1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2024
Learning-Enhanced Neighborhood Selection for the Vehicle Routing Problem with Time Windows
Willem Feijen, Guido Schäfer, Koen Dekker +1
Large Neighborhood Search (LNS) is a universal approach that is broadly applicable and has proven to be highly efficient in practice for solving optimization problems. We propose t…
cs.GT2024★ 1 cited
To Trust or Not to Trust: Assignment Mechanisms with Predictions in the Private Graph Model
Riccardo Colini-Baldeschi, Sophie Klumper, Guido Schäfer +1
The realm of algorithms with predictions has led to the development of several new algorithms that leverage (potentially erroneous) predictions to enhance their performance guarant…