Online Bin Packing on Weibull distribution
0.17Gap (%)ReEvo
Evaluation results
| Method | Links | |
|---|---|---|
| ReEvoCapacity=500, Size=1k2026.01 | 0.17 | |
| First FitCapacity=500, Size=1k2026.01 | 0.25 | |
| Best FitCapacity=500, Size=1k2026.01 | 0.25 | |
| HSEvoCapacity=500, Size=1k2026.01 | 0.25 | |
| Best FitLLM Backbone=None, Reasoning Level=N/A2026.01 | 0.25 | |
| ReEvoLLM Backbone=GPT-4o-mini, Reasoning Level=N/A2026.01 | 0.25 | |
| MCTS-AHDLLM Backbone=GPT-4o-mini, Reasoning Level=N/A2026.01 | 0.25 | |
| ReEvoLLM Backbone=GPT-5-nano, Reasoning Level=low2026.01 | 0.25 | |
| EoHLLM Backbone=GPT-5-nano, Reasoning Level=medium2026.01 | 0.25 | |
| PathWiseLLM Backbone=GPT-4o-mini, Reasoning Level=N/A2026.01 | 0.29 | |
| MCTS-AHDLLM Backbone=GPT-5-nano, Reasoning Level=medium2026.01 | 0.29 | |
| PathWiseLLM Backbone=GPT-5-nano, Reasoning Level=medium2026.01 | 0.29 | |
| TIDECapacity=500, Size=1k2026.01 | 0.33 | |
| TIDECapacity=100, Size=10k2026.01 | 0.36 | |
| MCTS-AHDCapacity=500, Size=10k2026.01 | 0.37 | |
| EoHLLM Backbone=GPT-5-nano, Reasoning Level=low2026.01 | 0.37 | |
| PathWiseLLM Backbone=GPT-5-nano, Reasoning Level=low2026.01 | 0.37 | |
| ReEvoLLM Backbone=GPT-5-nano, Reasoning Level=medium2026.01 | 0.37 | |
| EoHLLM Backbone=GPT-4o-mini, Reasoning Level=N/A2026.01 | 0.38 | |
| EoHCapacity=500, Size=1k2026.01 | 0.41 | |
| MCTS-AHDCapacity=500, Size=1k2026.01 | 0.41 | |
| MCTS-AHDCapacity=500, Size=5k2026.01 | 0.41 | |
| ReEvoCapacity=500, Size=10k2026.01 | 0.41 | |
| MCTS-AHDLLM Backbone=GPT-5-nano, Reasoning Level=low2026.01 | 0.44 | |
| ReEvoCapacity=500, Size=5k2026.01 | 0.46 | |
| EoHCapacity=500, Size=10k2026.01 | 0.46 | |
| First FitCapacity=500, Size=10k2026.01 | 0.47 | |
| HSEvoCapacity=500, Size=10k2026.01 | 0.47 | |
| EoHCapacity=500, Size=5k2026.01 | 0.48 | |
| HSEvoLLM Backbone=GPT-5-nano, Reasoning Level=medium2026.01 | 0.48 | |
| TIDECapacity=500, Size=10k2026.01 | 0.49 | |
| Best FitCapacity=500, Size=10k2026.01 | 0.5 | |
| TIDECapacity=500, Size=5k2026.01 | 0.51 | |
| HSEvoLLM Backbone=GPT-5-nano, Reasoning Level=low2026.01 | 0.52 | |
| First FitCapacity=500, Size=5k2026.01 | 0.55 | |
| Best FitCapacity=500, Size=5k2026.01 | 0.55 | |
| HSEvoCapacity=500, Size=5k2026.01 | 0.55 | |
| First FitLLM Backbone=None, Reasoning Level=N/A2026.01 | 0.62 | |
| EoHCapacity=100, Size=10k2026.01 | 0.63 | |
| HSEvoLLM Backbone=GPT-4o-mini, Reasoning Level=N/A2026.01 | 0.66 | |
| TIDECapacity=100, Size=5k2026.01 | 0.73 | |
| ASRO-EoH2026.01 | 1.2 | |
| EoHCapacity=100, Size=5k2026.01 | 1.2 | |
| EoH2026.01 | 1.56 | |
| Best Fit2026.01 | 1.75 | |
| First Fit2026.01 | 2.02 | |
| MCTS-AHDCapacity=100, Size=10k2026.01 | 2.13 | |
| MCTS-AHDCapacity=100, Size=5k2026.01 | 2.49 | |
| ReEvoCapacity=100, Size=10k2026.01 | 3.22 | |
| TIDECapacity=100, Size=1k2026.01 | 3.33 | |
| ReEvoCapacity=100, Size=5k2026.01 | 3.4 | |
| MCTS-AHDCapacity=100, Size=1k2026.01 | 3.76 | |
| EoHCapacity=100, Size=1k2026.01 | 3.93 | |
| ReEvoCapacity=100, Size=1k2026.01 | 4.01 | |
| HSEvoCapacity=100, Size=10k2026.01 | 4.03 | |
| First FitCapacity=100, Size=10k2026.01 | 4.05 | |
| HSEvoCapacity=100, Size=5k2026.01 | 4.22 | |
| First FitCapacity=100, Size=5k2026.01 | 4.31 | |
| Best FitCapacity=100, Size=10k2026.01 | 4.36 | |
| Best FitCapacity=100, Size=5k2026.01 | 4.65 | |
| HSEvoCapacity=100, Size=1k2026.01 | 4.74 | |
| First FitCapacity=100, Size=1k2026.01 | 4.77 | |
| Best FitCapacity=100, Size=1k2026.01 | 5.02 |