Traveling Salesman Problem on Traveling Salesman Problem (val)
2.504Mean Optimality GapGranite EvoTune
Evaluation Results
| Method | Links | |
|---|---|---|
| Granite EvoTuneSampling Budget=22.4k2025.04 | 2.504 | |
| Granite EvoTuneSampling Budget=16k2025.04 | 2.521 | |
| Granite FunSearchSampling Budget=22.4k2025.04 | 2.534 | |
| Granite FunSearchSampling Budget=16k2025.04 | 2.545 | |
| Granite EvoTuneSampling Budget=9.6k2025.04 | 2.546 | |
| Phi EvoTuneSampling Budget=22.4k2025.04 | 2.551 | |
| Llama EvoTuneSampling Budget=22.4k2025.04 | 2.554 | |
| Llama EvoTuneSampling Budget=16k2025.04 | 2.564 | |
| Llama FunSearchSampling Budget=22.4k2025.04 | 2.565 | |
| Granite FunSearchSampling Budget=9.6k2025.04 | 2.565 | |
| Phi EvoTuneSampling Budget=16k2025.04 | 2.567 | |
| Llama FunSearchSampling Budget=16k2025.04 | 2.575 | |
| Llama EvoTuneSampling Budget=9.6k2025.04 | 2.58 | |
| Phi FunSearchSampling Budget=22.4k2025.04 | 2.583 | |
| Phi EvoTuneSampling Budget=9.6k2025.04 | 2.589 | |
| Llama FunSearchSampling Budget=9.6k2025.04 | 2.591 | |
| Phi FunSearchSampling Budget=16k2025.04 | 2.593 | |
| Phi FunSearchSampling Budget=9.6k2025.04 | 2.61 |