Research Article

Multisystem Optimization for an Integrated Production Scheduling with Resource Saving Problem in Textile Printing and Dyeing

Table 4

The average and standard deviation of IGD values obtained by the proposed MSO algorithm, MO-MFEA, and NSGA-II. The best result in each row is shown in bold font.

FunctionSim ()Subsystem no.IGD
MSOMO-MFEANSGA-II

CIHS0.977.51E-05±8.63E-064.16E-04 ± 2.67E-052.17E-03 ± 4.32E-04
9.25E-05±1.31E-055.64E-04 ± 3.28E-055.31E-03 ± 1.66E-04

CIMS0.527.36E-03±5.14E-041.19E-02 ± 4.32E-028.01E-01 ± 3.42E-02
3.42E-03±7.10E-037.48E-03 ± 3.26E-027.90E-02 ± 3.26E-02

CILS0.079.58E-03 ± 7.51E-027.84E-04±9.50E-058.06E-01 ± 2.35E-01
3.47E-04 ± 3.85E-057.84E-04±2.56E-067.65E-04 ± 2.29E-06

PIHS0.997.12E-04±2.74E-054.16E-03 ± 3.24E-037.35E-03 ± 4.26E-04
5.17E-03±6.30E-045.37E-02 ± 7.71E-025.17E-02 ± 8.92E-02

PIMS0.553.28E-03±3.52E-045.19E-03 ± 7.42E-036.45E-03 ± 4.33E-03
2.24E-02±4.16E-039.63E+01 ± 2.47E-001.58E-01 ± 3.65E-00

PILS0.0021.85E-04±1.10E-055.32E-04 ± 1.15E-052.83E-04 ± 4.02E-04
3.32E-02±1.07E-048.54E-02 ± 2.33E-036.62E-01 ± 1.24E-04

NIHS0.944.25E-02±1.18E-028.45E-00 ± 3.74E-027.90E-01 ± 5.88E-01
5.32E-05±6.58E-066.70E-04 ± 5.39E-043.51E-04 ± 4.27E-04

NIMS0.516.37E-02±5.89E-031.85E-01 ± 4.34E-018.02E-01 ± 1.48E-01
3.24E-03±6.35E-042.67E-02 ± 5.06E-027.70E-02 ± 3.18E-02

NILS0.0017.17E-03 ± 8.24E-048.15E-04±2.32E-059.06E-04 ± 3.11E-05
4.46E-00 ± 3.29E-016.14E-01±4.16E-046.54E-01 ± 4.23E-04