research
∙
04/03/2023
Combinatorial Optimization enriched Machine Learning to solve the Dynamic Vehicle Routing Problem with Time Windows
With the rise of e-commerce and increasing customer requirements, logist...
share
research
∙
02/08/2023
Learning-based Online Optimization for Autonomous Mobility-on-Demand Fleet Control
Autonomous mobility-on-demand systems are a viable alternative to mitiga...
research
∙
01/24/2023
Explainable Data-Driven Optimization: From Context to Decision and Back Again
Data-driven optimization uses contextual information and machine learnin...
research
∙
07/27/2022
Learning with Combinatorial Optimization Layers: a Probabilistic Approach
Combinatorial optimization (CO) layers in machine learning (ML) pipeline...
research
∙
05/27/2022
Robust Counterfactual Explanations for Random Forests
Counterfactual explanations describe how to modify a feature vector in o...
research
∙
07/09/2021
Learning structured approximations of operations research problems
The design of algorithms that leverage machine learning alongside combin...
research
∙
06/11/2021
Optimal Counterfactual Explanations in Tree Ensembles
Counterfactual explanations are usually generated through heuristics tha...
research
∙
01/04/2021
Learning to solve the single machine scheduling problem with release times and sum of completion times
In this paper, we focus on the solution of a hard single machine schedul...
research
∙
03/08/2019
