Abstract A recent Graph Neural Network (GNN) approach for learning to branch has been
shown to successfully reduce the running time of branch-and-bound algorithms for Mixed …

Branch-and-bound approaches in integer programming require ordering portions of the
space to explore next, a problem known as node comparison. We propose a new siamese …

While it is certainly too early to make a definitive assessment of the effectiveness of
Intelligent Transportation Systems (ITS), it is not to take stock of what has been achieved and …

The expressive and computationally inexpensive bipartite Graph Neural Networks (GNN)
have been shown to be an important component of deep learning based Mixed-Integer …

This paper conducts a literature review on freight transport service procurements (FTSP) and
explores the application of combinatorial auctions (CAs) mechanism and the mathematical …

Combinatorial auctions are widely used for the procurement of transportation services. In
these auctions, shippers act as auctioneers who need to outsource a number of …

With the growing role of distributed energy resources, the electricity network is challenged
by numerous technical problems, such as capacity congestion and over-or under-voltage …

We consider the problem setting of a less-than-truckload carrier serving stochastic customer
requests. Each request must be answered dynamically by accepting or rejecting it …

In this paper, we deal with the generation of bundles of loads to be submitted by carriers
participating in combinatorial auctions in the context of long-haul full truckload transportation …

Integrated supply chain planning is well understood by theory and widely applied in practice–
however, only with respect to intra-organisational supply chains. In inter-organisational …