Optimization on CEC 10 dimensions 2017
0F1 MeanMF-CMA-ES
Evaluation results
| Method | Links | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| MF-CMA-ESDimensions=10, Fitness evaluations budget=10000n, Configuration=with PPMF2025.12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 48 | 6.4 | 2.1 | 14 | 45 | 4.7 | 36 | 8.7 | 0.012 | 0.066 | 1,500 | 180 | 9.3 | 6.7 | 430 | 220 | 13 | 3.4 | 25 | 8.7 | 6.6 | 13 | 230 | 72 | 100 | 39 | 42 | 35 | 51 | 15 | 170 | 46 | 170 | 36 | 230 | 500 | 430 | 200 | 180 | 81 | 430 | 38 | 290 | 34 | 470 | 16 | 460 | 140 | 400 | 34 | 490,000 | 880,000 | |
| CMA-ES-CSADimensions=10, Fitness evaluations budget=10000n2025.12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 71 | 76 | 75 | 27 | 28 | 75 | 86 | 51 | 3,400 | 1,300 | 1,600 | 370 | 6.1 | 7.5 | 440 | 190 | 80 | 66 | 56 | 17 | 100 | 49 | 380 | 270 | 130 | 150 | 130 | 79 | 32 | 20 | 430 | 130 | 250 | 81 | 1,400 | 700 | 460 | 130 | 310 | 86 | 440 | 12 | 820 | 840 | 420 | 76 | 540 | 130 | 390 | 160 | 410,000 | 520,000 | |
| CMA-ES-PPMFDimensions=10, Fitness evaluations budget=10000n2025.12 | 0 | 0 | 8,800,000,000 | 63,000,000,000 | 0 | 0 | 0 | 0 | 55 | 26 | 1.8 | 12 | 47 | 5.3 | 36 | 8.3 | 0.0088 | 0.027 | 1,700 | 210 | 10 | 9.1 | 480 | 240 | 79 | 81 | 50 | 10 | 42 | 21 | 270 | 81 | 100 | 15 | 120 | 51 | 49 | 16 | 180 | 49 | 180 | 26 | 200 | 420 | 420 | 54 | 240 | 85 | 430 | 20 | 290 | 38 | 480 | 17 | 470 | 140 | 410 | 37 | 1,200,000 | 1,400,000 |