Research Article

COVID-19 Propagation Prediction Model Using Improved Grey Wolf Optimization Algorithms in Combination with XGBoost and Bagging-Integrated Learning

Table 4

Optimization search results of four algorithms for standard test functions.

DEPSOGWOCOLGWO

Average value0.007169528819623764.58E − 071.74E − 270
Standard deviation0.008924343209060379.67E − 072.64E − 270
Average value2459.11866144729 44831533444.98E − 220
Standard deviation2438.7229420368315.266850179.28E − 220
Average value0.2544996573124073.41E − 059.27E − 240
Standard deviation0.6814256763075187.64E − 051.25E − 230
Average value0.004406969619568761.15E − 076.60E − 280
Standard deviation0.004890543235093371.96E − 078.25E − 280
Average value211.3429011989911129.8809793.2168227960
Standard deviation21.4117756082338421.97138174.9076232410
Average value0.004071610547935630.0331675930.0034564940
Standard deviation0.006369930452106430.0338204780.0075183880
Average value34.99089558084770.0349191372.4857017320
Standard deviation22.32833055762750.03595113312.084063810
Average value20.980574001139120.478329349.9326191464.44E − 16
Standard deviation0.1063985933675190.61818032510.411136010