Computational Intelligence and Neuroscience

Research Article

Dimensional Learning Strategy-Based Grey Wolf Optimizer for Solving the Global Optimization Problem

Table 8

Wilcoxon rank-sum test on benchmark functions.
DLGWO vs.GWO RWGWO learnGWO GWOCS IGWO SOGWO MGWO 
NaNNaNNaNNaNNaNNaNNaN
1.21E − 121.21E − 121.21E − 12NaNNaN1.21E − 12NaN
3.02E − 113.02E − 113.02E − 117.77E − 092.22E − 083.02E − 117.77E − 09
1.21E − 121.21E − 121.21E − 121.21E − 123.20E − 101.21E − 123.02E − 11
3.02E − 113.02E − 113.02E − 113.02E − 113.02E − 113.02E − 113.02E − 11
3.02E − 115.09E − 063.02E − 113.02E − 113.02E − 113.02E − 113.02E − 11
2.95E − 063.02E − 113.02E − 117.04E − 072.91E − 015.12E − 102.78E − 03
3.02E − 113.02E − 113.02E − 113.02E − 113.02E − 113.02E − 113.02E − 11
NaNNaNNaNNaNNaNNaNNaN
4.50E − 113.24E − 073.24E − 073.24E − 074.72E − 084.12E − 065.27E − 06
NaNNaNNaNNaNNaNNaNNaN
1.21E − 121.09E − 101.21E − 121.21E − 121.21E − 121.21E − 121.21E − 12
1.21E − 126.54E − 091.21E − 121.21E − 121.21E − 122.12E − 091.21E − 12
2.09E − 092.82E − 061.99E − 115.12E − 091.99E − 11NaN1.99E − 11
4.05E − 098.31E − 084.82E − 085.24E − 063.14E − 091.66E − 062.83E − 07
3.22E − 061.92E − 041.49E − 051.05E − 082.31E − 086.91E − 068.05E − 06
2.11E − 045.06E − 064.32E − 014.05E − 116.43E − 092.84E − 044.22E − 04
3.31E − 092.02E − 068.52E − 051.41E − 095.73E − 053.88E − 031.46E − 05
4.33E − 052.39E − 117.15E − 059.18E − 102.00E − 051.10E − 058.62E − 05
2.17E − 044.11E − 035.51E − 045.82E − 037.03E − 046.43E − 112.03E − 04
6.55E − 051.89E − 024.37E − 051.22E − 056.40E − 044.40E − 028.17E − 04
6.44E − 128.74E − 016.44E − 126.44E − 126.44E − 128.99E − 013.04E − 02
8.24E − 064.52E − 011.52E − 062.33E − 082.31E − 017.09E − 016.03E − 06