Computational Intelligence and Neuroscience / 2019 / Article / Tab 7

Research Article

An Improved Grey Wolf Optimization Algorithm with Variable Weights

Table 7

MLITs and statistical results for F7.

dimAlgorithmBestWorstMeant-test (α = 0.05)Std. deviationNumber

2VW-GWO131.466.3755e − 2260.5397100
Std. GWO121.411.0070e − 2290.4943100
PSO222.0000100
BA131.028.5046e − 2690.200100

10VW-GWO597.655.7134e − 1990.9468100
Std. GWO5117.485.1288e − 1911.1413100
PSO46524.231.6196e − 8510.9829100
BA134925.295.9676e − 1096.2366100

30VW-GWO132217.149.6509e − 1671.7980100
Std. GWO153020.801.3043e − 1482.6208100
PSO54255133.325.7600e − 1242.5972100
BA4010162.681.8501e − 5311.8286100

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