140 citations · 224 across the 3 of their papers we have counts for
3 papers
Assessing the Effectiveness of (Parallel) Branch-and-bound Algorithms
Stephen J. Maher, Ted K. Ralphs, Yuji Shinano
Empirical studies are fundamental in assessing the effectiveness of implementations of branch-and-bound algorithms. The complexity of such implementations makes empirical study dif…
A Branch-and-Cut Algorithm for Mixed Integer Bilevel Linear Optimization Problems and Its Implementation
Sahar Tahernejad, Ted K. Ralphs, Scott T. DeNegre
In this paper, we describe a comprehensive algorithmic framework for solving mixed integer bilevel linear optimization problems (MIBLPs) using a generalized branch-and-cut approach…
A Unified Framework for Multistage and Multilevel Mixed Integer Linear Optimization
Suresh Bolusani, Stefano Coniglio, Ted. K. Ralphs +1
We introduce a unified framework for the study of multilevel mixed integer linear optimization problems and multistage stochastic mixed integer linear optimization problems with re…