.0002180.0002653.66E − 050.01636
Mean0.0017550.0006570.0002130.0002443.31E − 050.009404
Std0.0004614.47E − 057.86E − 062.99E − 054.93E − 060.009838

MOPSOMin0.0021780.0006690.000360.00020.0002670.026323
Max0.0024260.0007050.000390.0002210.0002960.030315
Mean0.0023020.0006870.0003750.000210.0002810.028319
Std0.0001752.61E − 052.08E − 051.44E − 052.11E − 050.002823

NSGA2Min0.4021720.097391.5380410.857750.0926740.134332
Max0.4100010.0973981.5927570.8708690.1097240.185229
Mean0.4060860.0973941.5653990.8643090.1011990.15978
Std0.0055365.83E − 060.038690.0092770.0120560.035989

MOEA/DMin0.0012680.0006052.33E − 050.0001053.44E − 050.000864
Max0.0041350.0006134.94E − 050.0002084.66E − 050.018473
Mean0.0027010.0006093.64E − 050.0001564.05E − 050.009668
Std0.0020275.98E − 061.85E − 057.28E − 058.6E − 060.012451

PESA2Min0.0012740.0006280.0001830.0001950.0022720.021336
Max0.0015490.0006440.0003470.0003230.0028470.052005
Mean0.0014120.0006360.0002650.0002590.002560.036671
Std0.0001941.15E − 050.0001169.05E − 050.0004070.021687

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