Synthetic Function Optimization on Typed-Mix Gradient
1.2Median Final FitnessFlattened EA
Evaluation Results
| Method | Links | |
|---|---|---|
| Flattened EAn_families=4, Active families=R, B, Z, C, D=24, budget=5,0002026.05 | 1.2 | |
| GSA Full Ensemblen_families=2, Active families=R, B, D=24, budget=5,0002026.05 | 1.4 | |
| GSA Full Ensemblen_families=6, Active families=R, B, Z, C, Cx, E, D=24, budget=5,0002026.05 | 1.4 | |
| Random Flattenedn_families=2, Active families=R, B, D=24, budget=5,0002026.05 | 2.2 | |
| Flattened EAn_families=1, Active families=R, D=24, budget=5,0002026.05 | 2.9 | |
| GSA Full Ensemblen_families=3, Active families=R, B, Z, D=24, budget=5,0002026.05 | 3.9 | |
| GSA Full Ensemblen_families=1, Active families=R, D=24, budget=5,0002026.05 | 4.3 | |
| Flattened EAn_families=3, Active families=R, B, Z, D=24, budget=5,0002026.05 | 4.9 | |
| Random Flattenedn_families=3, Active families=R, B, Z, D=24, budget=5,0002026.05 | 5.8 | |
| Flattened EAn_families=2, Active families=R, B, D=24, budget=5,0002026.05 | 6.3 | |
| GSA Full Ensemblen_families=4, Active families=R, B, Z, C, D=24, budget=5,0002026.05 | 7.5 | |
| Random Flattenedn_families=4, Active families=R, B, Z, C, D=24, budget=5,0002026.05 | 8.5 | |
| GSA Full Ensemblen_families=5, Active families=R, B, Z, C, Cx, D=24, budget=5,0002026.05 | 8.5 | |
| Random Flattenedn_families=1, Active families=R, D=24, budget=5,0002026.05 | 9.3 |