IEEE Computational Intelligence Magazine - November 2021 - 51

TABLE III Mean of the approximation solutions obtained by the compared algorithms on five-tasking optimization problems.
PERFORMANCE
MTO
PROBLEM
MaT1
MaT2
MaT3
MAT4
MaT5
MaT6
MaT7
MaT8
MaT9
MaT10
TASK
T1
T2
T3
T4
T5
T1
T2
T3
T4
T5
T1
T2
T3
T4
T5
T1
T2
T3
T4
T5
T1
T2
T3
T4
T5
T1
T2
T3
T4
T5
T1
T2
T3
T4
T5
T1
T2
T3
T4
T5
T1
T2
T3
T4
T5
T1
T2
T3
T4
T5
MFEA-GSMT
VS. OTHER
//.
SOEA
8.60E+01+
8.24E+01+
9.07E+01+
7.96E+01+
8.98E+01+
8.28E+04+
1.29E+05+
1.04E+05+
9.79E+04+
9.27E+04+
4.20E+02+
4.16E+02+
4.15E+02+
4.12E+02+
4.28E+02+
8.69E+01+
6.11E+04+
6.68E+00+
8.91E+01+
1.40E+05+
4.33E+02 -
9.15E-01+
3.88E+01+
4.41E+02 -
8.97E-01+
5.72E+04+
9.20E-01+
7.29E+03+
8.13E+04+
9.03E-01+
5.99E+00+
4.27E+02 -
3.84E+01+
5.18E+00+
4.44E+02 -
1.49E+05+
1.07E+01 .
4.36E+02 -
9.38E-01+
3.95E+01 .
8.98E+04+
1.13E+01+
4.28E+02 -
9.12E-01+
4.03E+01 -
8.96E+00+
4.25E+02 -
9.27E-01+
4.01E+01 -
5.53E+03.
MFEA-GS VS. MFEA
MFEA-KLD VS. MFEA
MFEA-GS VS. MFEA-KLD
+- 37/3/10
BETTER
45
24
33
MFEA
1.29E+01+
1.21E+01+
1.38E+01+
1.35E+01+
1.34E+01+
4.48E+04+
1.94E+04+
2.87E+04+
3.34E+04+
2.28E+04+
5.92E+02+
6.13E+02+
5.53E+02+
5.82E+02+
6.46E+02+
1.58E+01+
5.49E+04+
5.13E+00+
1.62E+01+
4.44E+04+
5.98E+02+
5.35E-01+
4.44E+01+
6.29E+02+
5.28E-01+
1.41E+04+
5.57E-01+
7.76E+03 .
2.54E+04+
5.31E-01+
5.55E+00+
6.49E+02+
4.72E+01+
5.89E+00+
6.57E+02+
2.98E+04+
2.02E+01+
6.85E+02+
5.48E-01 .
5.29E+01+
1.57E+04+
2.02E+01+
6.82E+02+
5.65E-01+
5.31E+01+
2.01E+01+
6.15E+02 .
5.41E-01 .
5.33E+01+
6.53E+03 .
45/5/0
SIMILAR TO
5
26
12
MFEA-GHS
2.60E+00+
2.88E+00+
2.64E+01+
2.74E+01+
2.66E+01+
7.96E+02+
8.29E+02+
4.43E+04+
3.64E+04+
4.18E+04+
5.05E+02+
4.75E+02+
7.71E+02+
7.43E+02+
6.72E+02+
4.72E+00 -
6.52E+03+
2.01E+01+
2.74E+01+
8.15E+04+
7.03E+02+
3.48E-01 -
5.85E+01+
7.45E+02+
6.75E-01+
2.14E+03+
3.39E-01 .
7.81E+03 .
4.93E+04+
6.83E-01+
6.78E+00+
7.10E+02+
5.61E+01+
1.94E+01+
8.07E+02+
1.85E+04+
1.99E+01+
7.61E+02+
6.88E-01+
5.91E+01+
3.87E+03 .
1.98E+01+
7.53E+02+
6.52E-01+
5.86E+01+
1.98E+01+
6.96E+02 .
6.59E-01+
5.89E+01+
6.48E+03 .
44/4/2
WORSE
5
MFEA-KLD
1.15E+01+
1.02E+01+
1.10E+01+
1.28E+01+
1.22E+01+
1.54E+04+
9.73E+03+
1.73E+04+
1.22E+04+
1.24E+04+
4.16E+02+
4.38E+02+
4.08E+02+
4.14E+02+
4.29E+02+
1.47E+01+
3.45E+04+
4.47E+00 .
1.45E+01+
2.07E+04+
4.64E+02 .
5.00E-01+
4.47E+01+
4.51E+02 .
5.20E-01+
2.04E+04+
5.23E-01+
7.02E+03 -
9.31E+04+
5.18E-01+
4.56E+00+
4.73E+02 -
4.45E+01+
4.56E+00+
4.80E+02 .
2.95E+04+
9.89E+00 .
4.66E+02 -
5.21E-01 .
4.57E+01+
1.95E+04+
4.80E+00 .
4.72E+02 -
5.34E-01 .
4.49E+01 .
5.46E+00 .
4.83E+02 -
5.19E-01 .
4.72E+01 .
5.86E+03 .
31/5/14
MFEA-GS
1.33E+00 -
1.15E+00 .
1.37E+00 -
1.31E+00 .
1.37E+00 .
2.02E+02 .
4.04E+02 .
3.07E+02 .
2.59E+02 -
3.34E+02 .
2.99E+02 -
2.89E+02 -
2.73E+02 .
2.87E+02 -
3.11E+02 .
6.67E+00 .
1.40E+03 .
4.22E+00 .
6.61E+00 .
1.03E+03 .
4.89E+02 .
3.95E-01 .
2.61E+01 .
5.12E+02 .
4.22E-01 .
7.81E+02 .
3.58E-01 .
7.65E+03 .
1.69E+03 .
3.61E-01 .
4.42E+00 .
5.30E+02 .
3.05E+01 .
4.09E+00 .
5.07E+02 .
2.87E+03 .
6.80E+00 .
6.08E+02 .
5.49E-01 .
4.07E+01 .
2.60E+03 .
4.51E+00 .
5.42E+02 .
4.83E-01 .
4.29E+01 .
4.30E+00 -
5.92E+02 .
5.48E-01 .
4.42E+01 .
6.54E+03 .
0/43/7
MFEA-GSMT
1.53E+00
1.32E+00
1.66E+00
1.41E+00
1.46E+00
2.14E+02
4.37E+02
3.14E+02
3.56E+02
3.73E+02
3.46E+02
3.57E+02
2.77E+02
3.20E+02
3.29E+02
7.03E+00
1.32E+03
4.30E+00
6.40E+00
1.96E+03
5.03E+02
4.27E-01
2.70E+01
4.98E+02
4.15E-01
9.96E+02
3.51E-01
7.86E+03
1.22E+03
3.28E-01
4.09E+00
5.60E+02
3.12E+01
4.06E+00
4.88E+02
2.54E+03
9.21E+00
5.63E+02
5.56E-01
4.16E+01
3.02E+03
5.14E+00
5.58E+02
4.76E-01
4.43E+01
7.50E+00
5.95E+02
5.48E-01
4.47E+01
6.09E+03
NOVEMBER 2021 | IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE 51
IEEE Computational Intelligence Magazine - November 2021

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