Traveling Salesman Problem on Traveling Salesman Problem (test)
2.534Mean Optimality GapGranite EvoTune
Evaluation Results
| Method | Links | |
|---|---|---|
| Granite EvoTuneSampling Budget=22.4k2025.04 | 2.534 | |
| Granite EvoTuneSampling Budget=16k2025.04 | 2.546 | |
| Granite FunSearchSampling Budget=22.4k2025.04 | 2.548 | |
| Granite FunSearchSampling Budget=16k2025.04 | 2.559 | |
| Granite EvoTuneSampling Budget=9.6k2025.04 | 2.565 | |
| Llama EvoTuneSampling Budget=22.4k2025.04 | 2.566 | |
| Llama FunSearchSampling Budget=22.4k2025.04 | 2.572 | |
| Llama EvoTuneSampling Budget=16k2025.04 | 2.573 | |
| Phi EvoTuneSampling Budget=22.4k2025.04 | 2.575 | |
| Granite FunSearchSampling Budget=9.6k2025.04 | 2.575 | |
| Llama FunSearchSampling Budget=16k2025.04 | 2.58 | |
| Llama EvoTuneSampling Budget=9.6k2025.04 | 2.582 | |
| Phi EvoTuneSampling Budget=16k2025.04 | 2.592 | |
| Llama FunSearchSampling Budget=9.6k2025.04 | 2.594 | |
| Phi FunSearchSampling Budget=22.4k2025.04 | 2.611 | |
| Phi EvoTuneSampling Budget=9.6k2025.04 | 2.617 | |
| Phi FunSearchSampling Budget=16k2025.04 | 2.624 | |
| Phi FunSearchSampling Budget=9.6k2025.04 | 2.647 |