Combinatorial Optimization
🧬 Revolutionary framework that uses Large Language Models to automatically design Large Neighborhood Search operators for combinatorial optimization. Through synergy-aware co-evolution of destroy and repair operators, achieves near-optimal solutions with reduced computational budgets on TSP and CVRP benchmarks.
Revolutionary framework using LLMs to automatically design Large Neighborhood Search operators through synergy-aware co-evolution. Achieves near-optimal solutions on TSP and CVRP benchmarks with strong generalization.