Research Article

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

Table 3

Comparison results on benchmark functions with different dimensions.

Dim1030100200
MetricsGWODLGWOGWODLGWOGWODLGWOGWODLGWO

Mean0.00E + 000.00E + 000.00E + 000.00E + 003.92E − 2622.48E − 2862.95E − 1291.67E − 162
SD0.00E + 000.00E + 000.00E + 000.00E + 005.88E − 2630.00E + 006.44E − 1289.88E − 163

Mean0.00E + 000.00E + 000.00E + 000.00E + 000.00E + 000.00E + 002.23E − 2188.43E − 237
SD0.00E + 000.00E + 000.00E + 000.00E + 000.00E + 000.00E + 007.05E − 2175.75E − 237

Mean5.69E − 1883.86E − 2301.05E − 1566.10E − 1845.61E − 1051.52E − 1101.94E + 003.16E + 00
SD2.76E − 1878.22E − 2319.01E − 1575.41E − 1849.65E − 1057.52E − 1118.08E − 011.22E + E + 00

Mean1.09E − 2931.33E − 3225.45E − 1219.36E − 1503.16E − 262.79E − 383.91E − 011.99E − 03
SD2.24E − 2943.69E − 3236.56E − 1212.51E − 1512.35E − 266.75E − 381.52E − 011.47E − 03

Mean6.22E + 002.76E + 002.77E + 012.36E + 019.61E + 019.41E + 011.92E + 021.98E + 02
SD2.62E − 017.84E − 019.34E − 014.22E − 013.16E − 015.02E − 012.38E − 011.09E − 01

Mean7.06E − 012.53E − 085.96E − 014.55E − 071.49E + 002.50E − 032.74E + 007.29E − 01
SD5.26E − 023.12E − 083.45E − 012.46E − 077.94E − 012.41E − 041.74E + 002.24E − 01

Mean9.55E − 052.27E − 054.28E − 051.09E − 058.26E − 036.04E − 041.44E − 022.56E − 04
SD5.79E − 041.37E − 053.07E − 058.99E − 063.22E − 049.90E − 058.88E − 032.11E − 04

Mean−3.40E + 03−4.35E + 03−6.57E + 03−8.29E + 03−1.61E + 04−2.02E + 04−2.85E + 04−3.48E + 04
SD2.34E + 025.75E + 015.25E + 028.77E + 024.31E + 021.74E + 025.54E + 046.39E + 02

Mean0.00E + 000.00E + 000.00E + 000.00E + 000.00E + 000.00E + 001.14E − 130.00E + 00
SD0.00E + 000.00E + 000.00E + 000.00E + 000.00E + 000.00E + 008.84E − 140.00E + 00

Mean7.99E − 154.44E − 159.02E − 154.84E − 152.22E − 141.51E − 142.93E − 142.22E − 14
SD2.15E − 151.17E − 151.73E − 151.34E − 155.31E − 153.33E − 157.63E − 144.75E − 15

Mean0.00E + 000.00E + 000.00E + 000.00E + 000.00E + 000.00E + 000.00E + 000.00E + 00
SD0.00E + 000.00E + 000.00E + 000.00E + 000.00E + 000.00E + 000.00E + 000.00E + 00

Mean1.01E − 015.48E − 082.74E − 021.72E − 082.18E − 018.26E − 044.12E − 013.92E − 03
SD1.82E − 021.04E − 098.62E − 034.69E − 093.44E − 011.36E − 034.17E − 018.10E − 02

Mean9.67E − 014.96E − 087.02E − 012.38E − 074.72E + 004.34E − 011.51E + 012.06E + 01
SD2.01E − 015.90E − 082.18E − 015.91E − 082.16E + 019.59E − 018.10E + 006.55E + 00