activity
20172021
most citedRobust optimization for the pooling problem

19 citations · 29 across the 6 of their papers we have counts for

collaborators

13 papers

math.OC2021

Between steps: Intermediate relaxations between big-M and convex hull formulations

Jan Kronqvist, Ruth Misener, Calvin Tsay

This work develops a class of relaxations in between the big-M and convex hull formulations of disjunctions, drawing advantages from both. The proposed "P-split" formulations split…

q-bio.QM20201 cited

Design of Experiments for Verifying Biomolecular Networks

Ruby Sedgwick, John Goertz, Molly Stevens +2

There is a growing trend in molecular and synthetic biology of using mechanistic (non machine learning) models to design biomolecular networks. Once designed, these networks need t…

math.OC20201 cited

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…

cs.DS2019

Approximate and Robust Bounded Job Start Scheduling for Royal Mail Delivery Offices

Dimitrios Letsios, Jeremy T. Bradley, Suraj G +2

Motivated by mail delivery scheduling problems arising in Royal Mail, we study a generalization of the fundamental makespan scheduling P||Cmax problem which we call the bounded job…

math.OC2019

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…

math.OC201919 cited

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…