Research Article

Disruption-Based Multiobjective Equilibrium Optimization Algorithm

Table 3

IGD metric results obtained by DMOEOA and five multiobjective algorithms on two-objective test functions.

ProblemMetricDMOEOAMOPSOMOALONSGAIIMOWOAMOGWO

ZDT1Ave1.30 E−021.86 E−021.91 E−012.12 E + 001.62 E−029.46E−03
Std1.22 E−035.27 E−037.20 E−022.43 E−018.63 E−032.12 E−03
++++

ZDT2Ave9.98 E−034.30 E−024.93 E−013.31 E + 001.15 E−021.04 E−02
Std1.01 E−031.18 E−011.48 E−012.61 E−011.56 E−033.37 E−03
+++++

ZDT3Ave1.47 E−025.84 E−021.22 E−012.84 E−011.72 E−021.68 E−02
Std2.18 E−034.79 E−022.81 E−025.90 E−023.08 E−035.98 E−03
++++=

ZDT4Ave2.21 E−025.78 E + 002.90 E + 019.69 E + 002.29 E−021.02 E + 01
Std2.01 E−021.92 E + 001.12 E + 013.49 E−017.75 E−031.55 E + 01
+++++

ZDT6Ave2.68 E−022.77 E + 005.82 E−016.17 E + 001.75 E−011.99 E−01
Std5.31 E−021.99 E + 007.81 E−022.38 E + 003.80 E−037.99 E−02
+++++

UF1Ave1.13 E−012.86 E−012.04 E−011.25 E + 001.69 E−011.34 E−01
Std1.95 E−021.06 E−013.15 E−021.28 E−012.50 E−024.53 E−02
+++++

UF2Ave5.31 E−022.00 E−012.12 E−014.99 E−019.60 E−027.45 E−02
Std6.98 E−033.89 E−023.33 E−025.41 E−027.79 E−038.91 E−03
+++++

UF3Ave5.81 E−016.51 E−016.80 E−011.26 E + 003.08 E−012.77 E−01
Std4.90 E−021.68 E−011.74 E−011.07 E−011.30 E−023.75 E−02
+++

UF4Ave6.48 E−029.79 E−029.12 E−021.89 E−016.92 E−026.80 E−02
Std4.60 E−036.68 E−031.77 E−025.76 E−035.92 E−035.28 E−03
+++++

UF5Ave1.88 E + 002.44 E + 002.16 E + 001.23 E+002.23 E + 001.93 E + 00
Std5.08 E−018.97 E−011.98 E−011.46 E−013.56 E−016.38 E−01
+++=

UF6Ave1.08 E + 001.12 E+ 001.10 E + 005.63 E−011.14 E + 003.48 E−01
Std2.76 E−012.62 E−013.02 E−016.80 E−025.06 E−011.48 E−02
===

UF7Ave2.18 E−012.87 E−012.73 E−012.83 E−012.68 E−018.20 E−02
Std8.66 E−021.34 E−019.77 E−021.33 E−011.25 E−011.13 E−02
+++=
l1101101029164