Computational Intelligence and Neuroscience / 2019 / Article / Tab 6

Research Article

An Improved Grey Wolf Optimization Algorithm with Variable Weights

Table 6

MLITs and statistical results for F1.

dimAlgorithmBestWorstMeant-test (α = 0.05)Std. deviationNumber

2VW-GWO6129.901.7180e − 1931.0493100
Std. GWO71310.381.8380e − 221.2291100
PSO481093357.973.2203e − 22205.3043100
BA295941.001.3405e − 1015.8517100

10VW-GWO536659.974.1940e − 1772.7614100
Std. GWO748980.401.9792e − 802.7614100
PSO5713115109279.222.9716e − 761300.848588
BA69199779444999.047.5232e − 2625133.309678

30VW-GWO556759.851.2568e − 1222.4345100
Std. GWO718680.072.6197e − 793.3492100
PSO5549122629314.789.6390e − 831316.338496
BA72389299744189.165.2685e − 2624831.744379

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