Research Article

Dynamically Dimensioned Search Grey Wolf Optimizer Based on Positional Interaction Information

Table 4

Experimental comparison results of the DGWO, DGWO-1, and DGWO-2 on 23 functions (m = 30).

FunctionDGWO-1 (Mean ± St. dev.)DGWO-2 (Mean ± St. dev.)DGWO (Mean ± St. dev.)

1.43E − 237 ± 0.00E + 008.73E − 32 ± 1.16E − 312.38E − 241 ± 0.00E + 00
5.60E − 118 ± 3.06E − 1493.84E − 19 ± 5.74E − 191.39E − 127 ± 7.05E − 127
6.40E − 230 ± 0.00E + 002.74E − 04 ± 1.27E − 039.45E − 232 ± 0.00E − 00
1.10E − 110 ± 5.94E − 1103.34E − 01 ± 2.48E − 013.11E − 88 ± 1.70E − 87
2.85E + 01 ± 8.56E − 022.84E + 01 ± 6.98E − 012.85E + 01 ± 1.28E − 01
7.66E − 06 ± 7.36E − 062.42E + 00 ± 7.32E − 019.70E − 06 ± 4.71E − 06
1.74E − 04 ± 1.23E − 044.35E − 03 ± 2.11E − 031.66E − 04 ± 1.40E − 04
−1.22E + 04 ± 1.08E + 03−5.97E + 03 ± 8.42E + 02−1.06E + 04 ± 2.43E + 03
0.00E + 00 ± 0.00E + 002.48E + 01 ± 1.24E + 010.00E + 00 ± 0.00E + 00
8.88E − 16 ± 0.00E + 001.15E − 14 ± 3.73E − 158.88E − 16 ± 0.00E + 00
0.00E + 00 ± 0.00E + 007.43E − 03 ± 1.11E − 020.00E + 00 ± 0.00E + 00
3.82E − 06 ± 4.75E − 062.27E − 01 ± 1.85E − 011.79E − 06 ± 2.19E − 06
5.47E − 05 ± 5.82E − 051.60E + 00 ± 4.21E − 012.49E − 05 ± 2.75E − 05
4.89E + 00 ± 5.60E + 006.69E + 00 ± 5.01E + 002.94E + 00 ± 4.43E + 00
3.76E − 04 ± 3.04E − 045.11E − 03 ± 8.56E − 033.56E − 04 ± 2.31E − 04
−1.0316 ± 1.77E − 05−1.0316 ± 2.83E − 08−1.0303 ± 5.17E − 03
0.3987 ± 1.00E − 030.3979 ± 6.65E − 070.3980 ± 2.11E − 04
3.0007 ± 1.22E − 033.0001 ± 8.14E − 053.0001 ± 2.41E − 04
−3.8566 ± 5.02E − 03−3.8617 ± 1.71E − 03−3.8590 ± 5.87E − 03
−3.12163 ± 6.50E − 02−3.2543 ± 8.34E − 02−3.1725 ± 5.27E − 02
−10.1433 ± 1.22E − 02−8.1941 ± 2.93E + 00−10.0984 ± 1.56E − 01
−10.3958 ± 6.49E − 03−9.8783 ± 1.73E + 00−10.2969 ± 2.58E − 01
−10.5221 ± 2.25E − 02−10.0848 ± 1.75E + 00−10.5334 ± 2.94E − 02
Losses (−)1419
Wins (+)63
Approximations (≈)31
Detected differences (α)0.05