Additive manufacturing (AM) processes have proven to be a perfect match for topology
optimization (TO), as they are able to realize sophisticated geometries in a unique layer-by …

Starting in the late 1970s, optimization-based control has built up an impressive track record
of successful industrial applications, in particular in the petrochemical and process …

This paper presents the acados software package, a collection of solvers for fast embedded
optimization intended for fast embedded applications. Its interfaces to higher-level …

The last decade witnessed an explosion in the availability of data for operations research
applications. Motivated by this growing availability, we propose a novel schema for utilizing …

Chemical engineering applications have been a source of challenging optimization
problems for over 50 years. For many chemical process systems, detailed steady state and …

We present a primal-dual interior-point algorithm with a filter line-search method for
nonlinear programming. Local and global convergence properties of this method were …

This dissertation explores the building blocks needed to efficiently formulate and solve
optimal control problems. The premise of the thesis is that existing general-purpose solvers …

Garment folding is a ubiquitous domestic task that is difficult to automate due to the highly
deformable nature of fabrics. In this article, we propose a novel method of learning from …

Distributed energy storage devices are commonly employed as an effective approach for
addressing operational challenges introduced by the large scale integration of renewables …

Enterprise‐wide optimization (EWO) is a new emerging area that lies at the interface of
chemical engineering and operations research, and has become a major goal in the …