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Ido Greenberg

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#machine learning Preprint Sep 2026

COMPASS: Ordered Clustered Routing at 100K Scale

Large-scale routing often requires visiting clusters of nodes in a prescribed order, giving rise to the Ordered Clustered Traveling Salesman Problem (OCTSP). Optimizing each cluster independently seems natural, but misses non-local dependencies. We introduce the COMPASS algorithm for OCTSP, which combines search with l...

Ido Greenberg, Hugo Linsenmaier, P. Sielski et al. · 0 citations
#reinforcement learning Open access Sep 2026

Reinforcement learning for initializing genetic algorithms in vehicle routing

This work introduces an optimization framework where a reinforcement learning agent is trained on prior instances and quickly generates initial solutions, which are then further optimized by a genetic algorithm, enabling real-time and interactive routing at scale.

Ido Greenberg, P. Sielski, Hugo Linsenmaier et al. · 1 citation

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