Tag: logistics optimization
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LLM-Powered Automated Solver for Large-Scale CVRP
Discover how LLM-assisted Flexible MCTS automates large-scale CVRP solver design, enhancing efficiency and scalability in vehicle routing solutions.
Optimize Vehicle Routing with Federated Learning Framework
Boost vehicle routing performance and adaptability using a federated learning framework for cross-problem optimization in logistics and supply chains.
Predicting Container Service Needs to Cut Unproductive Moves
Improve container terminal efficiency by predicting service requirements and dwell times using advanced machine learning models.
LMask: Efficient Solutions for Constrained Routing Problems
Discover LMask, a novel framework using lazy masking to solve complex constrained routing problems with high-quality, feasible solutions.
CREST: Efficient Multi-Robot Warehouse Shelf Rearrangement
Discover CREST, a novel framework improving multi-robot warehouse shelf rearrangement by reducing travel, makespan, and shelf switching.