Computational Intelligence and Neuroscience / 2019 / Article / Tab 8

Research Article

An Improved Grey Wolf Optimization Algorithm with Variable Weights

Table 8

MLITs and statistical results for F11.

dimAlgorithmBestWorstMeant-test (α = 0.05)Std. deviationNumber

2VW-GWO396.635.6526e − 1881.2363100
Std. GWO4106.663.5865e − 1861.2888100
PSO612546.351.6006e − 3726.0835100
BA56227.581.6166e − 8311.0080100

10VW-GWO1020065.572.8562e − 1243.2281100
Std. GWO1424668.682.6622e − 1141.7104100
PSO151356231.741.2116e − 6257.149094
BA15214113.195.1511e − 266.9189100

30VW-GWO491179312.241.2262e − 18194.7643100
Std. GWO65945294.453.1486e − 21160.7119100
PSO3250051086.116.0513e − 13980.338672
BA66403221.601.9072e − 5140.5854100

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