Latent Heuristic Search performs continuous optimization over learned embeddings of heuristics, using normalizing flows and LLM prompting to discover competitive solvers for TSP, CVRP, KSP, and OBP.
Computers & Operations Research140, 105643 (2022)
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Neural CFRS is a non-autoregressive one-shot framework for CVRP that uses entropic optimal transport for capacitated clustering and achieves competitive gaps on large instances.
COAgents introduces a cooperative multi-agent system with a partial search graph to guide intensification and diversification in vehicle routing problems, achieving new state-of-the-art results among learning-based methods on VRPTW benchmarks.
citing papers explorer
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Latent Heuristic Search: Continuous Optimization for Automated Algorithm Design
Latent Heuristic Search performs continuous optimization over learned embeddings of heuristics, using normalizing flows and LLM prompting to discover competitive solvers for TSP, CVRP, KSP, and OBP.
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Neural Cluster First, Route Second: One-Shot Capacitated Vehicle Routing via Differentiable Optimal Transport
Neural CFRS is a non-autoregressive one-shot framework for CVRP that uses entropic optimal transport for capacitated clustering and achieves competitive gaps on large instances.
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COAgents: Multi-Agent Framework to Learn and Navigate Routing Problems Search Space
COAgents introduces a cooperative multi-agent system with a partial search graph to guide intensification and diversification in vehicle routing problems, achieving new state-of-the-art results among learning-based methods on VRPTW benchmarks.