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University of Coimbra
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Elevating multi-task vehicle routing performance, this approach reduces solution gaps by over 21% while enhancing generalization across diverse problem variants.
A single neural net can now solve 24 different multi-depot vehicle routing problems, thanks to a clever modulation technique that adapts to varying constraints.
