Research Article
Dimensional Learning Strategy-Based Grey Wolf Optimizer for Solving the Global Optimization Problem
Table 6
Results on benchmark functions
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| | Metrics | GWO | RWGWO | learnGWO | GWOCS | IGWO | SOGWO | MGWO | DLGWO |
| | Mean | −5.99E + 03 | −7.53E + 03 | −5.27E + 03 | −4.81E + 03 | −7.29E + 03 | −4.94E + 03 | −6.51E + 03 | −8.35E + 03 | SD | 1.16E + 02 | 4.83E + 02 | 1.25E + 03 | 1.54E + 03 | 4.27E + 02 | 1.12E + 03 | 5.33E + 02 | 8.65E + 02 | Rank | 5 | 2 | 6 | 8 | 3 | 7 | 4 | 1 |
| | Mean | 0.00E + 00 | 0.00E + 00 | 0.00E + 00 | 0.00E + 00 | 0.00E + 00 | 0.00E + 00 | 0.00E + 00 | 0.00E + 00 | SD | 0.00E + 00 | 0.00E + 00 | 0.00E + 00 | 0.00E + 00 | 0.00E + 00 | 0.00E + 00 | 0.00E + 00 | 0.00E + 00 | Rank | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| | Mean | 8.97E − 15 | 7.99E − 15 | 7.99E − 15 | 7.99E − 15 | 4.44E − 15 | 8.22E − 15 | 8.05E − 15 | 4.94E − 15 | SD | 1.73E − 15 | 0.00E + 00 | 0.00E + 00 | 0.00E + 00 | 0.00E + 00 | 1.34E − 15 | 4.42E − 16 | 1.34E − 15 | Rank | 8 | 3 | 3 | 3 | 1 | 7 | 6 | 2 |
| | Mean | 0.00E + 00 | 0.00E + 00 | 0.00E + 00 | 0.00E + 00 | 0.00E + 00 | 0.00E + 00 | 0.00E + 00 | 0.00E + 00 | SD | 0.00E + 00 | 0.00E + 00 | 0.00E + 00 | 0.00E + 00 | 0.00E + 00 | 0.00E + 00 | 0.00E + 00 | 0.00E + 00 | Rank | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| | Mean | 2.76E − 02 | 4.70E − 05 | 4.57E − 02 | 6.67E − 02 | 3.46E − 02 | 2.07E − 02 | 1.12E − 01 | 1.75E − 08 | SD | 8.68E − 03 | 1.13E − 04 | 2.35E − 02 | 2.27E − 02 | 1.29E − 02 | 6.17E − 09 | 5.33E − 02 | 4.70E − 09 | Rank | 5 | 2 | 3 | 6 | 8 | 4 | 7 | 1 |
| | Mean | 7.48E − 01 | 3.57E − 07 | 5.27E − 01 | 6.66E − 01 | 5.76E − 01 | 3.08E − 07 | 7.21E − 01 | 2.42E − 07 | SD | 2.38E − 01 | 5.29E − 08 | 2.67E − 01 | 1.99E − 01 | 2.06E − 01 | 6.80E − 08 | 2.68E − 01 | 6.31E − 08 | Rank | 8 | 2 | 5 | 6 | 4 | 3 | 7 | 1 |
| Average rank for | 4.67 | 1.83 | 3.17 | 4.17 | 3.00 | 3.83 | 4.33 | 1.17 |
| Final rank for | 8 | 2 | 4 | 6 | 3 | 5 | 7 | 1 |
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