Numerical Optimization on CEC 30-dimensional functions 2017
3.272Error F01SVOA
Evaluation results
| Method | Links | |||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| SVOADimension=30, Metric=mean log10 error, Independent runs=302026.05 | 3.272 | 4.791 | 2.052 | 2.009 | 1.487 | 2.296 | 1.989 | 1.693 | 3.628 | 2.734 | 8.064 | 6.824 | 4.301 | 5.354 | 3.025 | 2.644 | 5.515 | 6.255 | 2.601 | 2.493 | 2.026 | 2.657 | 2.706 | 2.628 | 3.132 | 2.748 | 2.682 | 3.052 | 6.741 | |
| DVODimension=30, Metric=mean log10 error, Independent runs=302026.05 | 7.326 | 3.594 | 1.998 | 1.764 | 1.16 | 2.097 | 1.78 | 2.087 | 3.525 | 2.304 | 8.165 | 5.463 | 3.852 | 4.982 | 2.971 | 2.576 | 5.31 | 6.624 | 2.664 | 2.42 | 2.858 | 2.622 | 2.684 | 2.606 | 3.178 | 2.725 | 2.66 | 2.979 | 7.208 | |
| PSODimension=30, Metric=mean log10 error, Independent runs=302026.05 | 7.736 | 4.568 | 2.34 | 1.949 | 1.293 | 2.116 | 1.889 | 2.415 | 3.543 | 2.255 | 7.568 | 5.604 | 4.563 | 4.075 | 2.993 | 2.54 | 5.716 | 4.252 | 2.533 | 2.46 | 3.126 | 2.755 | 2.813 | 2.632 | 3.283 | 2.778 | 2.784 | 2.957 | 5.304 | |
| GWODimension=30, Metric=mean log10 error, Independent runs=302026.05 | 10.588 | 4.672 | 2.527 | 2.194 | 1.615 | 2.385 | 2.096 | 3.383 | 3.589 | 3.048 | 9.243 | 6.477 | 5.254 | 5.985 | 3.035 | 2.663 | 6.132 | 6.793 | 2.687 | 2.523 | 3.377 | 2.721 | 2.765 | 2.76 | 3.432 | 2.775 | 2.889 | 3.029 | 7.628 | |
| EODimension=30, Metric=mean log10 error, Independent runs=302026.05 | 10.592 | 4.661 | 2.464 | 2.179 | 1.524 | 2.352 | 2.099 | 3.365 | 3.565 | 2.915 | 8.752 | 5.854 | 5.385 | 5.289 | 3.001 | 2.627 | 5.888 | 6.017 | 2.688 | 2.511 | 3.444 | 2.719 | 2.767 | 2.737 | 3.427 | 2.761 | 2.855 | 3.014 | 7.111 | |
| SCADimension=30, Metric=mean log10 error, Independent runs=302026.05 | 11.236 | 4.807 | 3.296 | 2.487 | 1.882 | 2.705 | 2.444 | 3.764 | 3.884 | 3.334 | 10.104 | 9.864 | 5.622 | 8.451 | 3.37 | 3.01 | 6.891 | 8.663 | 2.901 | 2.689 | 3.813 | 2.875 | 2.914 | 2.955 | 3.701 | 2.907 | 3.133 | 3.34 | 8.766 | |
| AOADimension=30, Metric=mean log10 error, Independent runs=302026.05 | 11.326 | 4.806 | 3.26 | 2.449 | 1.902 | 2.776 | 2.368 | 3.849 | 3.713 | 3.406 | 9.611 | 8.314 | 5.373 | 6.404 | 3.206 | 2.878 | 6.242 | 7.092 | 2.869 | 2.653 | 3.554 | 2.85 | 2.895 | 3.049 | 3.682 | 2.846 | 3.177 | 3.215 | 7.658 | |
| WOADimension=30, Metric=mean log10 error, Independent runs=302026.05 | 11.523 | 5.296 | 3.886 | 2.589 | 2.02 | 2.854 | 2.507 | 3.978 | 3.866 | 4.008 | 10.415 | 9.661 | 6.211 | 8.899 | 3.517 | 3.148 | 7.323 | 9.145 | 2.934 | 2.772 | 3.815 | 3.014 | 3.061 | 3.199 | 3.883 | 3.031 | 3.455 | 3.553 | 8.841 |