Reinforcement-learned neighborhood operator selection improves variable neighborhood search for vehicle routing with multiple time windows, beating adaptive VNS by 3-15% in route length while running several times faster.
On the fluid slip along a solid surface
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abstract
It is commonly assumed that fluid cannot slip along a solid surface. The experimental evidence generally supports this assumption. We demonstrate that when the change of the relative velocity of a fluid and a solid wall is sufficiently rapid, the slip does occur; the fluid is unable to adjust if acceleration is large enough, and it slips. We use droplet impact on a moving surface to demonstrate and estimate the slip length. We also estimate fluid acceleration, which is required to cause an observable slip.
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Learning to Search for Vehicle Routing with Multiple Time Windows
Reinforcement-learned neighborhood operator selection improves variable neighborhood search for vehicle routing with multiple time windows, beating adaptive VNS by 3-15% in route length while running several times faster.