110 citations · 131 across the 5 of their papers we have counts for
5 papers · 1 filter
ROmodel: Modeling robust optimization problems in Pyomo
Johannes Wiebe, Ruth Misener
This paper introduces ROmodel, an open source Python package extending the modeling capabilities of the algebraic modeling language Pyomo to robust optimization problems. ROmodel h…
A robust approach to warped Gaussian process-constrained optimization
Johannes Wiebe, Inês Cecílio, Jonathan Dunlop +1
Optimization problems with uncertain black-box constraints, modeled by warped Gaussian processes, have recently been considered in the Bayesian optimization setting. This work intr…
Approximation Algorithms for Process Systems Engineering
Dimitrios Letsios, Radu Baltean-Lugojan, Francesco Ceccon +3
Designing and analyzing algorithms with provable performance guarantees enables efficient optimization problem solving in different application domains, e.g.\ communication network…
Robust optimization for the pooling problem
Johannes Wiebe, Inês Cecílio, Ruth Misener
The pooling problem has applications, e.g., in petrochemical refining, water networks, and supply chains and is widely studied in global optimization. To date, it has largely been…
Data-driven optimization of processes with degrading equipment
Johannes Wiebe, Inês Cecílio, Ruth Misener
In chemical and manufacturing processes, unit failures due to equipment degradation can lead to process downtime and significant costs. In this context, finding an optimal maintena…