Computational Intelligence and Neuroscience / 2019 / Article / Tab 9

Research Article

An Improved Grey Wolf Optimization Algorithm with Variable Weights

Table 9

Statistical analysis on the absolute errors of the selected functions (dim = 200).

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

F43.3556e − 538.7424e − 531.6051e − 462.2035e − 464.2333e − 072.9234e − 073.0178e − 076.5449e − 071.6401e − 072.1450e − 07
F800003.3307e − 177.4934e − 171.1102e − 173.5108e − 171.4466e − 141.9684e − 14
F110.01150.01930.03640.06408.383110.321312.664913.00984.7528e + 162.8097e + 16

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