Unconstrained Binary Polynomial Programs (UBPs) are a class of optimization problems relevant in a broad array of fields. In this paper, we examine an example from communication engineering, namely low autocorrelation binary sequences and propose a new dynamic programming approach that is...

Ultimate Beneficial Owners (UBOs) are defined by complex legal rules that differ across countries. Identifying UBOs is increasingly costly and time consuming. Gathering more data and refining already complex domestic legal arsenals is not the solution. We therefore propose a risk-based approach...

This work investigates optimization techniques for a multi-period vehicle allocation problem with uncertain transportation requests revealed sequentially over a rolling horizon. Policies derived from deterministic scenarios are compared: they are generated either by simple heuristics, or by more...