Research Article
A Memetic Differential Evolution Algorithm Based on Dynamic Preference for Constrained Optimization Problems
Table 5
Statistical results obtained by MDEDP for 10 among 13 test functions over 30 independent runs with different weighting vectors in stage one.
| fcn/opt. | Status | | | | | |
| g01/−15.0000 | Best | −15 | −15 | −15 | −15 | −15 | Median | −15 | −15 | −15 | −15 | −15 | Mean | −15 | −15 | −15 | −15 | −15 | Worst | −15 | −15 | −15 | −15 | −15 | Std. | 0 | | | | |
| g03/−1.0005 | Best | −1.0005 | −1.0005 | −1.0005 | −1.0005 | −1.0005 | Median | −1.0005 | −1.0005 | −1.0005 | −1.0005 | −1.0005 | Mean | −1.0005 | −1.0005 | −1.0005 | −1.0005 | −1.0005 | Worst | −1.0005 | −1.0005 | −1.0005 | −1.0005 | −1.0005 | Std. | | | | | |
| g05/5126.49671 | Best | 5126.49671 | 5126.49671 | 5126.49671 | 5126.49671 | 5126.49671 | Median | 5126.49671 | 5126.49671 | 5126.49671 | 5126.49671 | 5126.49671 | Mean | 5126.49671 | 5126.49671 | 5126.49671 | 5126.49671 | 5126.49671 | Worst | 5126.49671 | 5126.49671 | 5126.49671 | 5126.49671 | 5126.49671 | Std. | | | | | |
| g06/−6961.814 | Best | −6961.814 | −6961.814 | −6961.814 | −6961.814 | −6961.814 | Median | −6961.814 | −6961.814 | −6961.814 | −6961.814 | −6961.814 | Mean | −6961.814 | −6961.814 | −6961.814 | −6961.814 | −6961.814 | Worst | −6961.814 | −6952.814 | −6961.814 | −6961.814 | −6961.814 | Std. | | | | | |
| g07/24.306 | Best | 24.306 | 24.306 | 24.306 | 24.306 | 24.306 | Median | 24.306 | 24.306 | 24.306 | 24.306 | 24.306 | Mean | 24.306 | 24.306 | 24.306 | 24.306 | 24.306 | Worst | 24.306 | 24.306 | 24.306 | 24.306 | 24.306 | Std. | | | | | |
| g08/−0.095825 | Best | −0.095825 | −0.095825 | −0.095825 | −0.095825 | −0.095825 | Median | −0.095825 | −0.095825 | −0.095825 | −0.095825 | −0.095825 | Mean | −0.095825 | −0.095825 | −0.095825 | −0.095825 | −0.095825 | Worst | −0.095825 | −0.095825 | −0.095825 | −0.095825 | −0.095825 | Std. | | | | | |
| g09/680.630 | Best | 680.630 | 680.630 | 680.630 | 680.630 | 680.630 | Median | 680.630 | 680.630 | 680.630 | 680.630 | 680.630 | Mean | 680.630 | 680.630 | 680.630 | 680.630 | 680.630 | Worst | 680.630 | 680.630 | 680.630 | 680.630 | 680.630 | Std. | | | | | |
| g10/7049.248 | Best | 7049.249 | 7049.258 | 7049.252 | 7049.258 | 7049.249 | Median | 7049.257 | 7049.357 | 7049.372 | 7049.344 | 7049.250 | Mean | 7049.258 | 7049.382 | 7049.405 | 7049.370 | 7049.258 | Worst | 7049.311 | 7049.901 | 7049.773 | 7049.785 | 7049.311 | Std. | | | | | |
| g11/0.7499 | Best | 0.7499 | 0.7499 | 0.7499 | 0.7499 | 0.7499 | Median | 0.7499 | 0.7499 | 0.7499 | 0.7499 | 0.7499 | Mean | 0.7499 | 0.7499 | 0.7499 | 0.7499 | 0.7499 | Worst | 0.7499 | 0.7499 | 0.7499 | 0.7499 | 0.7499 | Std. | | | | | |
| g13/0.0539415 | Best | 0.05395415 | 0.05395415 | 0.05395415 | 0.05395415 | 0.05395415 | Median | 0.05395415 | 0.05395415 | 0.05395415 | 0.05395415 | 0.05395415 | Mean | 0.05395415 | 0.05395415 | 0.05395415 | 0.05395415 | 0.05395415 | Worst | 0.05395415 | 0.05395415 | 0.05395415 | 0.05395415 | 0.05395415 | Std. | | | | | |
|
|