AIBullisharXiv – CS AI · 6h ago6/10
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RACL: Reasoning-Agent Control Layers for Continuous Metaheuristic Learning
Researchers introduce RACL, a reasoning-agent control layer that sits above existing optimization algorithms to improve their performance without modifying core constraints. Using vehicle routing as a testbed, RACL demonstrates measurable improvements over baseline policies, with potential applications across metaheuristic optimization problems.