Operations Research and Cyber-Infrastructure

Python Optimization Modeling Objects (Pyomo).- Object Oriented Modeling of Multistage Stochastic Linear Programs.- Aeon: Synthesizing Scheduling Algorithms from High-Level Models.- Optimization.- A Branch-and-cut Algorithm for Integer Bilevel Linear Programs.- A Principled Approach to Mixed Integer/Linear Problem Formulation.- Experiments with Branching using General Disjunctions.- A Weight Annealing Algorithm for Solving Two-dimensional Bin Packing Problems.- Solving the Maximum Cardinality Bin Packing Problem with a Weight Annealing-Based Algorithm.- Combinatorial Design of a Stochastic Markov Decision Process.- A Primal-Dual Slack Approach to Warmstarting Interior-Point Methods for Linear Programming.- Linear Dynamic Programming and the Training of Sequence Estimators.- Applications.- Approximate Algorithms for Maximizing the Capacity of the Reverse Link in Multiple–Class CDMA Systems.- Mathematical Formulations and Metaheuristics Comparison for the Push-Tree Problem.- Two-Edge Disjoint Survivable Network Design Problem with Relays.- Generating Random Test Networks for Shortest Path Algorithms.- A Branch-and-Price Algorithm for Combined Location and Routing Problems Under Capacity Restrictions.- Using Oriented Random Search to Provide a Set of Alternative Solutions to the Capacitated Vehicle Routing Problem.- Optimizing Paths in the Presence of Spherical Impediments.- Tailoring Classifier Hyperplanes to General Metrics.- The Multi-Sensor Nuclear Threat Detection Problem.- Radiotherapy optimAl Design: An Academic Radiotherapy Treatment Design System.- Integrated Forecasting and Inventory Control for Seasonal Demand.- A Provably Good Global Routing Algorithm in Multilayer IC and MCM Layout Designs.- Eliminating Poisson's Spot with Linear Programming.