Research Article
An Improved Grey Wolf Optimization Algorithm with Variable Weights
Table 3
The best and worst simulation results and their corresponding algorithms (dim = 2).
| | Functions | Value | Corresponding algorithm |
| | Best fitness | | | | F1 | 1.4238e − 70 | VM-GWO | | F2 | 3.2617e − 36 | VM-GWO | | F3 | 3.6792e − 68 | VM-GWO | | F4 | 3.3655e − 66 | Std. GWO | | F7 | 7.8721e − 222 | VM-GWO | | F8 | 0 | VM-GWO, Std. GWO, PSO, BA | | F9 | 0 | VM-GWO, Std. GWO | | F11 | 2.6230e − 69 | VM-GWO |
| | Worst fitness | | | | F1 | 1.0213e − 07 | BA | | F2 | 4.1489e − 04 | BA | | F3 | 5.9510e − 08 | BA | | F4 | 2.4192e − 06 | PSO | | F7 | 1.0627e − 24 | BA | | F8 | 5.7010e − 13 | BA | | F9 | 1.0850e − 01 | ALO | | F11 | 9.9157e − 09 | BA |
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