ICS2017: 2017 INFORMS COMPUTING SOCIETY CONFERENCE

This page contains an index consisting of author-provided keywords.

4
4+1 annual block scheduling	4+1 Templates for Annual Block Scheduling
A
AC optimal power flow	Robust AC optimal power flow Global Solution Strategy for AC Network-Constrained Unit Commitment (NCUC) Problems
AC power flow	Optimal Resilient Grid Design: Distribution and Transmission systems
Acyclic constraints	Optimization via Topological Order in Presence of Acyclic constraints
Adaptive Networks	Pattern Recognition Inference Engine for IED Detection
Adaptive radiation treatment planning	CCP Optimization with Time-Dependent Uncertainty in Radiation Therapy Planning
Adaptive routing	Non-Aggressive Adaptive Routing in Traffic
Adaptive schemes	Adaptive Risk-based Array Pooling in Public Health Screening
adaptive treatment allocation	Online Decision-Making with High-Dimensional Covariates
ADMM	Real-time radiation treatment planning with optimality guarantees through ``cluster and bound'' methods
Advanced Persistent Threat	Games of Timing for Security
adversarial attribute selection	Adversarial Data Mining: A Game Theoretic Approach
Adversarial classification	Optimizing Operational Decisions in Adversarial Classification
adversarial data mining	Adversarial Data Mining: A Game Theoretic Approach
adversarial support vector machine	Adversarial Data Mining: A Game Theoretic Approach
Agent based simulation	OSPEDALE, An Agent-based Simulation System for Child Welfare Analytics
Agent-based model	Integrating statistical forecasting and agent-based models for enhanced understanding of post-hurricane electric-power system reliability
agent-based modeling	Agent-Based Mediation Modeling of a Controlled Trial to Reduce the Transmission of Multidrug-Resistant Organisms
Agent-based simulation	OSPEDALE - Agent-based Social Simulation in the Service of Child Welfare Issues
algorithm	Computing Bilevel Optimization Subject to Uncertainty
Algorithmic Design	Using Density to Identify Fixations in Gaze Data: Optimization-Based Formulations and Algorithms
Algorithms	Toward computer-assisted discovery and automated proofs of cutting plane theorems
Anatomical Model	Development and Applications of "Dose Cloud," a Tool for Large Scale Radiation Therapy Optimization Research
anchoring bias	Classification in the Presence of Anchoring Bias: A Model and an Application to Breast Cancer Diagnosis
Antithetic variates	Variance Reduction for Sequential Sampling in Stochastic Programming
appointment	Online Personalized Resource Allocation with Customer Choice
Appointment scheduling	Coordinated Appointment Scheduling for a Integrated Practice Unit
Approximate dynamic programming	Approximate Dynamic Programming for the Dispatch of Military Medical Evacuation Assets
Approximate Inference	Changing Graph Structure for Performing Fast, Approximate Inference in Graphical Models
approximation algorithms	Deterministic Approximation Algorithm For Population-Scale Personal Dietary Management
approximations	A cutting-plane approach to approximating polynomial optimization problems with small tree-width
arc routing	OAR Lib: An Open Source Arc Routing Library
Array-based testing	Adaptive Risk-based Array Pooling in Public Health Screening
Attacker	PLADD: Deterring Attacks on Cyber Systems and Moving Target Defense
attacker-defender	Enumeration Algorithms for Infrastructure Resilience Analysis
Auction algorithm	Auction Algorithms for Distributed Integer Programming Problems with a Coupling Knapsack Constraint
augmented probability simulation	Nested Augmented Simulation For Stochastic Optimization
Auto-planning	Threshold-driven Optimization for Reference-based Auto-planning
B
Batching	Optimizing the Timing and Number of Batches for Compounded Sterile Product Production in an In-Hospital Pharmacy
Batteries	Operating Batteries in the Power Grid via Optimization
Bayesian methods	The impact of prior information on the quantification of resilience-based importance measures using Bayesian kernel methods
Bayesian optimization	Multi Information Source Optimization and Warm Starts
Beam angle optimization	A two-stage method for IMPT treatment beam angle optimization incorporating internal organ motion
Behavioral Analysis	Pattern Recognition Inference Engine for IED Detection
Benders decomposition	Dynamic Scheduling of Home Health Care Patients Optimal Route Planning for Airborne Sensors (WITHDRAWN)
bi-level SA	Bi-level Stochastic Approximation
Big Data	Development and Applications of "Dose Cloud," a Tool for Large Scale Radiation Therapy Optimization Research
bilevel optimization	Computing Bilevel Optimization Subject to Uncertainty
bilevel programming	Interdiction of a Mixed-Integer Linear System
Binary search	An exact optimization framework based on an improved problem reformulation for designing optimal districts in the recycling of electronic goods
Blood screening and safety	Optimal Pooling Strategies for Nucleic Acid Testing of Donated Blood Considering Viral Load Growth Curves and Donor Characteristics
bound tightening	Relaxations for Optimal Power Flows: Recent Progress and Computational Results
bounding	A scalable bounding method for stochastic programming
Bounds	Scenario Set Partition Dual Bounds for Multistage Stochastic Programming: A Hierarchy of Bounds and a Partition Sampling Approach
Branch and Bound	Parallel Branch-and-bound Based On Ph For Stochastic Mips
Branch and Price	The Slim Branch and Price method with an application to the Hamiltonian p-median Problem
branch-and-bound	Fine-grained distributed-memory branch-and-bound tree search
Branch-and-price	Decomposition of loosely coupled integer programs: a multiobjective perspective (WITHDRAWN) Vehicle Routing Problems with Time Windows and Convex Node Costs
Branch-and-Price algorithm	Models and Algorithms for Maximum Proportional Flow Problems with Semicontinuous Restrictions
breast cancer	The role of supplemental screening and breast density information in breast cancer detection Classification in the Presence of Anchoring Bias: A Model and an Application to Breast Cancer Diagnosis
Breast milk	Optimal Decision Making in the Processing of Human Breast Milk
Bundled payment	Hospital Payment Schemes Under Competition
C
calibration	Agent-Based Mediation Modeling of a Controlled Trial to Reduce the Transmission of Multidrug-Resistant Organisms
Cancer Screening	Optimal Screening for Hepatocellular Carcinoma under Limited Resources Characterization of Colorectal Cancer Screening Choice and Behavior Trajectories
Cardinality-constrained robustness	Risk Assessment using Utility Theory for Robust Goal Programming
centrality	Identification of Essential Proteins Using Induced Stars in Protein-Protein Interaction Networks
chance constraints	On deterministic reformulations of distributionally robust joint chance constrained optimization problems
Chance-constrained programming	CCP Optimization with Time-Dependent Uncertainty in Radiation Therapy Planning
chance-constrained programs	A Polyhedral Approach For Two-Sided Chance-Constrained Programs
charging	Optimal Policies for Risk-Averse Electric Vehicle Charging with Spot Purchases
Child Welfare	OSPEDALE - Agent-based Social Simulation in the Service of Child Welfare Issues OSPEDALE, An Agent-based Simulation System for Child Welfare Analytics
Chronic disease	Robust Dynamic Programming Under Contextual Uncertainty About Model Parameters
Chronic Myeloid Leukemia	An integer programming approach to optimal cancer treatment design
classification	Classification in the Presence of Anchoring Bias: A Model and an Application to Breast Cancer Diagnosis
Close-enough traveling salesman problem	Optimal Route Planning for Airborne Sensors (WITHDRAWN)
clustering	Hierarchical Cluster Analysis Via Network Flow Duality Real-time radiation treatment planning with optimality guarantees through ``cluster and bound'' methods Clustering via independent union of cliques Physical Activity Pattern Clustering of Physically Inactive Women From The mPED Trial Length of Stay Outlier Management via Mathematical Modelling and Cluster Analysis
Colorectal Cancer	Characterization of Colorectal Cancer Screening Choice and Behavior Trajectories
column generation	A new framework for Tomotherapy treatment planning and delivery A swapping heuristic for daily nurse scheduling in operating suites A novel column-generation matheuristic to Volumetric Modulated Arc Therapy (VMAT) treatment planning Decomposition of loosely coupled integer programs: a multiobjective perspective (WITHDRAWN)
combinatorial optimization	Optimal Clustering on a Graph
competition	Quality in Competitive Fresh Produce Supply Chains with Application to Farmers' Markets
complex network analysis	Identification of Essential Proteins Using Induced Stars in Protein-Protein Interaction Networks
Complex Patients	Modeling Intervention Strategies for Complex Patients with Sepsis
computational decision analysis	Nested Augmented Simulation For Stochastic Optimization
computer-aided diagnosis	Classification in the Presence of Anchoring Bias: A Model and an Application to Breast Cancer Diagnosis
conic optimization	Warmstarting of Primal-Dual Interior Point Methods (IPMs) for Mixed Integer Second Order Cone Optimization (MISOCO)
conic programming	Minor Relaxation and SOCP Based Spatial Branch-and-Cut Method for the Optimal Power Flow Problem
connected dominating set	Integer programming for the optimal design of virtual backbones
Constraint Relaxation	Simultaneous Constraint Relaxation in Genetic Algorithms for Capacitated Facility Location Problems with Delivery Time Constraint (WITHDRAWN)
Continuation method	Computing Multiple Local Optima for OPF Problems using an Elliptical Tracing Algorithm
control	Multi-stage Stochastic Programming for the Control and Surveillance of an Agricultural Pest
Convex Hull	A Polyhedral Approach For Two-Sided Chance-Constrained Programs Snug circumscribing simplexes for convex hulls
convex optimization	Real-time radiation treatment planning with optimality guarantees through ``cluster and bound'' methods On deterministic reformulations of distributionally robust joint chance constrained optimization problems The speed optimization problem over a fixed route
convex recoloring problem	An extended formulation of the convex recoloring problem on a phylogenetic tree
convex relaxation	Relaxations for Optimal Power Flows: Recent Progress and Computational Results Incorporating Operational Flexibility in Generation Expansion Planning Through a Convex Relaxation of Unit Commitment
Convex relaxations	Optimal Resilient Grid Design: Distribution and Transmission systems
convexity	Stochastic Optimization with Decisions Truncated by Random Variables and Its Applications
coordination	Coordinated Patient Appointment Scheduling for a Multi-station Healthcare Network
Corner polyhedron	Approximation guarantees for intersection cut closures
Cost-effectiveness analysis	Data Uncertainty in Markov Chains: Application to Cost-effectiveness Analyses of Medical Innovations Challenges In Markov Modeling Of Cancer Treatment
Covert Compromise	Games of Timing for Security
critical infrastructure	Hypergraphs for Representing Cyber-Physical System Complexities and Dependencies
Critical Infrastructure Resilience	Bridging sociotechnical networks for critical infrastructure resilience: South Korean Case Study
cut generating functions	How to choose what you lift
cutting planes	Experiments with some cuts from non-split disjunctions Approximation guarantees for intersection cut closures The (not so) Trivial Lifting in Two Dimensions Toward computer-assisted discovery and automated proofs of cutting plane theorems How to choose what you lift S-Free Set and Cuts for Polynomial Optimization
cutting-planes	A cutting-plane approach to approximating polynomial optimization problems with small tree-width
cyber-physical systems	Hypergraphs for Representing Cyber-Physical System Complexities and Dependencies
Cybersecurity	Game-Theoretic Models for Allocating Honeypots in Cybersecurity Cyber Defense Based on Network Structure
D
Data driven outlier analysis	Length of Stay Outlier Management via Mathematical Modelling and Cluster Analysis
Data Envelopment Analysis	Identifying Unacceptable Radiotherapy Treatments with Robust Optimization
Data Fusion	Pattern Recognition Inference Engine for IED Detection
data mining	The $k$-Variable Adjudication Method ($k$-VAM) for Reducing Regression-Model Dimensionality and Its Application to State-Level Economic-Growth-Factor Identification
data privacy	A Moment Matching Approach for Generating Synthetic Data
data-driven optimization	Two-Stage Distributionally Robust Linear Programming over Wasserstein Balls
Decentralized optimization	Voltage regulation using limited communication
Decision Analysis	Decision Analysis Applications in Orthopaedics Optimal Discretization for Decision Analysis
decision dependent uncertainty	Nested Augmented Simulation For Stochastic Optimization
decomposition	Interdiction of a Mixed-Integer Linear System Multi-stage Stochastic Programming for the Control and Surveillance of an Agricultural Pest Scenario-Based Decomposition for Parallel Solution of the Contingency-Constrained ACOPF Stochastic Mixed Integer Programming for Design of a Microgrid under Heuristic Operation
Decomposition algorithms	Optimal Resilient Grid Design: Distribution and Transmission systems
Decomposition method	An Asynchronous Parallel Stochastic Programming Algorithm Resembling Progressive Hedging
Defender	PLADD: Deterring Attacks on Cyber Systems and Moving Target Defense
defender-attacker-defender	Enumeration Algorithms for Infrastructure Resilience Analysis
defender-attacker-defender (DAD) model	Fast Design of Wireless Mesh Networks to Defend Against Worst-Case Jamming
Demand Response	Two-Stage Stochastic Programs for Integration of Server Provisioning and Power Procurement for Energy-Efficient Data Centers
detection	The role of supplemental screening and breast density information in breast cancer detection
Deterrence	PLADD: Deterring Attacks on Cyber Systems and Moving Target Defense
diabetes	Predictive Models For Making Patient Screening Decisions
Dijkstra shortest path	Non-Aggressive Adaptive Routing in Traffic
Dilution effect	Adaptive Risk-based Array Pooling in Public Health Screening Optimal Pooling Strategies for Nucleic Acid Testing of Donated Blood Considering Viral Load Growth Curves and Donor Characteristics
dimensionality reduction	Real-time radiation treatment planning with optimality guarantees through ``cluster and bound'' methods
Directed acyclic graph	Optimization via Topological Order in Presence of Acyclic constraints
disasters	Influences of Topological Properties on The Robustness of Power Law Networks Under Spatially Correlated Failures
Discharge planning	Optimal Inpatient Discharge Planning Under Uncertainty
Discrete Optimization	Using Optimization to Define Unbiased Treatment Effect Estimators in Observational Studies
discrete-time dynamic system	A Matrix Selection Problem
discretization	Optimal Discretization for Decision Analysis
disjunctive programming	Experiments with some cuts from non-split disjunctions
disruptive events	Optimizing the Recovery of Disrupted Multi-Echelon Assembly Supply Chain Networks
Distributed and Parallel Optimization	Parallelized Interior Point Method for Security Constrained Optimal Power Flow (SCOPF)
distributed computing	Applying a New Scenario Decomposition Algorithm to Solve Stochastic Unit Commitment Problems
Distributed control	Communication-Cognizant Hybrid Voltage Control
Distributed optimization	Auction Algorithms for Distributed Integer Programming Problems with a Coupling Knapsack Constraint
distributed-memory	Fine-grained distributed-memory branch-and-bound tree search
Distribution networks	Voltage regulation using limited communication
distributional robustness	On deterministic reformulations of distributionally robust joint chance constrained optimization problems
Distributionally robust optimization	Two-Stage Distributionally Robust Linear Programming over Wasserstein Balls Distributionally Robust Newsvendor Problem with Variation Distance
Districting	An exact optimization framework based on an improved problem reformulation for designing optimal districts in the recycling of electronic goods
Dividing Rectangles (DIRECT) algorithm	Fast Design of Wireless Mesh Networks to Defend Against Worst-Case Jamming
Dose Calculation	Development and Applications of "Dose Cloud," a Tool for Large Scale Radiation Therapy Optimization Research
Drinking Water Distribution Systems	Algorithms for Identifying Optimal Inspection Paths in Pipe Networks
Drug combination	An integer programming approach to optimal cancer treatment design
Dynamic Model Simulation	Extensions to the Dynamic Optimization Modeling Tool pyomo.dae for Simulation and Model Initialization
Dynamic Optimization	Extensions to the Dynamic Optimization Modeling Tool pyomo.dae for Simulation and Model Initialization
Dynamic pricing	Exact and Heuristic Approaches to the Vehicle Ferry Revenue Management Problem
Dynamic programming	Optimal Screening for Hepatocellular Carcinoma under Limited Resources Dual approximate dynamic programming for multi-stage stochastic unit commitment Non-Aggressive Adaptive Routing in Traffic An Approximate Dynamic Programming Approach to the Shoot-Look-Shoot Weapon-Target Assignment Problem Exact and Heuristic Approaches to the Vehicle Ferry Revenue Management Problem
dynamic risk measures	Optimal Policies for Risk-Averse Electric Vehicle Charging with Spot Purchases
dynamic scheduling	Dynamic Scheduling of Home Health Care Patients
Dynamic Systems	Pattern Recognition Inference Engine for IED Detection
E
economic growth	The $k$-Variable Adjudication Method ($k$-VAM) for Reducing Regression-Model Dimensionality and Its Application to State-Level Economic-Growth-Factor Identification
Effective scenarios	Distributionally Robust Newsvendor Problem with Variation Distance
Electric Grid Resilience	Improving Power Systems Resilience to Geomagnetic Disturbances (GMDs)
electric power system	Incorporating Operational Flexibility in Generation Expansion Planning Through a Convex Relaxation of Unit Commitment
Electric Power Systems	Bridging sociotechnical networks for critical infrastructure resilience: South Korean Case Study
electric vehicles	Optimal Policies for Risk-Averse Electric Vehicle Charging with Spot Purchases
Electric-power reliability	Integrating statistical forecasting and agent-based models for enhanced understanding of post-hurricane electric-power system reliability
Electricity market	Long-term Microgrid Design in the Context of Changing Policy Objectives in Power System Planning
electronic health records	Predictive Models For Making Patient Screening Decisions
Ellipsoidal-based uncertainty	Risk Assessment using Utility Theory for Robust Goal Programming
Emergency Department	The Impact Of Implementing Full Capacity Protocol On The Operational Performance In An Emergency Department
Emergency medical dispatch	Approximate Dynamic Programming for the Dispatch of Military Medical Evacuation Assets
Emission	Long-term Microgrid Design in the Context of Changing Policy Objectives in Power System Planning
Empirical	The Impact Of Implementing Full Capacity Protocol On The Operational Performance In An Emergency Department
Energy efficiency	The speed optimization problem over a fixed route
Energy policy	Long-term Microgrid Design in the Context of Changing Policy Objectives in Power System Planning
Energy storage application domain	A modified SDDP method for a risk-averse high-dimensional multistage stochastic energy storage optimization problem
enumeration	Enumeration Algorithms for Infrastructure Resilience Analysis On the Benefits of Enumeration for Transition Models
epidemiology	A Nonlinear Programming Framework for Estimating Spatial Coupling in Disease Transmission Integrated Epidemiological and Healthcare System Modeling
estimation	High accuracy body part learning from 3D depth images
exact algorithm	Maximum Demand Rectangular Location Problem Parallel Branch-and-bound Based On Ph For Stochastic Mips
exact solution of linear systems	Efficient Validation of Basic Solutions via the Roundoff-Error-Free Factorization Framework (WITHDRAWN)
Exercise pattern	Physical Activity Pattern Clustering of Physically Inactive Women From The mPED Trial
expected utility	Stochastic Network Interdiction With Incomplete Preference
Experience of Care	A Data Driven Approach for Assessing and Improving Patient Experience of Care
expert systems	Classification in the Presence of Anchoring Bias: A Model and an Application to Breast Cancer Diagnosis
extended formulation	An extended formulation of the convex recoloring problem on a phylogenetic tree
F
facet-defining inequalities	A Matrix Selection Problem
facility location	Maximum Demand Rectangular Location Problem Simultaneous Constraint Relaxation in Genetic Algorithms for Capacitated Facility Location Problems with Delivery Time Constraint (WITHDRAWN)
FACTS devices	Optimal Resilient Grid Design: Distribution and Transmission systems
Fee-for-service	Hospital Payment Schemes Under Competition
Fixation Identification	Using Density to Identify Fixations in Gaze Data: Optimization-Based Formulations and Algorithms
Fixation Inner-Density	Using Density to Identify Fixations in Gaze Data: Optimization-Based Formulations and Algorithms
food deterioration	Quality in Competitive Fresh Produce Supply Chains with Application to Farmers' Markets
fraud	Unsupervised Bayesian Hierarchical Methods For Medical Fraud Assessment
fresh produce	Quality in Competitive Fresh Produce Supply Chains with Application to Farmers' Markets
Full Capacity Protocol	The Impact Of Implementing Full Capacity Protocol On The Operational Performance In An Emergency Department
fully synthetic data	A Moment Matching Approach for Generating Synthetic Data
functional approximation	An Approximate Dynamic Programming Approach to the Shoot-Look-Shoot Weapon-Target Assignment Problem
G
Game theory	Game-Theoretic Models for Allocating Honeypots in Cybersecurity PLADD: Deterring Attacks on Cyber Systems and Moving Target Defense Games of Timing for Security Hospital Payment Schemes Under Competition Fast Design of Wireless Mesh Networks to Defend Against Worst-Case Jamming
Games of Timing	Games of Timing for Security
gas transmission network	Learning and Control in Physical Flow Networks
Gaze Data	Using Density to Identify Fixations in Gaze Data: Optimization-Based Formulations and Algorithms
generation expansion planning	Incorporating Operational Flexibility in Generation Expansion Planning Through a Convex Relaxation of Unit Commitment
Genetic Algorithm	Algorithms for Identifying Optimal Inspection Paths in Pipe Networks
Genetic Algorithms	Simultaneous Constraint Relaxation in Genetic Algorithms for Capacitated Facility Location Problems with Delivery Time Constraint (WITHDRAWN)
Geomagnetic Disturbances	Improving Power Systems Resilience to Geomagnetic Disturbances (GMDs)
Geometry	Snug circumscribing simplexes for convex hulls
Global Optimization	Global Solution Strategy for AC Network-Constrained Unit Commitment (NCUC) Problems Minor Relaxation and SOCP Based Spatial Branch-and-Cut Method for the Optimal Power Flow Problem
Global solution	Computing Multiple Local Optima for OPF Problems using an Elliptical Tracing Algorithm
Gradient descent	Optimization via Topological Order in Presence of Acyclic constraints
graph clustering	Optimal Clustering on a Graph
Graphical Models	Changing Graph Structure for Performing Fast, Approximate Inference in Graphical Models
Greedy Search	Algorithms for Identifying Optimal Inspection Paths in Pipe Networks
green computing	Data Centers as Dispatchable Loads to Harness Stranded Power
H
Hamiltonian p-median problem	The Slim Branch and Price method with an application to the Hamiltonian p-median Problem
Health care	OSPEDALE - Agent-based Social Simulation in the Service of Child Welfare Issues OSPEDALE, An Agent-based Simulation System for Child Welfare Analytics
health care management	Optimal Screening for Hepatocellular Carcinoma under Limited Resources
health screening	Predictive Models For Making Patient Screening Decisions
healthcare	Integrated Epidemiological and Healthcare System Modeling Online Personalized Resource Allocation with Customer Choice Agent-Based Mediation Modeling of a Controlled Trial to Reduce the Transmission of Multidrug-Resistant Organisms Optimal Pooling Strategies for Nucleic Acid Testing of Donated Blood Considering Viral Load Growth Curves and Donor Characteristics Optimal Inpatient Discharge Planning Under Uncertainty Algorithmic Weight Loss Program Design with Behavioral Analytics Coordinated Patient Appointment Scheduling for a Multi-station Healthcare Network
healthcare access	Quantifying Uncertainty of Healthcare Access Measures Derived by Optimization
Healthcare analytics	Robust Wait Time Estimation in Resource Allocation Systems with an Application to Kidney Allocation Jumping the Line, Charitably: Analysis and Remedy of the Donor-Priority Rule
healthcare fraud detection	Unsupervised Bayesian Hierarchical Methods For Medical Fraud Assessment
Healthcare payment policy	Hospital Payment Schemes Under Competition
Heavy-tail and state dependent stochastic processes	A modified SDDP method for a risk-averse high-dimensional multistage stochastic energy storage optimization problem
Hepatitis C	Prioritizing Hepatitis C Treatment in U.S. Prisons
Heuristic	A novel column-generation matheuristic to Volumetric Modulated Arc Therapy (VMAT) treatment planning A constructive heuristic and bounds for optimal open-stope underground mine design
Heuristics	Coordinated Appointment Scheduling for a Integrated Practice Unit
hierarchical Bayesian methods	Unsupervised Bayesian Hierarchical Methods For Medical Fraud Assessment
High dimensional multistage stochastic optimization	A modified SDDP method for a risk-averse high-dimensional multistage stochastic energy storage optimization problem
high-dimensional statistics	Online Decision-Making with High-Dimensional Covariates
high-performance computing	Data Centers as Dispatchable Loads to Harness Stranded Power
home health care	Dynamic Scheduling of Home Health Care Patients
Honeypots	Game-Theoretic Models for Allocating Honeypots in Cybersecurity
Hospital Operations	Physiology-Based Anticipative ICU Management
hypergraphs	Hypergraphs for Representing Cyber-Physical System Complexities and Dependencies
I
ICU Management	Physiology-Based Anticipative ICU Management
IED	Pattern Recognition Inference Engine for IED Detection
Image Processing	Pattern Recognition Inference Engine for IED Detection
importance measures	The impact of prior information on the quantification of resilience-based importance measures using Bayesian kernel methods
improvement heuristics	A swapping heuristic for daily nurse scheduling in operating suites
incomplete preferences	Stochastic Network Interdiction With Incomplete Preference
Inconvenience cost	Vehicle Routing Problems with Time Windows and Convex Node Costs
index-policy	Prioritizing Hepatitis C Treatment in U.S. Prisons
Inference Engine	Pattern Recognition Inference Engine for IED Detection
infrastructure	Enumeration Algorithms for Infrastructure Resilience Analysis
infrastructure systems	The impact of prior information on the quantification of resilience-based importance measures using Bayesian kernel methods
Inpatient Length of Stay	Length of Stay Outlier Management via Mathematical Modelling and Cluster Analysis
Insurance Claims	Characterization of Colorectal Cancer Screening Choice and Behavior Trajectories
integer programming	Interdiction of a Mixed-Integer Linear System The Slim Branch and Price method with an application to the Hamiltonian p-median Problem Solving The Undirected Network-Diversion Problem in Polynomial Time An exact optimization framework based on an improved problem reformulation for designing optimal districts in the recycling of electronic goods Auction Algorithms for Distributed Integer Programming Problems with a Coupling Knapsack Constraint A cutting-plane approach to approximating polynomial optimization problems with small tree-width The (not so) Trivial Lifting in Two Dimensions Toward computer-assisted discovery and automated proofs of cutting plane theorems Integer programming for the optimal design of virtual backbones Incorporating Operational Flexibility in Generation Expansion Planning Through a Convex Relaxation of Unit Commitment Decomposition of loosely coupled integer programs: a multiobjective perspective (WITHDRAWN) Polynomial Time Instance of the Maximum Weighted Co-2-Plex Problem A constructive heuristic and bounds for optimal open-stope underground mine design An extended formulation of the convex recoloring problem on a phylogenetic tree Stochastic Mixed Integer Programming for Design of a Microgrid under Heuristic Operation Exact and Heuristic Approaches to the Vehicle Ferry Revenue Management Problem
intensity modulated proton therapy	A two-stage method for IMPT treatment beam angle optimization incorporating internal organ motion
interdependent networks	Computational Aspects of Resilience-Driven Restoration of Interdependent Networks
interdiction	Interdiction of a Mixed-Integer Linear System
interference	Fast Design of Wireless Mesh Networks to Defend Against Worst-Case Jamming
interior point method	Warmstarting of Primal-Dual Interior Point Methods (IPMs) for Mixed Integer Second Order Cone Optimization (MISOCO)
Interior-point	SchurIpopt: A Parallel Optimization Package For Structured Nonlinear-programming Problems
Internal medicine residency programs	4+1 Templates for Annual Block Scheduling
Intersection cuts	Approximation guarantees for intersection cut closures S-Free Set and Cuts for Polynomial Optimization
Interval-based uncertainty	Risk Assessment using Utility Theory for Robust Goal Programming
invasive pests	Multi-stage Stochastic Programming for the Control and Surveillance of an Agricultural Pest
inventory model with substitution	Stochastic Optimization with Decisions Truncated by Random Variables and Its Applications
Inventory models	Distributionally Robust Newsvendor Problem with Variation Distance
Inverse optimization	Objective Selection in Cancer Treatment Using Inverse Optimization An Inverse Optimization Approach to Estimating Lipid Management Guidelines’ Risk Value of a Life Year on Treatment
irregular CGLP bases	Experiments with some cuts from non-split disjunctions
J
jamming	Fast Design of Wireless Mesh Networks to Defend Against Worst-Case Jamming
joint discretization	Optimal Discretization for Decision Analysis
K
kernel embedding	Dual Kernel Embedding for Stochastic Optimization and Reinforcement Learning
Kidney Allocation	Robust Wait Time Estimation in Resource Allocation Systems with an Application to Kidney Allocation
knapsack	Deterministic Approximation Algorithm For Population-Scale Personal Dietary Management
knowledge gradient	Multi Information Source Optimization and Warm Starts
L
L-natural convexity	Stochastic Optimization with Decisions Truncated by Random Variables and Its Applications
large scale optimization	Real-time radiation treatment planning with optimality guarantees through ``cluster and bound'' methods
large-scale	A new framework for Tomotherapy treatment planning and delivery
LASSO	Online Decision-Making with High-Dimensional Covariates
Latin hypercube sampling	Variance Reduction for Sequential Sampling in Stochastic Programming
lattice free sets	How to choose what you lift
Lattice-free sets	Approximation guarantees for intersection cut closures
learning	Learning and Control in Physical Flow Networks
Least Cost Influence Problem	Least Cost Influence Maximization on Trees and Cycles
Least squares temporal differences	Approximate Dynamic Programming for the Dispatch of Military Medical Evacuation Assets
lift-and-project	Experiments with some cuts from non-split disjunctions
lifting	The (not so) Trivial Lifting in Two Dimensions How to choose what you lift
Limited communication	Voltage regulation using limited communication
Load growth and component outage uncertainty	Long-term Microgrid Design in the Context of Changing Policy Objectives in Power System Planning
Local control	Communication-Cognizant Hybrid Voltage Control
Lot sizing	Optimizing the Timing and Number of Batches for Compounded Sterile Product Production in an In-Hospital Pharmacy
lunch breaks	A swapping heuristic for daily nurse scheduling in operating suites
M
Machine Learning	Optimizing Operational Decisions in Adversarial Classification Development and Applications of "Dose Cloud," a Tool for Large Scale Radiation Therapy Optimization Research High accuracy body part learning from 3D depth images
Machine Prediction	Pattern Recognition Inference Engine for IED Detection
Margingales	PLADD: Deterring Attacks on Cyber Systems and Moving Target Defense
Markov decision process	An Inverse Optimization Approach to Estimating Lipid Management Guidelines’ Risk Value of a Life Year on Treatment
Markov Decision Processes	Approximate Dynamic Programming for the Dispatch of Military Medical Evacuation Assets Physiology-Based Anticipative ICU Management Robust Dynamic Programming Under Contextual Uncertainty About Model Parameters
Markov Decision Processes (MDP)	Cyber Defense Based on Network Structure
Markov decision tree	Challenges In Markov Modeling Of Cancer Treatment
Markov models	Data Uncertainty in Markov Chains: Application to Cost-effectiveness Analyses of Medical Innovations Transparent Markov Modeling for Medical Decision Making
markov process	A step-wise increase information approach for scheduling appointments (WITHDRAWN)
mathematical programming	A Moment Matching Approach for Generating Synthetic Data
mathematical programming solvers	Efficient Validation of Basic Solutions via the Roundoff-Error-Free Factorization Framework (WITHDRAWN)
Matrix Factorizations	Efficient Validation of Basic Solutions via the Roundoff-Error-Free Factorization Framework (WITHDRAWN)
matrix selection problem	A Matrix Selection Problem
maximum clique	Clustering via independent union of cliques
maximum concurrent flow	Hierarchical Cluster Analysis Via Network Flow Duality
maximum likelihood	A step-wise increase information approach for scheduling appointments (WITHDRAWN)
maximum weighted co-2-plex problem	Polynomial Time Instance of the Maximum Weighted Co-2-Plex Problem
Medical cost-effectiveness	Transparent Markov Modeling for Medical Decision Making
Medical decision making	Challenges In Markov Modeling Of Cancer Treatment Transparent Markov Modeling for Medical Decision Making
medical diagnostics	High accuracy body part learning from 3D depth images
Medicare	Unsupervised Bayesian Hierarchical Methods For Medical Fraud Assessment
Microgrid	Stochastic Mixed Integer Programming for Design of a Microgrid under Heuristic Operation
Microgrid expansion planning	Long-term Microgrid Design in the Context of Changing Policy Objectives in Power System Planning
Military medical evacuation (MEDEVAC)	Approximate Dynamic Programming for the Dispatch of Military Medical Evacuation Assets
missing nodes	Learning and Control in Physical Flow Networks
Mixed integer programming	Optimization via Topological Order in Presence of Acyclic constraints Optimal Clustering on a Graph
mixed-integer	A scalable bounding method for stochastic programming
mixed-integer program	Optimal Decision Making in the Processing of Human Breast Milk Stochastic Network Interdiction With Incomplete Preference
Mixed-integer programming	Solving Large-scale Stochastic Programs Using Generalized Value Function Scenario Set Partition Dual Bounds for Multistage Stochastic Programming: A Hierarchy of Bounds and a Partition Sampling Approach Optimal Route Planning for Airborne Sensors (WITHDRAWN)
mixed-integer programming applications	On the Benefits of Enumeration for Transition Models
Mixed-integer programming model	4+1 Templates for Annual Block Scheduling
Model	A Nonlinear Programming Framework for Estimating Spatial Coupling in Disease Transmission
Model reformulation	An exact optimization framework based on an improved problem reformulation for designing optimal districts in the recycling of electronic goods
modeling language	Leveraging Model Composition in Pyomo
moment matching	A Moment Matching Approach for Generating Synthetic Data
Monte Carlo simulation	Variance Reduction for Sequential Sampling in Stochastic Programming
Motion Planning	A Constant Factor Bounding Algorithm for the Dubins Traveling Salesman Problem
Moving target defense	PLADD: Deterring Attacks on Cyber Systems and Moving Target Defense
multi information source optimization	Multi Information Source Optimization and Warm Starts
multi-armed bandits	Prioritizing Hepatitis C Treatment in U.S. Prisons
multi-armed bandits with covariates	Online Decision-Making with High-Dimensional Covariates
multi-echelon assembly	Optimizing the Recovery of Disrupted Multi-Echelon Assembly Supply Chain Networks
multi-objective decisions	Multi-Objective Optimization for a Counter-Trafficking System-of-Systems Architecture
multi-objective programming	A swapping heuristic for daily nurse scheduling in operating suites
multi-station	Coordinated Patient Appointment Scheduling for a Multi-station Healthcare Network
multiobjective decision making	Procurement Auctions with Uncertain Buyer Preferences
multiobjective integer programming	Decomposition of loosely coupled integer programs: a multiobjective perspective (WITHDRAWN)
Multiobjective linear optimization	Objective Selection in Cancer Treatment Using Inverse Optimization
Multiple services	Coordinated Appointment Scheduling for a Integrated Practice Unit
multistage	A scalable bounding method for stochastic programming Dual approximate dynamic programming for multi-stage stochastic unit commitment
multivariate statistics	The $k$-Variable Adjudication Method ($k$-VAM) for Reducing Regression-Model Dimensionality and Its Application to State-Level Economic-Growth-Factor Identification
N
Natural Gas Networks	Monotonicity in Dissipative Networks and Applications to Robust Optimization
nested sampling	Nested Augmented Simulation For Stochastic Optimization
Network Design	A Parallel Algorithm with Enhancements via Partial Objective Value Cuts for Cluster-based Wireless Sensor Network Design Integer programming for the optimal design of virtual backbones
network interdiction	Solving The Undirected Network-Diversion Problem in Polynomial Time Stochastic Network Interdiction With Incomplete Preference Cyber Defense Based on Network Structure
Network optimization	OAR Lib: An Open Source Arc Routing Library Models and Algorithms for Maximum Proportional Flow Problems with Semicontinuous Restrictions
network revenue management	Stochastic Optimization with Decisions Truncated by Random Variables and Its Applications
network robustness	Influences of Topological Properties on The Robustness of Power Law Networks Under Spatially Correlated Failures
Network Science	Bridging sociotechnical networks for critical infrastructure resilience: South Korean Case Study
Newsvendor problem	Distributionally Robust Newsvendor Problem with Variation Distance
Non-lethal	Pattern Recognition Inference Engine for IED Detection
nonconvex	S-Free Set and Cuts for Polynomial Optimization
Nonconvex optimization	Construction of inner feasible approximations for AC power flow
Nonlinear Integer Programming	Using Density to Identify Fixations in Gaze Data: Optimization-Based Formulations and Algorithms
Nonlinear programming	SchurIpopt: A Parallel Optimization Package For Structured Nonlinear-programming Problems Extensions to the Dynamic Optimization Modeling Tool pyomo.dae for Simulation and Model Initialization
Norms	Polynomial Norms and Semidefinite Optimization
NP-complete	Solving The Undirected Network-Diversion Problem in Polynomial Time
nurse scheduling	A swapping heuristic for daily nurse scheduling in operating suites
O
object-oriented design	Leveraging Model Composition in Pyomo
Observational Studies	Using Optimization to Define Unbiased Treatment Effect Estimators in Observational Studies
oligopolistic	Quality in Competitive Fresh Produce Supply Chains with Application to Farmers' Markets
Online algorithms	Operating-Room Staffing and Online Scheduling
online learning	Online Decision-Making with High-Dimensional Covariates
open pit-to-underground mining	On the Benefits of Enumeration for Transition Models
open source	OAR Lib: An Open Source Arc Routing Library
Operating rooms staffing	Operating-Room Staffing and Online Scheduling
Operator splitting	An Asynchronous Parallel Stochastic Programming Algorithm Resembling Progressive Hedging
optimal power flow	Minor Relaxation and SOCP Based Spatial Branch-and-Cut Method for the Optimal Power Flow Problem Parallelized Interior Point Method for Security Constrained Optimal Power Flow (SCOPF) Computing Multiple Local Optima for OPF Problems using an Elliptical Tracing Algorithm
optimal power flows	Relaxations for Optimal Power Flows: Recent Progress and Computational Results
Optimization	A Nonlinear Programming Framework for Estimating Spatial Coupling in Disease Transmission Operating Batteries in the Power Grid via Optimization An integer programming approach to optimal cancer treatment design Algorithms for Identifying Optimal Inspection Paths in Pipe Networks Algorithmic Weight Loss Program Design with Behavioral Analytics A Moment Matching Approach for Generating Synthetic Data Fast Design of Wireless Mesh Networks to Defend Against Worst-Case Jamming Quantifying Uncertainty of Healthcare Access Measures Derived by Optimization Optimal Discretization for Decision Analysis Threshold-driven Optimization for Reference-based Auto-planning The $k$-Variable Adjudication Method ($k$-VAM) for Reducing Regression-Model Dimensionality and Its Application to State-Level Economic-Growth-Factor Identification Stochastic Mixed Integer Programming for Design of a Microgrid under Heuristic Operation
Optimization in healthcare	Optimal Decision Making in the Processing of Human Breast Milk
Optimization methodology	Auction Algorithms for Distributed Integer Programming Problems with a Coupling Knapsack Constraint
Ordinary differential equation	An integer programming approach to optimal cancer treatment design
organ donation	Jumping the Line, Charitably: Analysis and Remedy of the Donor-Priority Rule
Orthopedic Surgery	Decision Analysis Applications in Orthopaedics
P
Parallel Algorithms	A Parallel Algorithm with Enhancements via Partial Objective Value Cuts for Cluster-based Wireless Sensor Network Design
Parallel computing	An Asynchronous Parallel Stochastic Programming Algorithm Resembling Progressive Hedging A scalable bounding method for stochastic programming Extended parallelization of stochastic programming algorithms
partial coverage	Maximum Demand Rectangular Location Problem
Partial primal-dual	Communication-Cognizant Hybrid Voltage Control
Path Planning	A Constant Factor Bounding Algorithm for the Dubins Traveling Salesman Problem
patient-centered	Coordinated Patient Appointment Scheduling for a Multi-station Healthcare Network
Pattern Recognition	Pattern Recognition Inference Engine for IED Detection
PDE constraints	Monotonicity in Dissipative Networks and Applications to Robust Optimization
personalized medicine	Online Decision-Making with High-Dimensional Covariates
pessimistic	Computing Bilevel Optimization Subject to Uncertainty
Pharmacy operations	Optimizing the Timing and Number of Batches for Compounded Sterile Product Production in an In-Hospital Pharmacy
phylogenetic tree	An extended formulation of the convex recoloring problem on a phylogenetic tree
Physical Activity	Physical Activity Pattern Clustering of Physically Inactive Women From The mPED Trial
planar maximum covering location problem	Maximum Demand Rectangular Location Problem
planar p-center problem	Maximum Demand Rectangular Location Problem
policy improvement heuristic	Dynamic Scheduling of Home Health Care Patients
polynomial optimization	A cutting-plane approach to approximating polynomial optimization problems with small tree-width S-Free Set and Cuts for Polynomial Optimization Polynomial Norms and Semidefinite Optimization
POMDP	The role of supplemental screening and breast density information in breast cancer detection
Pooled testing	Adaptive Risk-based Array Pooling in Public Health Screening Optimal Pooling Strategies for Nucleic Acid Testing of Donated Blood Considering Viral Load Growth Curves and Donor Characteristics
Positive Systems	Monotonicity in Dissipative Networks and Applications to Robust Optimization
power grid	Operating Batteries in the Power Grid via Optimization Data Centers as Dispatchable Loads to Harness Stranded Power
power law	Influences of Topological Properties on The Robustness of Power Law Networks Under Spatially Correlated Failures
Power Procurement	Two-Stage Stochastic Programs for Integration of Server Provisioning and Power Procurement for Energy-Efficient Data Centers
power systems	Construction of inner feasible approximations for AC power flow Assessing power system resilience to adverse weather events A computational approach for multi-period stochastic programs with stationary processes (WITHDRAWN) Minor Relaxation and SOCP Based Spatial Branch-and-Cut Method for the Optimal Power Flow Problem Improving Power Systems Resilience with Stochastic Optimization Scenario-Based Decomposition for Parallel Solution of the Contingency-Constrained ACOPF
power systems operation	Robust AC optimal power flow
predictive modeling	Predictive Models For Making Patient Screening Decisions
preferences	Procurement Auctions with Uncertain Buyer Preferences
principal components analysis	The $k$-Variable Adjudication Method ($k$-VAM) for Reducing Regression-Model Dimensionality and Its Application to State-Level Economic-Growth-Factor Identification
Prior knowledge	The impact of prior information on the quantification of resilience-based importance measures using Bayesian kernel methods
procurement auctions	Procurement Auctions with Uncertain Buyer Preferences
product differentiation	Quality in Competitive Fresh Produce Supply Chains with Application to Farmers' Markets
Progressive hedging	Parallel Branch-and-bound Based On Ph For Stochastic Mips An Asynchronous Parallel Stochastic Programming Algorithm Resembling Progressive Hedging Extended parallelization of stochastic programming algorithms Dynamic Electric Transmission Expansion considering time development uncertainty
protein-protein interaction networks	Identification of Essential Proteins Using Induced Stars in Protein-Protein Interaction Networks
Public Health	Using Optimization to Define Unbiased Treatment Effect Estimators in Observational Studies
Pyomo	Leveraging Model Composition in Pyomo
Python	Extensions to the Dynamic Optimization Modeling Tool pyomo.dae for Simulation and Model Initialization
Q
quality food	Quality in Competitive Fresh Produce Supply Chains with Application to Farmers' Markets
quality of care	A Data Driven Approach for Assessing and Improving Patient Experience of Care
Queueing	Robust Wait Time Estimation in Resource Allocation Systems with an Application to Kidney Allocation
queueing-priority rules	Jumping the Line, Charitably: Analysis and Remedy of the Donor-Priority Rule
R
R&D portfolio management	A Comparison Between the Robust Risk-Aware and Risk-Seeking Managers in R&D Portfolio Management (WITHDRAWN)
Radiation therapy	A two-stage method for IMPT treatment beam angle optimization incorporating internal organ motion Real-time radiation treatment planning with optimality guarantees through ``cluster and bound'' methods Threshold-driven Optimization for Reference-based Auto-planning
Radiation Therapy Analytics	Robust Maximum Likelihood Estimation with Application to Radiation Therapy
Radiation Therapy Treatment Planning	Development and Applications of "Dose Cloud," a Tool for Large Scale Radiation Therapy Optimization Research A novel column-generation matheuristic to Volumetric Modulated Arc Therapy (VMAT) treatment planning Objective Selection in Cancer Treatment Using Inverse Optimization
radiotherapy	A new framework for Tomotherapy treatment planning and delivery
Radiotherapy Treatment Design	Identifying Unacceptable Radiotherapy Treatments with Robust Optimization
random capacity	Stochastic Optimization with Decisions Truncated by Random Variables and Its Applications
Random link failures	Communication-Cognizant Hybrid Voltage Control
rectangle positioning	Maximum Demand Rectangular Location Problem
rectilinear distance	Maximum Demand Rectangular Location Problem
Regression	Optimization via Topological Order in Presence of Acyclic constraints The $k$-Variable Adjudication Method ($k$-VAM) for Reducing Regression-Model Dimensionality and Its Application to State-Level Economic-Growth-Factor Identification
regularization	The $k$-Variable Adjudication Method ($k$-VAM) for Reducing Regression-Model Dimensionality and Its Application to State-Level Economic-Growth-Factor Identification
Regularization method	Adaptive Scenario Partitions for Stochastic Programs
reinforcement learning	Dual Kernel Embedding for Stochastic Optimization and Reinforcement Learning
reliability	Influences of Topological Properties on The Robustness of Power Law Networks Under Spatially Correlated Failures
Renewable Energy	Two-Stage Stochastic Programs for Integration of Server Provisioning and Power Procurement for Energy-Efficient Data Centers
renewable power	Data Centers as Dispatchable Loads to Harness Stranded Power
Repeated hazards	Integrating statistical forecasting and agent-based models for enhanced understanding of post-hurricane electric-power system reliability
Replacement and Rehabilitation Planning	Algorithms for Identifying Optimal Inspection Paths in Pipe Networks
resilience	Enumeration Algorithms for Infrastructure Resilience Analysis Computational Aspects of Resilience-Driven Restoration of Interdependent Networks Assessing power system resilience to adverse weather events Improving Power Systems Resilience with Stochastic Optimization
resilience modeling	The impact of prior information on the quantification of resilience-based importance measures using Bayesian kernel methods
Resilient networks	PLADD: Deterring Attacks on Cyber Systems and Moving Target Defense
Resilient power grid	Optimal Resilient Grid Design: Distribution and Transmission systems
resource allocation	Game-Theoretic Models for Allocating Honeypots in Cybersecurity Multi-stage Stochastic Programming for the Control and Surveillance of an Agricultural Pest
resource-directive decomposition	Decomposition of loosely coupled integer programs: a multiobjective perspective (WITHDRAWN)
resources	Integrated Epidemiological and Healthcare System Modeling
restless bandit	Optimal Screening for Hepatocellular Carcinoma under Limited Resources
restoration	Computational Aspects of Resilience-Driven Restoration of Interdependent Networks
right-hand uncertainty	Bi-level Stochastic Approximation
Risk Analysis	Decision Analysis Applications in Orthopaedics
risk averse policies	Optimal Policies for Risk-Averse Electric Vehicle Charging with Spot Purchases
Risk measures	A modified SDDP method for a risk-averse high-dimensional multistage stochastic energy storage optimization problem
Risk minimization	Optimal Pooling Strategies for Nucleic Acid Testing of Donated Blood Considering Viral Load Growth Curves and Donor Characteristics
Risk seeking	A Comparison Between the Robust Risk-Aware and Risk-Seeking Managers in R&D Portfolio Management (WITHDRAWN)
Risk tolerance	A Comparison Between the Robust Risk-Aware and Risk-Seeking Managers in R&D Portfolio Management (WITHDRAWN)
Risk-adjusted sampling scheme	A modified SDDP method for a risk-averse high-dimensional multistage stochastic energy storage optimization problem
risk-averse	Data-Driven Risk-Averse Two-Stage Stochastic Program with Zeta-Structure Probability Metrics
Risk-averse optimization	Distributionally Robust Newsvendor Problem with Variation Distance
Risk-based testing	Adaptive Risk-based Array Pooling in Public Health Screening
Robust dynamic programming	Robust Dynamic Programming Under Contextual Uncertainty About Model Parameters
Robust goal programming	Risk Assessment using Utility Theory for Robust Goal Programming
Robust Optimization	Robust Maximum Likelihood Estimation with Application to Radiation Therapy Construction of inner feasible approximations for AC power flow Robust Wait Time Estimation in Resource Allocation Systems with an Application to Kidney Allocation A Comparison Between the Robust Risk-Aware and Risk-Seeking Managers in R&D Portfolio Management (WITHDRAWN) Operating-Room Staffing and Online Scheduling Robust AC optimal power flow Identifying Unacceptable Radiotherapy Treatments with Robust Optimization Multi-Objective Optimization for a Counter-Trafficking System-of-Systems Architecture Monotonicity in Dissipative Networks and Applications to Robust Optimization Computing Bilevel Optimization Subject to Uncertainty
roundoff errors	Efficient Validation of Basic Solutions via the Roundoff-Error-Free Factorization Framework (WITHDRAWN)
Routing and scheduling	The speed optimization problem over a fixed route
Row Generation Algorithms	Changing Graph Structure for Performing Fast, Approximate Inference in Graphical Models
Rural electrification	Long-term Microgrid Design in the Context of Changing Policy Objectives in Power System Planning
S
s-t cuts	Solving The Undirected Network-Diversion Problem in Polynomial Time
s-t Reliability	Cyber Defense Based on Network Structure
sample-average optimization	Bi-level Stochastic Approximation
Scenario partition	Adaptive Scenario Partitions for Stochastic Programs
scenario-based stochastic optimization	Multi-stage Stochastic Programming for the Control and Surveillance of an Agricultural Pest
scheduling	Online Personalized Resource Allocation with Customer Choice A step-wise increase information approach for scheduling appointments (WITHDRAWN) Coordinated Patient Appointment Scheduling for a Multi-station Healthcare Network
Schur complement	SchurIpopt: A Parallel Optimization Package For Structured Nonlinear-programming Problems
Screening Trajectories	Characterization of Colorectal Cancer Screening Choice and Behavior Trajectories
Security	Games of Timing for Security
Security Constrained	Parallelized Interior Point Method for Security Constrained Optimal Power Flow (SCOPF)
Security games	Optimizing Operational Decisions in Adversarial Classification
Semicontinuous variables	Models and Algorithms for Maximum Proportional Flow Problems with Semicontinuous Restrictions
Semidefinite Optimization	Polynomial Norms and Semidefinite Optimization
Sensitivity Analysis	Data Uncertainty in Markov Chains: Application to Cost-effectiveness Analyses of Medical Innovations
Sentiment Analysis	Capturing the Sponsorship Outcome Using Social Media: Effect of Contextual Factors on Sponsorship Outcome
Sepsis	Modeling Intervention Strategies for Complex Patients with Sepsis
Sequential sampling	Variance Reduction for Sequential Sampling in Stochastic Programming
Server Provisioning	Two-Stage Stochastic Programs for Integration of Server Provisioning and Power Procurement for Energy-Efficient Data Centers
Setup uncertainty	CCP Optimization with Time-Dependent Uncertainty in Radiation Therapy Planning
shrinkage	The $k$-Variable Adjudication Method ($k$-VAM) for Reducing Regression-Model Dimensionality and Its Application to State-Level Economic-Growth-Factor Identification
Simplex	Snug circumscribing simplexes for convex hulls
Simulated Annealing	Algorithms for Identifying Optimal Inspection Paths in Pipe Networks
Simulation	Agent-Based Mediation Modeling of a Controlled Trial to Reduce the Transmission of Multidrug-Resistant Organisms Modeling Intervention Strategies for Complex Patients with Sepsis
simulation optimization	Multi Information Source Optimization and Warm Starts
Simulation-based Optimization	Exact and Heuristic Approaches to the Vehicle Ferry Revenue Management Problem
Slim Branch and Price	The Slim Branch and Price method with an application to the Hamiltonian p-median Problem
Social media	Capturing the Sponsorship Outcome Using Social Media: Effect of Contextual Factors on Sponsorship Outcome
social network analysis	Hierarchical Cluster Analysis Via Network Flow Duality Least Cost Influence Maximization on Trees and Cycles Clustering via independent union of cliques Polynomial Time Instance of the Maximum Weighted Co-2-Plex Problem
Soft constraints	4+1 Templates for Annual Block Scheduling
software library	OAR Lib: An Open Source Arc Routing Library
South Korea	Bridging sociotechnical networks for critical infrastructure resilience: South Korean Case Study
spanning trees	Solving The Undirected Network-Diversion Problem in Polynomial Time
sparse cuts	Hierarchical Cluster Analysis Via Network Flow Duality
Speed optimization	The speed optimization problem over a fixed route
Sponsorship	Capturing the Sponsorship Outcome Using Social Media: Effect of Contextual Factors on Sponsorship Outcome
Sport events	Capturing the Sponsorship Outcome Using Social Media: Effect of Contextual Factors on Sponsorship Outcome
Statins	An Inverse Optimization Approach to Estimating Lipid Management Guidelines’ Risk Value of a Life Year on Treatment
statistical decision-making	Online Decision-Making with High-Dimensional Covariates
Statistical Inference	Algorithmic Weight Loss Program Design with Behavioral Analytics
statistical learning	The $k$-Variable Adjudication Method ($k$-VAM) for Reducing Regression-Model Dimensionality and Its Application to State-Level Economic-Growth-Factor Identification
stochastic approximation	Bi-level Stochastic Approximation Dual Kernel Embedding for Stochastic Optimization and Reinforcement Learning
stochastic decomposition	A computational approach for multi-period stochastic programs with stationary processes (WITHDRAWN)
Stochastic decomposition method	Optimal Inpatient Discharge Planning Under Uncertainty
Stochastic dual dynamic programming	A modified SDDP method for a risk-averse high-dimensional multistage stochastic energy storage optimization problem
stochastic integer programming	Fine-grained distributed-memory branch-and-bound tree search
Stochastic Non-linear Programming	Improving Power Systems Resilience to Geomagnetic Disturbances (GMDs)
stochastic optimization	Variance Reduction for Sequential Sampling in Stochastic Programming Assessing power system resilience to adverse weather events Nested Augmented Simulation For Stochastic Optimization Data Centers as Dispatchable Loads to Harness Stranded Power Optimal Inpatient Discharge Planning Under Uncertainty Solving Large-scale Stochastic Programs Using Generalized Value Function Dual Kernel Embedding for Stochastic Optimization and Reinforcement Learning
Stochastic processes	PLADD: Deterring Attacks on Cyber Systems and Moving Target Defense
stochastic program	Data-Driven Risk-Averse Two-Stage Stochastic Program with Zeta-Structure Probability Metrics Adaptive Scenario Partitions for Stochastic Programs
Stochastic programming	SchurIpopt: A Parallel Optimization Package For Structured Nonlinear-programming Problems A computational approach for multi-period stochastic programs with stationary processes (WITHDRAWN) Parallel Branch-and-bound Based On Ph For Stochastic Mips An Asynchronous Parallel Stochastic Programming Algorithm Resembling Progressive Hedging A scalable bounding method for stochastic programming Applying a New Scenario Decomposition Algorithm to Solve Stochastic Unit Commitment Problems Improving Power Systems Resilience with Stochastic Optimization Scenario-Based Decomposition for Parallel Solution of the Contingency-Constrained ACOPF Dual approximate dynamic programming for multi-stage stochastic unit commitment Extended parallelization of stochastic programming algorithms Scenario Set Partition Dual Bounds for Multistage Stochastic Programming: A Hierarchy of Bounds and a Partition Sampling Approach Stochastic Mixed Integer Programming for Design of a Microgrid under Heuristic Operation
stochastic programs with recourse	Nested Augmented Simulation For Stochastic Optimization
supermodular/submodular	Stochastic Optimization with Decisions Truncated by Random Variables and Its Applications
Supervised Learning	Pattern Recognition Inference Engine for IED Detection
supply chain networks	Optimizing the Recovery of Disrupted Multi-Echelon Assembly Supply Chain Networks
supply chains	Quality in Competitive Fresh Produce Supply Chains with Application to Farmers' Markets
surveillance	Multi-stage Stochastic Programming for the Control and Surveillance of an Agricultural Pest
synthetic data	A Moment Matching Approach for Generating Synthetic Data
system factors	A Data Driven Approach for Assessing and Improving Patient Experience of Care
systems engineering	Multi-Objective Optimization for a Counter-Trafficking System-of-Systems Architecture
systems-of-systems	Multi-Objective Optimization for a Counter-Trafficking System-of-Systems Architecture
T
Targeted Attack	Games of Timing for Security
Targeted therapy	An integer programming approach to optimal cancer treatment design
Text Mining	Capturing the Sponsorship Outcome Using Social Media: Effect of Contextual Factors on Sponsorship Outcome
Time-dependent holding costs	Optimizing the Timing and Number of Batches for Compounded Sterile Product Production in an In-Hospital Pharmacy
Time-dependent setup costs	Optimizing the Timing and Number of Batches for Compounded Sterile Product Production in an In-Hospital Pharmacy
tomotherapy	A new framework for Tomotherapy treatment planning and delivery
transformation	Stochastic Optimization with Decisions Truncated by Random Variables and Its Applications
Transmission expansion	Dynamic Electric Transmission Expansion considering time development uncertainty
transmission projects delays	Dynamic Electric Transmission Expansion considering time development uncertainty
Transparency in modeling	Transparent Markov Modeling for Medical Decision Making
Traveling Salesman Problem	A Constant Factor Bounding Algorithm for the Dubins Traveling Salesman Problem
treatment	Integrated Epidemiological and Healthcare System Modeling
Treatment Planning	Threshold-driven Optimization for Reference-based Auto-planning
treatment prioritization	Prioritizing Hepatitis C Treatment in U.S. Prisons
tree-width	A cutting-plane approach to approximating polynomial optimization problems with small tree-width
trees and cycles	Least Cost Influence Maximization on Trees and Cycles
truncation	Stochastic Optimization with Decisions Truncated by Random Variables and Its Applications
Two-level Markov models	A modified SDDP method for a risk-averse high-dimensional multistage stochastic energy storage optimization problem
Two-stage programs	Optimal Resilient Grid Design: Distribution and Transmission systems
Two-Stage Stochastic Program	Two-Stage Stochastic Programs for Integration of Server Provisioning and Power Procurement for Energy-Efficient Data Centers
two-stage stochastic programming	Two-Stage Distributionally Robust Linear Programming over Wasserstein Balls
Type 2 diabetes	An Inverse Optimization Approach to Estimating Lipid Management Guidelines’ Risk Value of a Life Year on Treatment
U
UAV routing	Optimal Route Planning for Airborne Sensors (WITHDRAWN)
Uncertain Data	Robust Maximum Likelihood Estimation with Application to Radiation Therapy
Uncertain Parameters	Data Uncertainty in Markov Chains: Application to Cost-effectiveness Analyses of Medical Innovations
uncertainty quantification	Quantifying Uncertainty of Healthcare Access Measures Derived by Optimization
underground mine design	A constructive heuristic and bounds for optimal open-stope underground mine design
Unit Commitment	Global Solution Strategy for AC Network-Constrained Unit Commitment (NCUC) Problems Applying a New Scenario Decomposition Algorithm to Solve Stochastic Unit Commitment Problems
Unmanned Aerial Vehicles	A Constant Factor Bounding Algorithm for the Dubins Traveling Salesman Problem
unsupervised data mining	Unsupervised Bayesian Hierarchical Methods For Medical Fraud Assessment
Upside risk	A Comparison Between the Robust Risk-Aware and Risk-Seeking Managers in R&D Portfolio Management (WITHDRAWN)
Utility theory	Risk Assessment using Utility Theory for Robust Goal Programming
V
valid inequalities	A Polyhedral Approach For Two-Sided Chance-Constrained Programs
value functions	Solving Large-scale Stochastic Programs Using Generalized Value Function
value of data	Data-Driven Risk-Averse Two-Stage Stochastic Program with Zeta-Structure Probability Metrics
value of information analysis	Multi Information Source Optimization and Warm Starts
Variance reduction	Variance Reduction for Sequential Sampling in Stochastic Programming
vehicle routing	OAR Lib: An Open Source Arc Routing Library
Vehicle routing problem	Vehicle Routing Problems with Time Windows and Convex Node Costs
virtual backbone	Integer programming for the optimal design of virtual backbones
Voltage regulation	Communication-Cognizant Hybrid Voltage Control Voltage regulation using limited communication
Volumetric-Modulated Arc Therapy	A novel column-generation matheuristic to Volumetric Modulated Arc Therapy (VMAT) treatment planning
W
warm starting Bayesian optimization	Multi Information Source Optimization and Warm Starts
warmstarting	Warmstarting of Primal-Dual Interior Point Methods (IPMs) for Mixed Integer Second Order Cone Optimization (MISOCO)
weapon target assignment	An Approximate Dynamic Programming Approach to the Shoot-Look-Shoot Weapon-Target Assignment Problem
wellness	Deterministic Approximation Algorithm For Population-Scale Personal Dietary Management
Wireless mesh networks	Fast Design of Wireless Mesh Networks to Defend Against Worst-Case Jamming
wireless networks	Integer programming for the optimal design of virtual backbones
Wireless Sensor Networks	A Parallel Algorithm with Enhancements via Partial Objective Value Cuts for Cluster-based Wireless Sensor Network Design
workforce	Integrated Epidemiological and Healthcare System Modeling

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