Reinforcement learning for order distribution in self-organizing logistics

With the increasing global demand for logistics, supply chains have grown a lot in volume over the last decades. To be able to operate effectively within the capacity constraints of the carriers, proper collaboration and optimization of order allocation is required. Van Berkel Logistics facilitates the transport of containers by trucks from sea...

Devising Multivariate Splits for Optimal Decision Trees

Decision trees are often desirable for classification/regression tasks thanks to their human-friendly models. Unfortunately, the construction of decision trees is a hard problem which usually implies having to rely on imperfect heuristic methods. Advancements in algorithmics and hardware processing power have rendered globally optimal trees...

Building Random Forests with Optimal Decision Trees

Decision trees are most often made using the heuristic that a series of locally optimal decisions yields a good final decision tree. Optimal decision trees omit this heuristic and exhaustively search - with many optimization techniques - for the best possible tree. In addition, training an ensemble of decision trees with some randomness has...