List your company
ResearchFormerly WizWand

Constrained Diversity Optimisation on a280 (TSPlib) 1.0 (test)

7.49H ScoreEA
6.79326.97417.1557.3359Jun 19, 2026
Updated 4mo ago

Evaluation results

MethodLinks
EAalpha (quality constraint)=0.25, mu (population size)=502026.067.492
Greedyalpha (quality constraint)=0.25, mu (population size)=1002026.067.491
Greedyalpha (quality constraint)=0.25, mu (population size)=502026.067.481
(µ + 1) EAalpha (quality constraint)=0.25, mu (population size)=1002026.067.481
(µ + 1) EAalpha (quality constraint)=0.25, mu (population size)=502026.067.451
EAalpha (quality constraint)=0.25, mu (population size)=1002026.067.452
Tournamentalpha (quality constraint)=0.25, mu (population size)=1002026.067.451
Tournamentalpha (quality constraint)=0.25, mu (population size)=502026.067.41
EAalpha (quality constraint)=0.12, mu (population size)=1002026.067.162
EAalpha (quality constraint)=0.12, mu (population size)=502026.067.152
Tournamentalpha (quality constraint)=0.12, mu (population size)=1002026.067.151
Greedyalpha (quality constraint)=0.12, mu (population size)=1002026.067.141
(µ + 1) EAalpha (quality constraint)=0.12, mu (population size)=1002026.067.141
Greedyalpha (quality constraint)=0.12, mu (population size)=502026.067.131
Tournamentalpha (quality constraint)=0.12, mu (population size)=502026.067.111
(µ + 1) EAalpha (quality constraint)=0.12, mu (population size)=502026.067.11
Tournamentalpha (quality constraint)=0.05, mu (population size)=1002026.066.91
EAalpha (quality constraint)=0.05, mu (population size)=1002026.066.892
Tournamentalpha (quality constraint)=0.05, mu (population size)=502026.066.881
EAalpha (quality constraint)=0.05, mu (population size)=502026.066.872
Greedyalpha (quality constraint)=0.05, mu (population size)=1002026.066.851
Greedyalpha (quality constraint)=0.05, mu (population size)=502026.066.841
(µ + 1) EAalpha (quality constraint)=0.05, mu (population size)=1002026.066.841
(µ + 1) EAalpha (quality constraint)=0.05, mu (population size)=502026.066.821