Several chemical engineering applications demand global optimization of nonconvex
process models, including safety verification and determination of thermodynamic equilibria …

Superstructure optimization is a powerful but computationally demanding task that can be
used to select the optimal structure among many alternatives within a single optimization. In …

Tight convex and concave relaxations are of high importance in deterministic global
optimization. We present a method to tighten relaxations obtained by the McCormick …

Optimization models in the chemical process industries often include uncertain model
parameters due to uncertainties in market forces and the environment, use of reduced-order …

We learn optimal instance-specific heuristics for the global minimization of nonconvex
quadratically-constrained quadratic programs (QCQPs). Specifically, we consider …

Die vorliegende Arbeit entstand während meiner Zeit als wissenschaftlicher Mitarbeiter am
Lehrstuhl für Systemverfahrenstechnik (SVT) der RWTH Aachen. Mein Dank gilt zuallererst …

资源受限项目调度问题(简称RCPSP) 是最具代表性且难解的项目调度问题之一,
其经典问题以“资源全局受限” 为特征. 本文从新的视角考虑资源受限的特征 …

• Baltean-Lugojan et al.[BLBMT19] use neural networks (NNs) to decide how to construct
cheap outer-approximations of SDP relaxations of QCQPs that retain their strength• Ghaddar …

Formulating a control design for integer-valued inputs might be advantageous over, for
example, rounding strategies based on a real-valued solution. However, the speed of …

The resource-constrained project scheduling problem (RCPSP) aims to arrange activities to
be processed by limit renewable resources. In real life, not all resources are constrained, nor …