Evo-B&B: AI-guided evolutionary framework for branching policies in MILP
In brief
- Evo-B&B jointly optimizes branching and node selection policies in MILP problems.
- An AI-guided evolutionary mechanism measures behavioral similarity to maintain population diversity.
- Tests on four benchmarks show better solving efficiency than existing methods.
Researchers introduce Evo-B&B, an evolutionary framework guided by a language model to jointly optimize branching and node selection policies in mixed-integer linear programming. Results demonstrate improved solving efficiency compared to existing approaches.
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