13 citations · 23 across the 13 of their papers we have counts for
4 papers · 1 filter
Taking the human out of decomposition-based optimization via artificial intelligence: Part II. Learning to initialize
Ilias Mitrai, Prodromos Daoutidis
The repeated solution of large-scale optimization problems arises frequently in process systems engineering tasks. Decomposition-based solution methods have been widely used to red…
Taking the human out of decomposition-based optimization via artificial intelligence: Part I. Learning when to decompose
Ilias Mitrai, Prodromos Daoutidis
In this paper, we propose a graph classification approach for automatically determining whether to use a monolithic or a decomposition-based solution method. In this approach, an o…
Computationally efficient solution of mixed integer model predictive control problems via machine learning aided Benders Decomposition
Ilias Mitrai, Prodromos Daoutidis
Mixed integer Model Predictive Control (MPC) problems arise in the operation of systems where discrete and continuous decisions must be taken simultaneously to compensate for distu…
Automated Characterization and Monitoring of Material Shape using Riemannian Geometry
Alexander Smith, Steven Schilling, Prodromos Daoutidis
Shape affects both the physical and chemical properties of a material. Characterizing the roughness, convexity, and general geometry of a material can yield information on its cata…