AIBullisharXiv – CS AI · Mar 37/104
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DRAGON: LLM-Driven Decomposition and Reconstruction Agents for Large-Scale Combinatorial Optimization
Researchers introduce DRAGON, a new framework that combines Large Language Models with metaheuristic optimization to solve large-scale combinatorial optimization problems. The system decomposes complex problems into manageable subproblems and achieves near-optimal results on datasets with over 3 million variables, overcoming the scalability limitations of existing LLM-based solvers.
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