Research Article

Bi-Objective Re-Entrant Hybrid Flow Shop Scheduling considering Energy Consumption Cost under Time-of-Use Electricity Tariffs

Table 4

Comparisons of four algorithms for six test problems.

Test problemsPerformance measuresIMOALOMOALOMOPSONSGA-II

Sproblem-01-02IGDMin0.01330.09130.12820.0879
Avg0.07240.14090.17330.1896
Max0.12130.20330.26800.3088
Min0.41820.13610.13530.1261
Avg0.55390.27090.17550.2354
Max0.66110.33360.27640.3044
Min0.06220.09360.14620.0709
Avg0.09060.13790.18030.1614
Max0.13560.22540.24472415

Sproblem-02-02IGDMin0.04410.08500.06490.0837
Avg0.07180.12840.13130.1510
Max0.10220.15880.17680.1801
Min0.47760.21040.13680.1236
Avg0.61160.26880.30260.2218
Max0.76050.33480.40390.3016
Min0.11770.15010.15490.1320
Avg0.13300.17190.21130.1967
Max0.17420.22970.26050.2937

Sproblem-03-02IGDMin0.00370.04510.08180.1913
Avg0.06900.09530.10160.1246
Max0.11740.15450.12170.1771
Min0.49520.22390.15680.1047
Avg0.60020.26860.25310.2064
Max0.71760.33890.39650.3439
Min0.07140.08190.12600.1274
Avg0.11800.13580.16210.1766
Max0.17950.17170.22130.2326

Sproblem-04-02IGDMin0.03590.08750.12300.1063
Avg0.06760.12810.14940.1633
Max0.08490.19360.20880.2155
Min0.44270.16880.09030.1209
Avg0.56450.31790.20600.2678
Max0.69920.42870.37990.3596
Min0.07140.08190.09610.1274
Avg0.10110.13580.16210.1766
Max0.17210.16170.22130.2326

Sproblem-05-02IGDMin0.00310.03610.04850.0749
Avg0.04960.08960.10510.0912
Max0.09460.13390.15780.1193
Min0.48940.18390.11340.1214
Avg0.66340.29750.17270.2304
Max0.75180.38140.29560.3167
Min0.06590.08450.13320.1016
Avg0.11990.14950.17310.1642
Max0.17340.20090.20870.2034

Sproblem-06-02IGDMin0.03700.15980.12520.1359
Avg0.07380.20150.17170.1893
Max0.10610.24270.20690.2272
Min0.56930.06290.09040.1441
Avg0.74110.10920.14690.1897
Max0.87790.17210.19840.2366
Min0.05300.11770.06200.1199
Avg0.09220.15180.13720.1672
Max0.16810.20240.15970.2371