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Numerical Optimization on CEC 50 dimensions 2017 (F1-F30)

0Mean Objective ValueMF-CMA-ES
-136,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000782,000,000,000,000,200,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,0001,700,000,000,000,000,300,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,0002,618,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000Dec 31, 2025

Evaluation results

MethodLinks
MF-CMA-ESDimensions=50, Budget=10000n, Function=F12025.1200——————————————————————————————
MF-CMA-ESDimensions=50, Budget=10000n, Function=F32025.1200——————————————————————————————
CMA-ES-CSADimensions=50, Budget=10000n, Function=F12025.1200——————————————————————————————
CMA-ES-PPMFDimensions=50, Budget=10000n, Function=F32025.1200——————————————————————————————
CMA-ES-CSADimensions=50, Budget=10000n, Function=F52025.129.92.7——————————————————————————————
CMA-ES-PPMFDimensions=50, Budget=10000n, Function=F62025.121124——————————————————————————————
MF-CMA-ESDimensions=50, Budget=10000n, Function=F92025.121219——————————————————————————————
MF-CMA-ESDimensions=50, Budget=10000n, Function=F62025.122236——————————————————————————————
MF-CMA-ESDimensions=50, Budget=10000n, Function=F72025.12658.3——————————————————————————————
MF-CMA-ESDimensions=50, Budget=10000n, Function=F42025.126646——————————————————————————————
MF-CMA-ESDimensions=50, Budget=10000n, Function=F82025.1288180——————————————————————————————
MF-CMA-ESDimensions=50, Budget=10000n, Function=F112025.1218048——————————————————————————————
MF-CMA-ESDimensions=50, Budget=10000n, Function=F142025.1221045——————————————————————————————
MF-CMA-ESDimensions=50, Budget=10000n, Function=F52025.12220400——————————————————————————————
MF-CMA-ESDimensions=50, Budget=10000n, Function=F182025.1228097——————————————————————————————
MF-CMA-ESDimensions=50, Budget=10000n, Function=F212025.12330310——————————————————————————————
MF-CMA-ESDimensions=50, Budget=10000n, Function=F152025.12490250——————————————————————————————
MF-CMA-ESDimensions=50, Budget=10000n, Function=F282025.1249019——————————————————————————————
MF-CMA-ESDimensions=50, Budget=10000n, Function=F242025.1254034——————————————————————————————
MF-CMA-ESDimensions=50, Budget=10000n, Function=F252025.1255035——————————————————————————————
MF-CMA-ESDimensions=50, Budget=10000n, Function=F162025.121,200500——————————————————————————————
MF-CMA-ESDimensions=50, Budget=10000n, Function=F172025.121,600410——————————————————————————————
MF-CMA-ESDimensions=50, Budget=10000n, Function=F202025.121,800460——————————————————————————————
MF-CMA-ESDimensions=50, Budget=10000n, Function=F232025.122,000250——————————————————————————————
CMA-ES-PPMFDimensions=50, Budget=10000n, Function=F12025.122,0002,900——————————————————————————————
MF-CMA-ESDimensions=50, Budget=10000n, Function=F262025.122,3001,900——————————————————————————————
CMA-ES-PPMFDimensions=50, Budget=10000n, Function=F222025.122,3003,700——————————————————————————————
MF-CMA-ESDimensions=50, Budget=10000n, Function=F292025.122,4001,200——————————————————————————————
MF-CMA-ESDimensions=50, Budget=10000n, Function=F192025.122,80014,000——————————————————————————————
MF-CMA-ESDimensions=50, Budget=10000n, Function=F132025.123,0001,600——————————————————————————————
MF-CMA-ESDimensions=50, Budget=10000n, Function=F272025.123,300250——————————————————————————————
MF-CMA-ESDimensions=50, Budget=10000n, Function=F222025.123,5004,300——————————————————————————————
MF-CMA-ESDimensions=50, Budget=10000n, Function=F102025.126,8001,900——————————————————————————————
MF-CMA-ESDimensions=50, Budget=10000n, Function=F122025.1212,00027,000——————————————————————————————
CMA-ES-CSADimensions=50, Budget=10000n, Function=F92025.1226,00011,000——————————————————————————————
MF-CMA-ESDimensions=50, Budget=10000n, Function=F302025.12670,00078,000——————————————————————————————
MF-CMA-ESDimensions=50, Budget=10000n, Function=F22025.123,400,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,00024,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000——————————————————————————————
AOADimension=50, Runs=30, Metric=mean log10 error2026.05——11.734—5.1863.8292.6952.0393.0622.7274.4564.0154.00610.98610.0446.2739.0253.5223.4167.1678.583.1662.8674.0213.0763.1333.6894.0233.2013.6283.5859.074
DVODimension=50, Runs=30, Metric=mean log10 error2026.05——8.297—4.7692.2682.1371.4612.5252.2123.3563.8222.6918.9546.2165.1515.5183.1993.1586.076.9863.0032.5433.8262.7842.8062.7653.4412.8522.7273.2488.496
EODimension=50, Runs=30, Metric=mean log10 error2026.05——11.3—5.0583.2962.51.7672.7772.5344.0143.8543.62410.1638.6315.8565.6463.2893.1056.6446.9052.9932.7133.9092.9252.9463.3383.7733.053.3723.3868.502
GWODimension=50, Runs=30, Metric=mean log10 error2026.05——11.207—5.0433.3112.4581.7512.7582.514.2083.9173.75110.0619.3045.8867.8123.2813.1546.8236.8522.9742.7143.912.922.9563.2573.7223.0533.3693.3788.66
PSODimension=50, Runs=30, Metric=mean log10 error2026.05——10.944—5.1972.7842.3381.5542.5952.2883.7353.8162.61410.1188.5995.4994.9773.2273.1586.5775.6992.9632.6413.7893.0083.0562.8713.653.013.0983.2267.211
SCADimension=50, Runs=30, Metric=mean log10 error2026.05——11.777—5.2534.0632.792.0393.0462.794.484.1523.99811.17710.786.8159.8943.6493.5137.4599.713.3252.9314.1663.1323.163.7884.0353.3313.7223.7419.86
SVOADimension=50, Runs=30, Metric=mean log10 error2026.05——5.899—5.2492.3752.4191.7232.6532.4163.1043.923.5918.8537.7325.5176.8873.33.2486.3946.7663.0722.6713.5812.8552.8672.7973.5822.9282.7883.3678.459
WOADimension=50, Runs=30, Metric=mean log10 error2026.05——11.94—5.4744.3712.8362.1323.1252.8234.5594.1314.25611.48610.967.13910.2273.7853.7127.8829.8593.3153.0154.1313.283.3053.994.1533.5153.9064.1519.934