Computational Intelligence and Neuroscience / 2019 / Article / Tab 4

Research Article

An Improved Grey Wolf Optimization Algorithm with Variable Weights

Table 4

Statistical analysis on the absolute errors of the selected functions (dim = 2).

FunctionsVM-GWOStd. GWOALOPSOBA
MeanStd. deviationMeanStd. deviationMeanStd. deviationMeanStd. deviationMeanStd. deviation

F17.2039e − 663.5263e − 656.59E − 286.34E − 5 [27]2.59E − 101.65E − 10 [2]1.36E − 42.02E − 4 [27]0.7736220.528134 [2]
F21.3252e − 343.5002e − 347.18E − 170.02901 [27]1.84241E − 66.58E − 7 [2]0.0421440.04542 [27]0.3345833.186022 [2]
F33.7918e − 601.1757e − 593.29E − 679.1496 [27]6.0685E − 106.34E − 10 [2]70.1256222.1192 [27]0.1153030.766036 [2]
F42.2262e − 462.8758e − 465.61E − 71.31509 [27]1.36061E − 81.81E − 9 [2]0.317047.3549 [27]0.1921850.890266 [2]
F53.6015e − 1319.0004e − 1317.8319e − 972.4767e − 962.1459e − 202.8034e − 208.4327e − 201.7396e − 191.7314e − 174.9414e − 17
F90.00470.00400.004490.00666 [27]0.03010.03290.009220.00772 [27]0.04360.0294
F100.02000.04210.04990.05260.018604490.009545 [2]0.2736740.204348 [2]1.4515750.570309 [2]
F111.2999e − 604.1057e − 606.8181e − 351.5724e − 341.1562e − 131.2486e − 132.3956e − 123.6568e − 125.0662e − 094.9926e − 09

Article of the Year Award: Outstanding research contributions of 2020, as selected by our Chief Editors. Read the winning articles.