Deep-insertion selection on Goldstein-Mayer lattices
61Mean Operation Count (N)Deep-Var
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| Deep-Vard (dimension)=40, n (independent lattices)=30, δ (Lovász condition parameter)=0.992026.04 | 61 | 504 | — | |
| SS-GGd (dimension)=40, n (independent lattices)=30, δ (Lovász condition parameter)=0.992026.04 | 61 | 572 | — | |
| Thermal-Adaptived (dimension)=40, n (independent lattices)=30, δ (Lovász condition parameter)=0.992026.04 | 64 | 681 | 5 | |
| Deep-Vard (dimension)=80, n (independent lattices)=30, δ (Lovász condition parameter)=0.992026.04 | 310 | 5,331 | — | |
| Thermal-Adaptived (dimension)=80, n (independent lattices)=30, δ (Lovász condition parameter)=0.992026.04 | 322 | 6,168 | 18 | |
| SS-GGd (dimension)=80, n (independent lattices)=30, δ (Lovász condition parameter)=0.992026.04 | 393 | 7,791 | — | |
| Deep-Vard (dimension)=120, n (independent lattices)=30, δ (Lovász condition parameter)=0.992026.04 | 781 | 20,524 | — | |
| Thermal-Adaptived (dimension)=120, n (independent lattices)=30, δ (Lovász condition parameter)=0.992026.04 | 864 | 25,007 | 39 | |
| SS-GGd (dimension)=120, n (independent lattices)=30, δ (Lovász condition parameter)=0.992026.04 | 1,421 | 36,790 | — | |
| Deep-Vard (dimension)=160, n (independent lattices)=30, δ (Lovász condition parameter)=0.992026.04 | 1,660 | 51,221 | — | |
| Thermal-Adaptived (dimension)=160, n (independent lattices)=30, δ (Lovász condition parameter)=0.992026.04 | 1,956 | 68,306 | 60 | |
| SS-GGd (dimension)=160, n (independent lattices)=30, δ (Lovász condition parameter)=0.992026.04 | 4,851 | 125,042 | — |