Computational Intelligence and Neuroscience

Research Article

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

Table 14

Wilcoxon rank-sum test on benchmark functions.
DLGWO vs.TLBO SSA SCA WOA BOA LSHADE LSHADE-c 
NaNNaNNaNNaNNaNNaNNaN
NaN1.21E − 121.21E − 121.21E − 12NaNNaNNaN
4.62E − 101.21E − 121.21E − 121.21E − 121.21E − 122.24E − 112.24E − 11
2.20E − 093.02E − 113.02E − 113.02E − 113.02E − 113.02E − 113.02E − 11
1.05E − 043.02E − 114.01E − 097.44E − 092.52E − 033.02E − 113.02E − 11
7.39E − 095.44E − 073.02E − 111.89E − 033.02E − 113.02E − 113.02E − 11
4.52E − 023.02E − 113.02E − 111.09E − 033.02E − 111.43E − 037.01E − 02
3.02E − 113.02E − 113.02E − 113.02E − 113.02E − 113.02E − 113.02E − 11
1.21E − 121.21E − 12NaNNaN1.21E − 12NaNNaN
3.02E − 113.02E − 113.02E − 118.22E − 073.02E − 119.22E − 099.22E − 09
NaN1.21E − 12NaNNaN1.62E − 02NaNNaN
3.02E − 113.02E − 113.02E − 112.26E − 043.02E − 114.89E − 022.72E − 02
5.79E − 068.56E − 042.42E − 093.48E − 043.57E − 091.37E − 018.79E − 04
2.05E − 076.55E − 064.72E − 044.64E − 091.35E − 083.18E − 072.14E − 04
1.55E − 033.04E − 056.85E − 025.36E − 022.90E − 012.83E − 021.28E − 03
3.02E − 116.55E − 103.75E − 077.20E − 108.11E − 102.61E − 041.22E − 03
1.21E − 121.21E − 125.07E − 064.29E − 024.10E − 061.22E − 025.74E − 02
4.24E − 072.27E − 067.02E − 041.74E − 026.62E − 063.02E − 113.02E − 11
3.02E − 114.40E − 086.76E − 051.11E − 066.87E − 074.50E − 014.08E − 03
1.49E − 045.84E − 054.05E − 052.87E − 044.63E − 031.32E − 061.12E − 03
6.00E − 074.77E − 063.02E − 112.13E − 013.02E − 115.91E − 035.24E − 01
6.84E − 051.70E − 051.63E − 071.66E − 036.77E − 062.90E − 027.40E − 04
3.36E − 042.58E − 064.22E − 068.02E − 031.09E − 102.60E − 045.72E − 04