ICS 2015: INFORMS COMPUTING SOCIETY CONFERENCE 2015

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

A
active learning	Building Design Multi-Objective Optimization with Active Learning
Activity assignment	Scheduling agents using forecast call arrivals at Hydro-Québec's call centers
adaptive sampling	Adaptive Sampling Trust-Region Optimization (ASTRO) Adaptive Sampling Controlled Stochastic Recursions
Affine controls	Aerial Coffee Delivery: Preference Appraisal Reinforcement Leaning in Presence of Stochastic Input Disturbances for Control-affine Systems
agent-based modeling	Dynamic Resource Exchange with CoinOR-CBC in Cyclus, a Nuclear Fuel Cycle Simulator An Agent-Based Model to Evaluate the Effectiveness of Antibiotic Stewardship Programs Agent-Based Mediation Modeling of a Controlled Trial to Reduce the Transmission of Multidrug-Resistant Organisms
Agent-based Simulation	A Hybrid Agent-Based and DE/Probabilistic Model for Simulating Antibiotic Resistance in a Hospital Ward
Aircraft Spare Parts	Using Monte Carlo Simulations for Improved Selection of Heuristics for Aircraft Spare Parts Demand Forecasting
Airport control	Solving a distribution problem with stochastic programming, and an application to ground delay program planning.
algebraic modeling	Leveraging Model Transformations in Algebraic Modeling Systems
algebraic modeling language	Pyomo 4.0 Modeling Bilevel Programs in Pyomo Automatic Reformulation of Second-Order Cone Programming Problems
Algorithm	Assembly Flowshop Scheduling Problem with Total Tardiness Performance Measure
algorithm development	A Cutting Plane Method for Robust Mixed Integer Programming
Algorithms	New Exact Formulations to Solve Generalizations and Extensions of the OPSM Problem
alternate optimal flux states	Cartesian Product Matrix Decomposition for Metabolic Reconstruction
alternating direction method of multipliers	An Alternating Direction Method with Increasing Penalty for Stable Principal Component Pursuit
Alzheimer's Disease Neuroimaging Initiative (ADNI)	Inference from Structured and Unstructured Electronic Medical Data for Early Dementia Detection
ambulance relocation	Optimization Model for Ambulance Redeployment with Fair Workload Consideration of EMS Providers
AMPL	Automatic Reformulation of Second-Order Cone Programming Problems
Analytics	Consumer Decision Simulator - Using Analytics To Cut On Marketing Research Expenses
Anomaly detection	A Novel Lightly Trained Support Vector Data Description for Novelty Detection
Antibiotic Resistance	A Hybrid Agent-Based and DE/Probabilistic Model for Simulating Antibiotic Resistance in a Hospital Ward
APIs	Alternatives for Programming in Conjunction with an Algebraic Modeling Language for Optimization
Appointment scheduling	Appointment Scheduling with Multiple Providers and Stochastic Service Times
approximate dynamic program	Semi-Infinite Relaxations for the Dynamic Knapsack Problem with Stochastic Item Sizes
Approximate dynamic programming	Pricing a Portfolio of American Options An Approximate Dynamic Programming Algorithm for United States Air Force Officer Sustainment An Approximate Dynamic Programming Algorithm for Monotone Value Functions
approximate dynamice programming	An Approximate Dynamic Programming Algorithm for the Military Inventory Routing Problem with Direct Delivery
approximation algorithms	Scheduling with stochastic processing times in a medical clinic Optimal Learning for Scientific Discovery
Arc	A Two-Stage Partitioning Scheme for the Min-Max K Windy Rural Postman Problem
area coverage	Maximum-Demand Rectangular Location Problem
artificial intelligence	Designed Experiment Approach for the Tuning of Optimization Software Parameters: Insights into Influential Parameters
Assembly flowshop	Assembly Flowshop Scheduling Problem with Total Tardiness Performance Measure
Attribute selection	Generation and Selection of Relational Attributes
Augmented Lagrangian	A regularized SQP method for degenerate equality-constrained optimization
augmented Lagrangians	An Alternating Direction Method with Increasing Penalty for Stable Principal Component Pursuit An Augmented Lagrangian Method for Conic Convex Programming Approximate Versions of the Alternating Direction Method of Multipliers
Automatic Discretization	Automatic Discretization of ODE and PDE Systems Using Pyomo
B
balance optimization	Testing Assumptions for Causal Inference with Observational Data Using the BOSS Model
Battery storage system	Power consumption optimization with battery energy storage system (BESS) in electricity network
Bayesian Inference	Finding Influential Nodes for Initiating Successful Campaigns in Social Networks
Bayesian linear regression	Optimal learning in regression with combinatorial feature selection
Bayesian statistics	Information Filtering for arXiv.org: Bandits, Exploration vs. Exploitation, and the Cold Start Problem Optimal Learning for Scientific Discovery
Benchmark Policy	A Stochastic Approach to the Management of Plug-In Hybrid Electric Vehicle Swap Stations
Benders algorithm	A computational study of a Benders algorithm for solving two-stage stochastic mixed-integer linear programs
Benders Decomposition	Strengthened Benders Cuts for Stochastic Integer Programs with Continuous Recourse A Two-Stage Stochastic Program for Closed-loop Supply Chain Network Design under Demand and Return Uncertainty A Benders Decomposition Algorithm for a Hub-Network Design Problem Computational Experience with a Generalized Benders Approach to Solving Two-stage Stochastic Programs with Mixed Integer Recourse Loss-Constrained Minimum Cost Flow under Arc Failure Uncertainty with Applications in Risk-Aware Kidney Exchange
benders' decomposition	Robust Power System Scheduling with Hydro Resources
Benford's Law	Computing in Probability
bilevel optimization	Computing Bilevel Mixed Integer Quadratic Programs
bilevel programming	Optimal Design of the Annual Influenza Vaccine with Manufacturing Autonomy Modeling Bilevel Programs in Pyomo Risk Averse Shortest Path Interdiction
Binary Decision Diagram	Network-Based Models for Optimization in Reliability
binary decision diagrams	Generating cuts for 0-1 IPs using binary decision diagrams
biobjective mixed integer	Efficient storage of Pareto solutions in biobjective mixed integer programming
blogs	Text Mining in Dynamic Blog Networks
BONUS algorithm	Better Optimization of Nonlinear Uncertain Systems (BONUS) Algorithm for Large Scale Real World Stochastic Nonlinear Programming Problems.
Branch and Bound	Recent Progress on the DIP Decomposition-based MILP Solver
Branch and Bound Algorithm	Integer Programming Approach for Tree Partitioning into Subtrees
Branch and bound methods	A branch and bound approach to the minimum k-enclosing ball problem
Branch and Cut	Weighted Target Set Selection
branch-and-price	A Branch-and-price Algorithm for the Capacitated Mobile Facility Location Problem
branch-cut-and-price	A branch-cut-and-price algorithm for the energy minimization vehicle routing problem
branching	Sharing pseudocosts among branch-and-bound trees
Branching Methods	Orbital Conflict Row-Partition Branching for Set Partitioning Problems
building design	Building Design Multi-Objective Optimization with Active Learning
C
calibration	Agent-Based Mediation Modeling of a Controlled Trial to Reduce the Transmission of Multidrug-Resistant Organisms
Call center	Scheduling agents using forecast call arrivals at Hydro-Québec's call centers
Capacitated	A Two-Stage Partitioning Scheme for the Min-Max K Windy Rural Postman Problem
capacitated facility location	A Branch-and-price Algorithm for the Capacitated Mobile Facility Location Problem
Capacity	Integer Programming Approach for Tree Partitioning into Subtrees
Cartesian product decomposition	Cartesian Product Matrix Decomposition for Metabolic Reconstruction
causal inference	Testing Assumptions for Causal Inference with Observational Data Using the BOSS Model
Chance constraint	Decomposition Algorithms for Two-Stage Chance-Constrained Stochastic Programs
Chance Constraints	Conditional Chance Constraints and Applications
children's advocacy center	Process Improvement via Simulation for a Children's Advocacy Center
Circle Method	An Analytical Study in Connectivity of Neighborhoods for Single Round Robin Tournaments How to schedule a tournament with a deck of playing cards
Closed-loop supply chain	A Two-Stage Stochastic Program for Closed-loop Supply Chain Network Design under Demand and Return Uncertainty
Closures	On Some Generalizations of Split Cuts
CO2 emissions	Green Vehicle Routing Problem with Time-varying Traffic Congestion
COIN-OR	A MINLP Model and Analysis for Natural Gas Transmission Network Design COLA and DietCOLA: An Open Source Framework for Solution of Mixed Integer Second Order Cone Optimization (MISOCO) Problems
coinor	Dynamic Resource Exchange with CoinOR-CBC in Cyclus, a Nuclear Fuel Cycle Simulator
Colombian manufacturing industries	ENERGY EFFICIENCY IN MANUFACTURING INDUSTRIES: AN ANALYSIS ACROSS COLOMBIAN DEPARTMENTS
column generation	A Branch-and-price Algorithm for the Capacitated Mobile Facility Location Problem A branch-cut-and-price algorithm for the energy minimization vehicle routing problem
combinatorial optimization	Optimal Learning for Scientific Discovery
Combined Cycle	Data-Driven Stochastic Self-Scheduling for the Combined-Cycle Units
competition	A Game Theory Model for a Differentiated Service-Oriented Internet with Duration-Based Contracts
Completely positive programing	Complementarity Formulation for l0 Norm Minimization Problems
Complexity	A Novel Lightly Trained Support Vector Data Description for Novelty Detection
compromise decisions	Solving two-stage stochastic linear programming with stochastic decomposition (SD)
computational complexity	Network Design with Compression: Complexity and Algorithms
computational performance	Optimizing Forward Surgical Team Operating Room Scheduling for Mass Casualty Events
Conditional value-at-risk	Cut Generation for Optimization Problems with Multivariate Risk Constraints
conditional value-at-risk (CVaR)	Distributionally Robust Appointment Scheduling with Random Service Durations and No-shows Loss-Constrained Minimum Cost Flow under Arc Failure Uncertainty with Applications in Risk-Aware Kidney Exchange
Confidence interval	An averaged confidence interval after model selection
Congestive Heart Failure (CHF) patients	Analyzing the Hospital-Related Flow of Congestive Heart Failure (CHF) Patients and Readmission Risk Factors Identification
conic constraints	An Augmented Lagrangian Method for Conic Convex Programming
Connectivity	Integer Programming Approach for Tree Partitioning into Subtrees
Constrained Clustering	Studying Constrained Clustering Problems using Homotopy Maps
constrained quadratic optimization	Convex optimization and feasible circulant matrix embeddings in synthesis of stationary Gaussian fields
constraint filtering strategies	RLT-POS: Reformulation-Linearization Technique-based Optimization Software for Solving Polynomial Programming Problems
Constraint Optimization Problems	Assessing Both Solution Diversity and Solution Quality in Constraint Programming
Constraints	Constraint-Based Error Localization
Consumer Behavior	Consumer Decision Simulator - Using Analytics To Cut On Marketing Research Expenses
continuous mixing	Tight second-stage MIP formulations for two-stage stochastic mixed integer programs
Convergence under multiple time scales	Stochastic Compositional Gradient Methods: Minimizing Nonlinear Functions of Expected-Values
Convex hull	Tight second-stage MIP formulations for two-stage stochastic mixed integer programs Cut Generation for Optimization Problems with Multivariate Risk Constraints
convex optimization	Risk averse Shortest path problems: a computational study An Augmented Lagrangian Method for Conic Convex Programming Approximate Versions of the Alternating Direction Method of Multipliers Convex optimization for machine learning in map reduce
Convex stochastic optimization	Stochastic Compositional Gradient Methods: Minimizing Nonlinear Functions of Expected-Values
cost-effectiveness	A Mathematical Model to Estimate the Health Benefits and Costs of Diabetic Retinopathy Screening Programs
coverage models	Maximal coverage problems for reducing cyber-security vulnerabilities
CP	Constraint-Based Lagrangian Relaxation
Cut Generating Pairs	On Maximal S-Free Sets with the Covering Property
Cut generation algorithm	Cut Generation for Optimization Problems with Multivariate Risk Constraints
cutting plane	COLA and DietCOLA: An Open Source Framework for Solution of Mixed Integer Second Order Cone Optimization (MISOCO) Problems
cutting plane algorithm	Computing Bilevel Mixed Integer Quadratic Programs
Cutting Plane Method	Recent Progress on the DIP Decomposition-based MILP Solver
Cutting planes	On Some Generalizations of Split Cuts A Cutting Plane Method for Robust Mixed Integer Programming Cutting Planes for The Multi-Stage Stochastic Unit Commitment Problem Generating cuts for 0-1 IPs using binary decision diagrams On Maximal S-Free Sets with the Covering Property
Cutting-planes	Cut-Generating Functions for Integer Variables
CVaR	A stochastic CVaR approach to disaster relief with social costs
cyber-security	Maximal coverage problems for reducing cyber-security vulnerabilities
Cybersecurity	A Mathematical Programming Framework for Detecting Sybil Communities in Online Social Networks
D
DALEXS	Algorithms for Top-K Scheduling Queries Based on Partial Search Space for Discrete Decision Variables Based in Enumeration Heuristics
Dantzig-Wolfe	Recent Progress on the DIP Decomposition-based MILP Solver
data driven	Data-Driven Stochastic Optimization: A Disparity-based Robust Approach
Data envelopment analysis	ENERGY EFFICIENCY IN MANUFACTURING INDUSTRIES: AN ANALYSIS ACROSS COLOMBIAN DEPARTMENTS
data management	Decision Guidance Analytics Language (DGAL): Toward Reusable Knowledge Base Centric Modeling
Data mining	New Exact Formulations to Solve Generalizations and Extensions of the OPSM Problem Generation and Selection of Relational Attributes Cooperative Data Analysis in Supply Chains Using Selective Information Disclosure A dancing k nearest neighbor algorithm
Data Mining Software	Examining Commercial vs. Open-Source Predictive Analytics Software
data structure	Efficient storage of Pareto solutions in biobjective mixed integer programming
Data-Driven Stochastic Optimization	Data-Driven Stochastic Self-Scheduling for the Combined-Cycle Units
DC transmission switching	New Formulation and Valid Inequalities for the DC Transmission Switching Problem
decision analytics	Decision Guidance Analytics Language (DGAL): Toward Reusable Knowledge Base Centric Modeling Supply Chain Risk Assessment Decision Framework
decision diagram	Relaxations from Multiple Decision Diagrams
decision guidance	Optimizing Stochastic Temporal Manufacturing Processes with Inventories: An Efficient Heuristic Algorithm based on Deterministic Approximations Decision Guidance Analytics Language (DGAL): Toward Reusable Knowledge Base Centric Modeling
decision optimization	Toward Reusable Models: System Development for Process Analytics Formalism (PAF) Decision Guidance Analytics Language (DGAL): Toward Reusable Knowledge Base Centric Modeling Temporal Manufacturing Query Language (tMQL) for Domain Specific Composition, What-if Analysis, and Optimization of Manufacturing Processes With Inventories
Decision Sciences	Consumer Decision Simulator - Using Analytics To Cut On Marketing Research Expenses
decision support	Optimizing Forward Surgical Team Operating Room Scheduling for Mass Casualty Events Optimizing Stochastic Temporal Manufacturing Processes with Inventories: An Efficient Heuristic Algorithm based on Deterministic Approximations Toward Reusable Models: System Development for Process Analytics Formalism (PAF) Decision Guidance Analytics Language (DGAL): Toward Reusable Knowledge Base Centric Modeling
Decision support systems	Temporal Manufacturing Query Language (tMQL) for Domain Specific Composition, What-if Analysis, and Optimization of Manufacturing Processes With Inventories
Decomposition	Decomposition Algorithms for Two-Stage Chance-Constrained Stochastic Programs Approximate Versions of the Alternating Direction Method of Multipliers Recent Progress on the DIP Decomposition-based MILP Solver
Demand	Using Monte Carlo Simulations for Improved Selection of Heuristics for Aircraft Spare Parts Demand Forecasting
Demand charge reduction	Power consumption optimization with battery energy storage system (BESS) in electricity network
design of experiments	Designed Experiment Approach for the Tuning of Optimization Software Parameters: Insights into Influential Parameters
diabetes	A Mathematical Model to Estimate the Health Benefits and Costs of Diabetic Retinopathy Screening Programs
diabetic retinopathy	A Mathematical Model to Estimate the Health Benefits and Costs of Diabetic Retinopathy Screening Programs
Diagnostics	Constraint-Based Error Localization
diameter constrained network	Diameter-Constrained Network Design Problems with Connectivity Requirements
Differential Equations	A Hybrid Agent-Based and DE/Probabilistic Model for Simulating Antibiotic Resistance in a Hospital Ward
Dijkstra's algorithm	Dynamic Shortest Path Interdiction
dimensionality reduction	Principal Components Analysis and Optimization: A Tutorial
DIRECT	A Dividing Rectangles Algorithm for Stochastic Simulation Optimization
direct current optimal power flow	Combinatorial reliability cuts for the unit commitment problem in electric power systems Combinatorial reliability cuts for the unit commitment problem in electric power systems
direct search	A Dividing Rectangles Algorithm for Stochastic Simulation Optimization
Discrete Mathematics	How to schedule a tournament with a deck of playing cards
discrete optimization	Relaxations from Multiple Decision Diagrams Optimizing Forward Surgical Team Operating Room Scheduling for Mass Casualty Events
discrete-time Markov model	A Mathematical Model to Estimate the Health Benefits and Costs of Diabetic Retinopathy Screening Programs
Disjunctive cuts	Disjunctive Cuts for the Second-Order Cone and Its Cross-Sections
disparity	Data-Driven Stochastic Optimization: A Disparity-based Robust Approach
distributed branch and bound	Solving Discrete Optimization Problems in the Electrical Grid: New Parallel Algorithms
distributional information	Robust optimization with multiple ranges: theory and application to pharmaceutical project selection
Dividing Rectangles	A Dividing Rectangles Algorithm for Stochastic Simulation Optimization
Duality	Using and reusing dual information in MILP A short proof of infeasibility and generating all infeasible semidefinite programs
duration-based contracts	A Game Theory Model for a Differentiated Service-Oriented Internet with Duration-Based Contracts
Dynamic Discrete Choice	Learning Large Scale Dynamic Discrete Choice Models of Spatio-Temporal Preferences with Application to Migratory Pastoralism in East Africa
Dynamic Lookup Table	Value Function Approximation For Multi-Period Routing Problems
dynamic network models	Text Mining in Dynamic Blog Networks
Dynamic Optimization	Automatic Discretization of ODE and PDE Systems Using Pyomo
dynamic programming	A Functional Programming Approach to Dynamic Programs Arising in Inventory Management Dynamic Shortest Path Interdiction Information Filtering for arXiv.org: Bandits, Exploration vs. Exploitation, and the Cold Start Problem Approximation Strategies for Multistage Stochastic Programs Robust Protein Structure Alignment Green Vehicle Routing Problem with Time-varying Traffic Congestion
dynamic programming/optimal control	Weakly Coupled Dynamic Program: Information and Lagrangian Relaxations
Dynamic routing problem	Dynamic routing problem under uncertain demands and travel times
E
edge connectivity	Diameter-Constrained Network Design Problems with Connectivity Requirements
electronic medical data	Inference from Structured and Unstructured Electronic Medical Data for Early Dementia Detection
emergency medical services	Optimization Model for Ambulance Redeployment with Fair Workload Consideration of EMS Providers
Empirical Model Comparison	Simulation Selection for Empirical Model Comparison
energy	Combinatorial Optimization for Workload Dispatching in High Performance Computing Centers
Energy Applications	Approximation Strategies for Multistage Stochastic Programs
Energy efficiency	ENERGY EFFICIENCY IN MANUFACTURING INDUSTRIES: AN ANALYSIS ACROSS COLOMBIAN DEPARTMENTS
Energy Markets	Hedging for Risk Reduction using Weather Derivatives and Correlation in Renewable Energy Markets
Equitable dispersion problems	Heuristic Solution Approaches for the Maximum MinSum Dispersion Problem
Error	Using Monte Carlo Simulations for Improved Selection of Heuristics for Aircraft Spare Parts Demand Forecasting
Error handling and recovery	Constraint-Based Error Localization
exact algorithm	Maximum-Demand Rectangular Location Problem
Exact algorithms	Roundoff-Error-Free Algorithms for Solving Linear Systems via Cholesky and LU Factorizations
Exact mathematical programming	Roundoff-Error-Free Algorithms for Solving Linear Systems via Cholesky and LU Factorizations
Experimental Design	Simulation Selection for Empirical Model Comparison Optimal Learning for Scientific Discovery
extreme ray	Combinatorial reliability cuts for the unit commitment problem in electric power systems Combinatorial reliability cuts for the unit commitment problem in electric power systems
extreme value distribution	A Packing Approach to High Dimensional Inference
F
Facets	On the structure and separation of knapsack facets
Facility Layout Problem	A Simulated Annealing Algorithm with a Dynamic Temperature Schedule for the Cyclic Facility Layout Problem
facility location	Maximum-Demand Rectangular Location Problem
Faro Shuffle	An Analytical Study in Connectivity of Neighborhoods for Single Round Robin Tournaments How to schedule a tournament with a deck of playing cards
Fast Fourier Transform	Convex optimization and feasible circulant matrix embeddings in synthesis of stationary Gaussian fields
fathoming	Efficient storage of Pareto solutions in biobjective mixed integer programming
first-order method	An Augmented Lagrangian Method for Conic Convex Programming
flight safety	Text mining for bird strikes and geocoding
Forecasting	Using Monte Carlo Simulations for Improved Selection of Heuristics for Aircraft Spare Parts Demand Forecasting
Foundry Scheduling	Scheduling Foundry Production without Mold Inventory
fuel cycle	Dynamic Resource Exchange with CoinOR-CBC in Cyclus, a Nuclear Fuel Cycle Simulator
Fully connected graph	Comparison of similarity graphs for spectral clustering algorithms
Functional ANOVA Model	The Knowledge Gradient Policy using a Sparse Additive Belief Model
functional programming	A Functional Programming Approach to Dynamic Programs Arising in Inventory Management
Future Internet	A Game Theory Model for a Differentiated Service-Oriented Internet with Duration-Based Contracts
G
Gabriel graph	Comparison of similarity graphs for spectral clustering algorithms
game theory	A Game Theory Model for a Differentiated Service-Oriented Internet with Duration-Based Contracts
gaussian process	Building Design Multi-Objective Optimization with Active Learning
Generalized Assignment Problems	Very Large-Scale Neighborhood Search for Generalized Assignment Problems with Location/Allocation Considerations
Generate Start-up Sequencing	Power System Restoration with Integrated Sectionalization and Generator Start-up Sequencing
genetic algorithm	Building Design Multi-Objective Optimization with Active Learning
genetics algorithms	Green Vehicle Routing Problem with Time-varying Traffic Congestion
geocoding	Text mining for bird strikes and geocoding
global optimality	Sparse Mixed-Membership Matrix Factorization via Mixed-Integer Programming
gradient estimation	A Stochastic Optimization Approach to Assessing Simulation Input Uncertainty
GRASP	Heuristic Solution Approaches for the Maximum MinSum Dispersion Problem
green networking	Network Design with Compression: Complexity and Algorithms
green transportation	A branch-cut-and-price algorithm for the energy minimization vehicle routing problem
Ground delay optimization	Solving a distribution problem with stochastic programming, and an application to ground delay program planning.
H
health care	Appointment Scheduling with Multiple Providers and Stochastic Service Times Exact and Heuristic Approaches for Order Set Optimization An Agent-Based Model to Evaluate the Effectiveness of Antibiotic Stewardship Programs Agent-Based Mediation Modeling of a Controlled Trial to Reduce the Transmission of Multidrug-Resistant Organisms
healthcare	Process Improvement via Simulation for a Children's Advocacy Center
healthcare applications	Scheduling with stochastic processing times in a medical clinic
Heuristic	Integrated Stochastic Optimization over Metering Point Configurations at Airports Using Monte Carlo Simulations for Improved Selection of Heuristics for Aircraft Spare Parts Demand Forecasting A Two-Stage Partitioning Scheme for the Min-Max K Windy Rural Postman Problem
heuristic algorithm	Optimizing Stochastic Temporal Manufacturing Processes with Inventories: An Efficient Heuristic Algorithm based on Deterministic Approximations
heuristic evaluation	A Framework for the Systematic Evaluation of Computational Methods
Heuristics	Hospital-wide Physical Therapy Scheduling and Therapist Routing Exact and Heuristic Approaches for Order Set Optimization Two dimensional load balancing A Framework for the Systematic Evaluation of Computational Methods
High dimensional inference	A Packing Approach to High Dimensional Inference
homeland security	Maximal coverage problems for reducing cyber-security vulnerabilities
Homotopy Methods	Studying Constrained Clustering Problems using Homotopy Maps
Hospital readmission	Analyzing the Hospital-Related Flow of Congestive Heart Failure (CHF) Patients and Readmission Risk Factors Identification
Hub Location	A Benders Decomposition Algorithm for a Hub-Network Design Problem
human microbiome data	Ordination of Human Microbiome Data with L1-Norm PCA
humanitarian logistics	A stochastic CVaR approach to disaster relief with social costs
hybrid optimization	A Simulated Annealing Algorithm with a Dynamic Temperature Schedule for the Cyclic Facility Layout Problem Green Vehicle Routing Problem with Time-varying Traffic Congestion
Hypergraph	Discovery of Markov Network Graph Structure
I
increasing penalty	An Alternating Direction Method with Increasing Penalty for Stable Principal Component Pursuit
independent pathways	Cartesian Product Matrix Decomposition for Metabolic Reconstruction
Industrial Gases Supply Chains	Hybrid Decomposition Approach for Large Scale Supply Chains Production-Distribution Coordination
Infeasibility Certificate	A short proof of infeasibility and generating all infeasible semidefinite programs
infectious disease modeling	Solution of MINLP problems with Pyomo: Applications in nonlinear infectious disease spread
Infinite group problem	Cut-Generating Functions for Integer Variables
Influence Diffusion	Weighted Target Set Selection
influence maximization	Finding Influential Nodes for Initiating Successful Campaigns in Social Networks
influenza vaccine	Optimal Design of the Annual Influenza Vaccine with Manufacturing Autonomy
Information relaxation	Weakly Coupled Dynamic Program: Information and Lagrangian Relaxations
information retrieval	Information Retrieval Customized for Intelligence Collection
information sharing	Cooperative Data Analysis in Supply Chains Using Selective Information Disclosure
Integer Linear Program	Network-Based Models for Optimization in Reliability
Integer Programming	Computing Bilevel Mixed Integer Quadratic Programs On Some Generalizations of Split Cuts New Exact Formulations to Solve Generalizations and Extensions of the OPSM Problem Hospital-wide Physical Therapy Scheduling and Therapist Routing A Family of Exact Solvers for the Quadratic Assignment Problem Generating cuts for 0-1 IPs using binary decision diagrams A branch-cut-and-price algorithm for the energy minimization vehicle routing problem The worst case analysis of strong knapsack facets New Formulation and Valid Inequalities for the DC Transmission Switching Problem Row-Partition Branching for Set Partitioning Problems Weighted Target Set Selection
integrating heterogeneous data	Inference from Structured and Unstructured Electronic Medical Data for Early Dementia Detection
intelligence	Information Retrieval Customized for Intelligence Collection
interdiction	Dynamic Shortest Path Interdiction
Interior point method	High Peformance Optimization for Large-Scale Dense SVM and Quantile Regression Stochastic optimization of power grid systems and applications
inventory	A Functional Programming Approach to Dynamic Programs Arising in Inventory Management
inventory allocation problems	Multi-Period Stock Allocation Via Robust Optimization
Inventory Management	Temporal Manufacturing Query Language (tMQL) for Domain Specific Composition, What-if Analysis, and Optimization of Manufacturing Processes With Inventories
inventory routing	An Approximate Dynamic Programming Algorithm for the Military Inventory Routing Problem with Direct Delivery
Inverse optimization	Assessing the Effect of Lipid Profile on Quality of Life: An Inverse MILP Approach
Inverse Reinforcement Learning	Learning Large Scale Dynamic Discrete Choice Models of Spatio-Temporal Preferences with Application to Migratory Pastoralism in East Africa
J
Job Shop Scheduling	Hospital-wide Physical Therapy Scheduling and Therapist Routing
K
k nearest neighbor	A dancing k nearest neighbor algorithm
K-best reliable paths	Pruning algorithms to determine reliable paths on networks with random and correlated link travel times
k-nearest neighbor	Comparison of similarity graphs for spectral clustering algorithms
Knapsack Facets	The worst case analysis of strong knapsack facets
knapsack problem	Semi-Infinite Relaxations for the Dynamic Knapsack Problem with Stochastic Item Sizes
kNN	A dancing k nearest neighbor algorithm
knowledge gradient	Optimal Learning with Nonlinear Belief Models The Knowledge Gradient Policy using a Sparse Additive Belief Model
Kolmogorov-Smirnov Test	Computing in Probability
L
l0 norm minimization	Complementarity Formulation for l0 Norm Minimization Problems
L1-norm best-fit line	Ordination of Human Microbiome Data with L1-Norm PCA
L1-norm regularization	The Support Vector Machine and Mixed Integer Linear Programming: Ramp Loss SVM with L1-Norm Regularization
Label setting algorithm	Continuous and Discrete Time Label Setting Algorithms for the Time Dependent Bi-criteria Shortest Path Problem
Lagrange	Constraint-Based Lagrangian Relaxation
Lagrangian decomposition	Integrated Stochastic Optimization over Metering Point Configurations at Airports
Lagrangian Relaxation	Relaxations from Multiple Decision Diagrams Weakly Coupled Dynamic Program: Information and Lagrangian Relaxations Finding Influential Nodes for Initiating Successful Campaigns in Social Networks
Large scale problem	Scheduling agents using forecast call arrivals at Hydro-Québec's call centers
Large-scale dynamic programming	An Approximate Dynamic Programming Algorithm for Monotone Value Functions
LDA	Text Mining in Dynamic Blog Networks
least squares temporal differences	An Approximate Dynamic Programming Algorithm for the Military Inventory Routing Problem with Direct Delivery
Library	A Two-Stage Partitioning Scheme for the Min-Max K Windy Rural Postman Problem
linearization techniques	Distributionally Robust Appointment Scheduling with Random Service Durations and No-shows
Load uncertainty	Power consumption optimization with battery energy storage system (BESS) in electricity network
local PCA	Topological Data Analysis of Text
local search	Accelerating Scenario Decomposition Algorithms Using Forbidden Neighborhoods and Local Search A Branch-and-price Algorithm for the Capacitated Mobile Facility Location Problem
Logistics	Aerial Coffee Delivery: Preference Appraisal Reinforcement Leaning in Presence of Stochastic Input Disturbances for Control-affine Systems
M
machine learning	Decision Guidance Analytics Language (DGAL): Toward Reusable Knowledge Base Centric Modeling Learning Large Scale Dynamic Discrete Choice Models of Spatio-Temporal Preferences with Application to Migratory Pastoralism in East Africa Convex optimization for machine learning in map reduce
Makespan	Two dimensional load balancing
Marketing	Consumer Decision Simulator - Using Analytics To Cut On Marketing Research Expenses
Marketing Research	Consumer Decision Simulator - Using Analytics To Cut On Marketing Research Expenses
Markov decision process	A Stochastic Approach to the Management of Plug-In Hybrid Electric Vehicle Swap Stations An Approximate Dynamic Programming Algorithm for United States Air Force Officer Sustainment
Markov decision processes	An Approximate Dynamic Programming Algorithm for the Military Inventory Routing Problem with Direct Delivery Assessing the Effect of Lipid Profile on Quality of Life: An Inverse MILP Approach
Markov Random Field	Discovery of Markov Network Graph Structure
Markov-chain	Analyzing the Hospital-Related Flow of Congestive Heart Failure (CHF) Patients and Readmission Risk Factors Identification
Master knapsack polytope	On the structure and separation of knapsack facets
Mathematical Program with complementarity constraints	Complementarity Formulation for l0 Norm Minimization Problems
Mathematical Programming	Enhancing the reliability of MIP branching decisions by using sample variance of pseudo costs
matrix factorization	Sparse Mixed-Membership Matrix Factorization via Mixed-Integer Programming
Matrix factorizations	Roundoff-Error-Free Algorithms for Solving Linear Systems via Cholesky and LU Factorizations
MAX-CUT	A Framework for the Systematic Evaluation of Computational Methods
Maximum likelihood inverse problems	Sensitivity functions and Maximum Likelihood method in Nonlinear Optimization
Maximum machine cost	Two dimensional load balancing
meta-heuristics	Multi-objective Flexible Flow-Shop Scheduling with Energy Costs
metabolic reconstruction	Cartesian Product Matrix Decomposition for Metabolic Reconstruction
metaheuristics	Heuristic Solution Approaches for the Maximum MinSum Dispersion Problem
military manpower	An Approximate Dynamic Programming Algorithm for United States Air Force Officer Sustainment
military medicine	Optimizing Forward Surgical Team Operating Room Scheduling for Mass Casualty Events
MILP	Hybrid Decomposition Approach for Large Scale Supply Chains Production-Distribution Coordination Using and reusing dual information in MILP
Min-Max K	A Two-Stage Partitioning Scheme for the Min-Max K Windy Rural Postman Problem
Minimum enclosing ball	A branch and bound approach to the minimum k-enclosing ball problem
minimum robust-cost path	Pruning algorithms to determine reliable paths on networks with random and correlated link travel times
Mixed integer linear programming	A Cutting Plane Method for Robust Mixed Integer Programming
Mixed Integer Optimization	Risk averse Shortest path problems: a computational study
Mixed Integer Programming	Testing Assumptions for Causal Inference with Observational Data Using the BOSS Model Scheduling with stochastic processing times in a medical clinic Designed Experiment Approach for the Tuning of Optimization Software Parameters: Insights into Influential Parameters The Support Vector Machine and Mixed Integer Linear Programming: Ramp Loss SVM with L1-Norm Regularization On Maximal S-Free Sets with the Covering Property Recent Progress on the DIP Decomposition-based MILP Solver Computational Experience with a Generalized Benders Approach to Solving Two-stage Stochastic Programs with Mixed Integer Recourse Risk Averse Shortest Path Interdiction Enhancing the reliability of MIP branching decisions by using sample variance of pseudo costs Green Vehicle Routing Problem with Time-varying Traffic Congestion
mixed integer second order conic optimization	COLA and DietCOLA: An Open Source Framework for Solution of Mixed Integer Second Order Cone Optimization (MISOCO) Problems
Mixed Integer Stochastic Programming	Progressive Hedging Enhancements
Mixed-integer conic programming	Disjunctive Cuts for the Second-Order Cone and Its Cross-Sections
Mixed-Integer Linear Programming	Strengthened MILP Formulation for Certain Gas Turbine Unit Commitment
mixed-integer nonlinear programming	A MINLP Model and Analysis for Natural Gas Transmission Network Design Solution of MINLP problems with Pyomo: Applications in nonlinear infectious disease spread
mixed-integer program	Sparse Mixed-Membership Matrix Factorization via Mixed-Integer Programming
Mixed-integer programming	A computational study of a Benders algorithm for solving two-stage stochastic mixed-integer linear programs Exact and Heuristic Approaches for Order Set Optimization Cut-Generating Functions for Integer Variables Very Large-Scale Neighborhood Search for Generalized Assignment Problems with Location/Allocation Considerations
mixed-integer trilinear programming	Distributionally Robust Appointment Scheduling with Random Service Durations and No-shows
Model averaging	An averaged confidence interval after model selection
model transformations	Leveraging Model Transformations in Algebraic Modeling Systems
model uncertainty	A Stochastic Optimization Approach to Assessing Simulation Input Uncertainty
modeling	A Formal Model for Optimizing Dynamic Service Composition
modeling languages	Alternatives for Programming in Conjunction with an Algebraic Modeling Language for Optimization
modeling systems	Alternatives for Programming in Conjunction with an Algebraic Modeling Language for Optimization
modified subgradient method	Integrated Stochastic Optimization over Metering Point Configurations at Airports
moment uncertainty set	Distributionally Robust Appointment Scheduling with Random Service Durations and No-shows
Monotone Policy	A Stochastic Approach to the Management of Plug-In Hybrid Electric Vehicle Swap Stations
Monotone value functions	An Approximate Dynamic Programming Algorithm for Monotone Value Functions
Multi-activity shift scheduling	Scheduling agents using forecast call arrivals at Hydro-Québec's call centers
multi-armed bandit	Information Filtering for arXiv.org: Bandits, Exploration vs. Exploitation, and the Cold Start Problem
Multi-criteria optimization	Continuous and Discrete Time Label Setting Algorithms for the Time Dependent Bi-criteria Shortest Path Problem
multi-echelon inventory theory	Multi-Period Stock Allocation Via Robust Optimization
Multi-fidelity simulation	Multi-fidelity Optimization with Ordinal Transformation and Optimal Sampling
multi-objective	Building Design Multi-Objective Optimization with Active Learning Multi-objective Flexible Flow-Shop Scheduling with Energy Costs
Multi-Periodicity	Value Function Approximation For Multi-Period Routing Problems
Multiple providers	Appointment Scheduling with Multiple Providers and Stochastic Service Times
multiple ranges	Robust optimization with multiple ranges: theory and application to pharmaceutical project selection
multistage stochastic programming	Optimal Design of the Annual Influenza Vaccine with Manufacturing Autonomy
Multivariate risk-aversion	Cut Generation for Optimization Problems with Multivariate Risk Constraints
N
N-1 reliability	Combinatorial reliability cuts for the unit commitment problem in electric power systems Combinatorial reliability cuts for the unit commitment problem in electric power systems
narrative structure	Prediction in the Space of Narratives
National Science Foundation Poster Session	How to schedule a tournament with a deck of playing cards
natural gas transmission networks	A MINLP Model and Analysis for Natural Gas Transmission Network Design
Neighborhood Analysis	An Analytical Study in Connectivity of Neighborhoods for Single Round Robin Tournaments
Network applications	A Mathematical Programming Framework for Detecting Sybil Communities in Online Social Networks
Network Design	A MINLP Model and Analysis for Natural Gas Transmission Network Design A Two-Stage Stochastic Program for Closed-loop Supply Chain Network Design under Demand and Return Uncertainty A Benders Decomposition Algorithm for a Hub-Network Design Problem
network design on trees	Network Design with Compression: Complexity and Algorithms
Network Interdiction	Risk Averse Shortest Path Interdiction
network optimization	Dynamic Shortest Path Interdiction Risk averse Shortest path problems: a computational study
networks	A Game Theory Model for a Differentiated Service-Oriented Internet with Duration-Based Contracts
networks and data compression	Network Design with Compression: Complexity and Algorithms
No-shows	Appointment Scheduling with Multiple Providers and Stochastic Service Times
nonlinear belief models	Optimal Learning with Nonlinear Belief Models
Nonlinear dynamic models	Sensitivity functions and Maximum Likelihood method in Nonlinear Optimization
Nonlinear Minimization	Studying Constrained Clustering Problems using Homotopy Maps
Nonlinear Optimization	A regularized SQP method for degenerate equality-constrained optimization
nonlinear programming	A Parallel Nonlinear Stochastic Programming Approach for Optimal Power Flow with N-1 Contingency Constraints Automatic Discretization of ODE and PDE Systems Using Pyomo
nonlinear stochastic programming	A Parallel Nonlinear Stochastic Programming Approach for Optimal Power Flow with N-1 Contingency Constraints
NP-hard	Two dimensional load balancing
nuclear	Dynamic Resource Exchange with CoinOR-CBC in Cyclus, a Nuclear Fuel Cycle Simulator
O
observational data	Testing Assumptions for Causal Inference with Observational Data Using the BOSS Model
OCBA	A Dividing Rectangles Algorithm for Stochastic Simulation Optimization
One class classification	A Novel Lightly Trained Support Vector Data Description for Novelty Detection
Online Stochastic Optimisation	Optimal Resource Allocation with Semi-Bandit Feedback
Open	A Two-Stage Partitioning Scheme for the Min-Max K Windy Rural Postman Problem
open source	Pyomo 4.0 A Family of Exact Solvers for the Quadratic Assignment Problem COLA and DietCOLA: An Open Source Framework for Solution of Mixed Integer Second Order Cone Optimization (MISOCO) Problems
Open-Source	Examining Commercial vs. Open-Source Predictive Analytics Software
open-source code	RLT-POS: Reformulation-Linearization Technique-based Optimization Software for Solving Polynomial Programming Problems
open-source modeling	Solution of MINLP problems with Pyomo: Applications in nonlinear infectious disease spread
Operations Research	Scheduling Foundry Production without Mold Inventory
OPSM	New Exact Formulations to Solve Generalizations and Extensions of the OPSM Problem
optimal computing budget allocation	A Dividing Rectangles Algorithm for Stochastic Simulation Optimization
Optimal hedging	Hedging for Risk Reduction using Weather Derivatives and Correlation in Renewable Energy Markets
optimal learning	Optimal Learning with Nonlinear Belief Models Optimal learning in regression with combinatorial feature selection Optimal Learning for Scientific Discovery
Optimal Policy	Doubly Stochastic Sequential Assignment Problem
optimal power flow	A Parallel Nonlinear Stochastic Programming Approach for Optimal Power Flow with N-1 Contingency Constraints New Formulation and Valid Inequalities for the Optimal Power Flow Problem
optimal reliable path	Pruning algorithms to determine reliable paths on networks with random and correlated link travel times
optimal sampling	Multi-fidelity Optimization with Ordinal Transformation and Optimal Sampling
optimization	Principal Components Analysis and Optimization: A Tutorial Combinatorial Optimization for Workload Dispatching in High Performance Computing Centers Constraint-Based Lagrangian Relaxation Dynamic Resource Exchange with CoinOR-CBC in Cyclus, a Nuclear Fuel Cycle Simulator High Peformance Optimization for Large-Scale Dense SVM and Quantile Regression Generating Worst-case Schedules with Constraint Optimization - An Approach to Support Software Performance Testing A Formal Model for Optimizing Dynamic Service Composition Studying Constrained Clustering Problems using Homotopy Maps A Two-Stage Partitioning Scheme for the Min-Max K Windy Rural Postman Problem
Optimization under Uncertainty	Optimization Under Uncertainty and Unit Commitment with Renewable Energy Integration
ordinal transformation	Multi-fidelity Optimization with Ordinal Transformation and Optimal Sampling
ordination	Ordination of Human Microbiome Data with L1-Norm PCA
Overbooking	Appointment Scheduling with Multiple Providers and Stochastic Service Times
P
p-center problem	Maximum-Demand Rectangular Location Problem
Panel data models	ENERGY EFFICIENCY IN MANUFACTURING INDUSTRIES: AN ANALYSIS ACROSS COLOMBIAN DEPARTMENTS
parallel	A Functional Programming Approach to Dynamic Programs Arising in Inventory Management
parallel algorithm	Solving Discrete Optimization Problems in the Electrical Grid: New Parallel Algorithms
parallel computing	A Parallel Nonlinear Stochastic Programming Approach for Optimal Power Flow with N-1 Contingency Constraints Progressive Hedging Enhancements Convex optimization for machine learning in map reduce
parallel implementation	A Functional Programming Approach to Dynamic Programs Arising in Inventory Management
Parallel machines	Two dimensional load balancing
parallelism	Sharing pseudocosts among branch-and-bound trees
Parameter estimation	Sensitivity functions and Maximum Likelihood method in Nonlinear Optimization
parameter tuning	Designed Experiment Approach for the Tuning of Optimization Software Parameters: Insights into Influential Parameters
Pareto set	Efficient storage of Pareto solutions in biobjective mixed integer programming
Pastoralism	Learning Large Scale Dynamic Discrete Choice Models of Spatio-Temporal Preferences with Application to Migratory Pastoralism in East Africa
Patterns in relational databases	Generation and Selection of Relational Attributes
performance	Generating Worst-case Schedules with Constraint Optimization - An Approach to Support Software Performance Testing
personnel workload	Optimization Model for Ambulance Redeployment with Fair Workload Consideration of EMS Providers
phase-type distribution	Analyzing the Hospital-Related Flow of Congestive Heart Failure (CHF) Patients and Readmission Risk Factors Identification
Planning under uncertainty	Learning Large Scale Dynamic Discrete Choice Models of Spatio-Temporal Preferences with Application to Migratory Pastoralism in East Africa
Plug-In Hybrid Electric Vehicles	A Stochastic Approach to the Management of Plug-In Hybrid Electric Vehicle Swap Stations
Polyhedral theory	On the structure and separation of knapsack facets
Polynomial Optimization	New Formulation and Valid Inequalities for the Optimal Power Flow Problem
polynomial programming	RLT-POS: Reformulation-Linearization Technique-based Optimization Software for Solving Polynomial Programming Problems
portfolio optimization	Pricing a Portfolio of American Options
Post-model-selection Inference	An averaged confidence interval after model selection
Postman	A Two-Stage Partitioning Scheme for the Min-Max K Windy Rural Postman Problem
Power grid	Stochastic optimization of power grid systems and applications
Power Grid Interdiction	Stochastic optimized restoration of power systems
Power System Operations	Cutting Planes for The Multi-Stage Stochastic Unit Commitment Problem
Power Systems	Accelerating Scenario Decomposition Algorithms Using Forbidden Neighborhoods and Local Search Power System Restoration with Integrated Sectionalization and Generator Start-up Sequencing
Power Systems' Restoration	Stochastic optimized restoration of power systems
prediction	Prediction in the Space of Narratives
Predictive Analytics	Examining Commercial vs. Open-Source Predictive Analytics Software
Pricing American Options	Pricing a Portfolio of American Options
principal component analysis	Ordination of Human Microbiome Data with L1-Norm PCA
principal components analysis	Principal Components Analysis and Optimization: A Tutorial
privacy	Cooperative Data Analysis in Supply Chains Using Selective Information Disclosure
Probability Distributions	Computing in Probability
process improvement	Process Improvement via Simulation for a Children's Advocacy Center
process modeling	Toward Reusable Models: System Development for Process Analytics Formalism (PAF)
Progressive Hedging	Solving Discrete Optimization Problems in the Electrical Grid: New Parallel Algorithms Stochastic Unit Commitment At Scale Progressive Hedging Enhancements
protein alignment	Robust Protein Structure Alignment
pseudocosts	Sharing pseudocosts among branch-and-bound trees
Pyomo	Leveraging Model Transformations in Algebraic Modeling Systems Scheduling Foundry Production without Mold Inventory
Python	Pyomo 4.0 Modeling Bilevel Programs in Pyomo
Q
quad-tree	Efficient storage of Pareto solutions in biobjective mixed integer programming
quadratic assignment problem	A Family of Exact Solvers for the Quadratic Assignment Problem
quality of service	A Formal Model for Optimizing Dynamic Service Composition
Quantile regression	High Peformance Optimization for Large-Scale Dense SVM and Quantile Regression
R
R	Examining Commercial vs. Open-Source Predictive Analytics Software
R&D project selection	Robust optimization with multiple ranges: theory and application to pharmaceutical project selection
railroad classification yard	Simulation Optimization for the Scheduling of a Railroad Classification Yard
ramp loss	The Support Vector Machine and Mixed Integer Linear Programming: Ramp Loss SVM with L1-Norm Regularization
Ranking and Selection	Optimal learning in regression with combinatorial feature selection Simulation Selection for Empirical Model Comparison The Knowledge Gradient Policy using a Sparse Additive Belief Model
ranking heuristic	Robust optimization with multiple ranges: theory and application to pharmaceutical project selection
Real time optimization algorithm	Power consumption optimization with battery energy storage system (BESS) in electricity network
real-time	Generating Worst-case Schedules with Constraint Optimization - An Approach to Support Software Performance Testing
Recommender Systems	Requirements Management in Sustainable Systems: An Application of Recommender Systems
rectangle positioning	Maximum-Demand Rectangular Location Problem
Reduced Cost Fixing	Using and reusing dual information in MILP
reduced RLT representations	RLT-POS: Reformulation-Linearization Technique-based Optimization Software for Solving Polynomial Programming Problems
Reformulation-Linearization Technique (RLT)	RLT-POS: Reformulation-Linearization Technique-based Optimization Software for Solving Polynomial Programming Problems
Regularization	A regularized SQP method for degenerate equality-constrained optimization
Reinforcement learning	Aerial Coffee Delivery: Preference Appraisal Reinforcement Leaning in Presence of Stochastic Input Disturbances for Control-affine Systems
reinforcement learning policy-search	Data-Driven Decision Strategies for Large Spatio-Temporal Decision Problems
Relational data mining	Generation and Selection of Relational Attributes
Reliability	Network-Based Models for Optimization in Reliability Pruning algorithms to determine reliable paths on networks with random and correlated link travel times
Reliability Branching	Enhancing the reliability of MIP branching decisions by using sample variance of pseudo costs
Renewable energy	Robust Power System Scheduling with Hydro Resources Hedging for Risk Reduction using Weather Derivatives and Correlation in Renewable Energy Markets
Renewable Energy Integration	Optimization Under Uncertainty and Unit Commitment with Renewable Energy Integration
Requirements Management	Requirements Management in Sustainable Systems: An Application of Recommender Systems
Resource Allocation	Optimal Resource Allocation with Semi-Bandit Feedback Dynamic Modeling for Arctic Resource Allocation
Resource-constrained shortest path	Continuous and Discrete Time Label Setting Algorithms for the Time Dependent Bi-criteria Shortest Path Problem
reusable optimization	Toward Reusable Models: System Development for Process Analytics Formalism (PAF)
risk assessment	Supply Chain Risk Assessment Decision Framework
Risk Management	Hedging for Risk Reduction using Weather Derivatives and Correlation in Renewable Energy Markets
risk-aware kidney exchange	Loss-Constrained Minimum Cost Flow under Arc Failure Uncertainty with Applications in Risk-Aware Kidney Exchange
robust analysis	Robust Protein Structure Alignment
robust optimization	Robust Power System Scheduling with Hydro Resources Dynamic Shortest Path Interdiction Multi-Period Stock Allocation Via Robust Optimization A Cutting Plane Method for Robust Mixed Integer Programming Robust optimization with multiple ranges: theory and application to pharmaceutical project selection
robustness	Data-Driven Stochastic Optimization: A Disparity-based Robust Approach
Rolling Horizon	Hybrid Decomposition Approach for Large Scale Supply Chains Production-Distribution Coordination
root finding	Adaptive Sampling Controlled Stochastic Recursions
Roundoff errors	Roundoff-Error-Free Algorithms for Solving Linear Systems via Cholesky and LU Factorizations
Routing	A Two-Stage Partitioning Scheme for the Min-Max K Windy Rural Postman Problem
Rural	A Two-Stage Partitioning Scheme for the Min-Max K Windy Rural Postman Problem
S
S-Free Sets	On Maximal S-Free Sets with the Covering Property
sample average approximation	Confidence interval computation for stochastic variational inequalities and stochastic Cournot-Nash equilibria
SB-VRP	A Heuristic Approach for the Swap-Body Vehicle Routing Problem
SBVRP	A Heuristic Approach for the Swap-Body Vehicle Routing Problem
scenario generation	Stochastic Unit Commitment At Scale
Scheduling	Simulation Optimization for the Scheduling of a Railroad Classification Yard Multi-objective Flexible Flow-Shop Scheduling with Energy Costs Dynamic Modeling for Arctic Resource Allocation Assembly Flowshop Scheduling Problem with Total Tardiness Performance Measure
scheduling models	Optimizing Forward Surgical Team Operating Room Scheduling for Mass Casualty Events
Scheduling Problem	Algorithms for Top-K Scheduling Queries Based on Partial Search Space for Discrete Decision Variables Based in Enumeration Heuristics
screening	A Mathematical Model to Estimate the Health Benefits and Costs of Diabetic Retinopathy Screening Programs
scripting	Alternatives for Programming in Conjunction with an Algebraic Modeling Language for Optimization
Second order conic optimization	COLA and DietCOLA: An Open Source Framework for Solution of Mixed Integer Second Order Cone Optimization (MISOCO) Problems
Second-order cone programming	Automatic Reformulation of Second-Order Cone Programming Problems Disjunctive Cuts for the Second-Order Cone and Its Cross-Sections
Secretary Problem	Doubly Stochastic Sequential Assignment Problem
security	Supply Chain Risk Assessment Decision Framework
security-constrained unit commitment	Combinatorial reliability cuts for the unit commitment problem in electric power systems Combinatorial reliability cuts for the unit commitment problem in electric power systems
seed selection	Finding Influential Nodes for Initiating Successful Campaigns in Social Networks
Self Scheduling	Data-Driven Stochastic Self-Scheduling for the Combined-Cycle Units
semi-infinite linear program	Semi-Infinite Relaxations for the Dynamic Knapsack Problem with Stochastic Item Sizes
Semi-infinite programming	Power System Restoration with Integrated Sectionalization and Generator Start-up Sequencing
Semidefinite Programming	A short proof of infeasibility and generating all infeasible semidefinite programs
Sensitivity functions	Sensitivity functions and Maximum Likelihood method in Nonlinear Optimization
Sequential Assignment	Doubly Stochastic Sequential Assignment Problem
Sequential Quadratic Programming	A regularized SQP method for degenerate equality-constrained optimization
service operation	Distributionally Robust Appointment Scheduling with Random Service Durations and No-shows
Service Operation Applications	Conditional Chance Constraints and Applications
Service operations	Appointment Scheduling with Multiple Providers and Stochastic Service Times
service-oriented Internet	A Game Theory Model for a Differentiated Service-Oriented Internet with Duration-Based Contracts
services	A Formal Model for Optimizing Dynamic Service Composition
Set Covering Problems	Orbital Conflict
Set Partitioning Problem	Row-Partition Branching for Set Partitioning Problems
Setup times	Assembly Flowshop Scheduling Problem with Total Tardiness Performance Measure
Shooting experiment	On the structure and separation of knapsack facets
Simplex like algorithms	A branch and bound approach to the minimum k-enclosing ball problem
Simulated Annealing	A Simulated Annealing Algorithm with a Dynamic Temperature Schedule for the Cyclic Facility Layout Problem
simulation	Process Improvement via Simulation for a Children's Advocacy Center Using Monte Carlo Simulations for Improved Selection of Heuristics for Aircraft Spare Parts Demand Forecasting Dynamic Resource Exchange with CoinOR-CBC in Cyclus, a Nuclear Fuel Cycle Simulator Prediction in the Space of Narratives An Agent-Based Model to Evaluate the Effectiveness of Antibiotic Stewardship Programs Agent-Based Mediation Modeling of a Controlled Trial to Reduce the Transmission of Multidrug-Resistant Organisms
simulation optimization	Multi-fidelity Optimization with Ordinal Transformation and Optimal Sampling Simulation Optimization for the Scheduling of a Railroad Classification Yard A Dividing Rectangles Algorithm for Stochastic Simulation Optimization Adaptive Sampling Controlled Stochastic Recursions
simulation-optimization methods	Data-Driven Decision Strategies for Large Spatio-Temporal Decision Problems
Smart Manufacturing	Optimizing Stochastic Temporal Manufacturing Processes with Inventories: An Efficient Heuristic Algorithm based on Deterministic Approximations Temporal Manufacturing Query Language (tMQL) for Domain Specific Composition, What-if Analysis, and Optimization of Manufacturing Processes With Inventories
SMRGOL	Algorithms for Top-K Scheduling Queries Based on Partial Search Space for Discrete Decision Variables Based in Enumeration Heuristics
social network	Information Retrieval Customized for Intelligence Collection
Social Networks	A Mathematical Programming Framework for Detecting Sybil Communities in Online Social Networks Finding Influential Nodes for Initiating Successful Campaigns in Social Networks Weighted Target Set Selection
SOCP	Automatic Reformulation of Second-Order Cone Programming Problems
Solution Diversity	Assessing Both Solution Diversity and Solution Quality in Constraint Programming
solution enumeration	Cartesian Product Matrix Decomposition for Metabolic Reconstruction
Solution Quality	Assessing Both Solution Diversity and Solution Quality in Constraint Programming
Solving linear systems	Roundoff-Error-Free Algorithms for Solving Linear Systems via Cholesky and LU Factorizations
Source	A Two-Stage Partitioning Scheme for the Min-Max K Windy Rural Postman Problem
Sparse Additive Models	The Knowledge Gradient Policy using a Sparse Additive Belief Model
spatio-temporal decision problems	Data-Driven Decision Strategies for Large Spatio-Temporal Decision Problems
Spectral clustering	Comparison of similarity graphs for spectral clustering algorithms
spherical cap packing	A Packing Approach to High Dimensional Inference
Split cuts	Strengthened Benders Cuts for Stochastic Integer Programs with Continuous Recourse
Sport Scheduling	How to schedule a tournament with a deck of playing cards
Sport Scheduling Problems	An Analytical Study in Connectivity of Neighborhoods for Single Round Robin Tournaments
SPSS Modeler	Examining Commercial vs. Open-Source Predictive Analytics Software
spurious correlation	A Packing Approach to High Dimensional Inference
stable principal component pursuit	An Alternating Direction Method with Increasing Penalty for Stable Principal Component Pursuit
stochastic	A stochastic CVaR approach to disaster relief with social costs
stochastic approximation	A Stochastic Optimization Approach to Assessing Simulation Input Uncertainty Adaptive Sampling Controlled Stochastic Recursions
Stochastic Bandits	Optimal Resource Allocation with Semi-Bandit Feedback
Stochastic compositional gradient methods	Stochastic Compositional Gradient Methods: Minimizing Nonlinear Functions of Expected-Values
Stochastic container loading	The Dynamic and Stochastic Container Loading Problem
Stochastic Customer Requests	Value Function Approximation For Multi-Period Routing Problems
stochastic decomposition	Solving two-stage stochastic linear programming with stochastic decomposition (SD)
Stochastic demands	Dynamic routing problem under uncertain demands and travel times
stochastic derivative free	Adaptive Sampling Trust-Region Optimization (ASTRO)
stochastic dynamic program	Integrated Stochastic Optimization over Metering Point Configurations at Airports
stochastic integer program	Integrated Stochastic Optimization over Metering Point Configurations at Airports
Stochastic Integer Programming	Cutting Planes for The Multi-Stage Stochastic Unit Commitment Problem Scheduling with stochastic processing times in a medical clinic Conditional Chance Constraints and Applications
Stochastic knapsack	The Dynamic and Stochastic Container Loading Problem
stochastic minimum cost flow	Loss-Constrained Minimum Cost Flow under Arc Failure Uncertainty with Applications in Risk-Aware Kidney Exchange
stochastic mixed integer program	Tight second-stage MIP formulations for two-stage stochastic mixed integer programs
Stochastic Mixed Integer Programming	Stochastic optimized restoration of power systems
stochastic networks	Pruning algorithms to determine reliable paths on networks with random and correlated link travel times
stochastic nonlinear programming	Better Optimization of Nonlinear Uncertain Systems (BONUS) Algorithm for Large Scale Real World Stochastic Nonlinear Programming Problems.
stochastic optimization	Better Optimization of Nonlinear Uncertain Systems (BONUS) Algorithm for Large Scale Real World Stochastic Nonlinear Programming Problems. Confidence interval computation for stochastic variational inequalities and stochastic Cournot-Nash equilibria Approximation Strategies for Multistage Stochastic Programs Integrated Stochastic Optimization over Metering Point Configurations at Airports Data-Driven Stochastic Optimization: A Disparity-based Robust Approach A Dividing Rectangles Algorithm for Stochastic Simulation Optimization
Stochastic programming	Accelerating Scenario Decomposition Algorithms Using Forbidden Neighborhoods and Local Search Risk averse Shortest path problems: a computational study Solving a distribution problem with stochastic programming, and an application to ground delay program planning. Combinatorial reliability cuts for the unit commitment problem in electric power systems A Two-Stage Stochastic Program for Closed-loop Supply Chain Network Design under Demand and Return Uncertainty Stochastic Unit Commitment At Scale Stochastic optimization of power grid systems and applications Computational Experience with a Generalized Benders Approach to Solving Two-stage Stochastic Programs with Mixed Integer Recourse Combinatorial reliability cuts for the unit commitment problem in electric power systems Dynamic Modeling for Arctic Resource Allocation
stochastic recursions	Adaptive Sampling Controlled Stochastic Recursions
Stochastic service times	Appointment Scheduling with Multiple Providers and Stochastic Service Times
stochastic simulation optimization	Optimizing Stochastic Temporal Manufacturing Processes with Inventories: An Efficient Heuristic Algorithm based on Deterministic Approximations
Stochastic travel times	Dynamic routing problem under uncertain demands and travel times
stochastic trust region	Adaptive Sampling Trust-Region Optimization (ASTRO)
stochastic variational inequality	Confidence interval computation for stochastic variational inequalities and stochastic Cournot-Nash equilibria
Strategy	Consumer Decision Simulator - Using Analytics To Cut On Marketing Research Expenses
Strong Duality	A short proof of infeasibility and generating all infeasible semidefinite programs
Strong Formulation	Weighted Target Set Selection
Strong Valid Inequality​	Strengthened MILP Formulation for Certain Gas Turbine Unit Commitment
Structure Learning	Discovery of Markov Network Graph Structure
structured and unstructured data	Inference from Structured and Unstructured Electronic Medical Data for Early Dementia Detection
Student Travel Award	How to schedule a tournament with a deck of playing cards
subspace fitting	Ordination of Human Microbiome Data with L1-Norm PCA
supply chain	Cooperative Data Analysis in Supply Chains Using Selective Information Disclosure Supply Chain Risk Assessment Decision Framework
supply chain risk management	Supply Chain Risk Assessment Decision Framework
Support Vector Machine	The Support Vector Machine and Mixed Integer Linear Programming: Ramp Loss SVM with L1-Norm Regularization
Sustainability	Requirements Management in Sustainable Systems: An Application of Recommender Systems
Sustainable Development	Learning Large Scale Dynamic Discrete Choice Models of Spatio-Temporal Preferences with Application to Migratory Pastoralism in East Africa
SVDD	A Novel Lightly Trained Support Vector Data Description for Novelty Detection
SVM	High Peformance Optimization for Large-Scale Dense SVM and Quantile Regression
Swap Body	A Heuristic Approach for the Swap-Body Vehicle Routing Problem
Sybil node attack	A Mathematical Programming Framework for Detecting Sybil Communities in Online Social Networks
Symmetry	Orbital Conflict
synthesis of stationary Gaussian fields	Convex optimization and feasible circulant matrix embeddings in synthesis of stationary Gaussian fields
Systems Engineering	Requirements Management in Sustainable Systems: An Application of Recommender Systems
T
tabu search	Heuristic Solution Approaches for the Maximum MinSum Dispersion Problem
TARDIS	Algorithms for Top-K Scheduling Queries Based on Partial Search Space for Discrete Decision Variables Based in Enumeration Heuristics
Temporal Lagrangean Decomposition	Hybrid Decomposition Approach for Large Scale Supply Chains Production-Distribution Coordination
testing	Generating Worst-case Schedules with Constraint Optimization - An Approach to Support Software Performance Testing
Testing and Debugging aids	Constraint-Based Error Localization
text mining	Text mining for bird strikes and geocoding Topological Data Analysis of Text Text Mining in Dynamic Blog Networks
Therapist Scheduling	Hospital-wide Physical Therapy Scheduling and Therapist Routing
Time dependent networks	Continuous and Discrete Time Label Setting Algorithms for the Time Dependent Bi-criteria Shortest Path Problem
Top-K	Algorithms for Top-K Scheduling Queries Based on Partial Search Space for Discrete Decision Variables Based in Enumeration Heuristics
topology	Topological Data Analysis of Text
Total tardiness	Assembly Flowshop Scheduling Problem with Total Tardiness Performance Measure
total unimodularity	Robust optimization with multiple ranges: theory and application to pharmaceutical project selection
Trailer	A Heuristic Approach for the Swap-Body Vehicle Routing Problem
Train	A Heuristic Approach for the Swap-Body Vehicle Routing Problem
Tree partition problem	Integer Programming Approach for Tree Partitioning into Subtrees
Truck	A Heuristic Approach for the Swap-Body Vehicle Routing Problem
Two dimensional load balancing	Two dimensional load balancing
two stage stochastic linear programming	Solving two-stage stochastic linear programming with stochastic decomposition (SD)
Two-stage integer programming	The Dynamic and Stochastic Container Loading Problem
Two-stage stochastic integer programs	Strengthened Benders Cuts for Stochastic Integer Programs with Continuous Recourse
Two-stage stochastic program	A computational study of a Benders algorithm for solving two-stage stochastic mixed-integer linear programs
Two-stage stochastic programming	Decomposition Algorithms for Two-Stage Chance-Constrained Stochastic Programs
Type 2 diabetes	Assessing the Effect of Lipid Profile on Quality of Life: An Inverse MILP Approach
U
uncertainty	Robust Power System Scheduling with Hydro Resources
Unit Commitment	Solving Discrete Optimization Problems in the Electrical Grid: New Parallel Algorithms Robust Power System Scheduling with Hydro Resources Optimization Under Uncertainty and Unit Commitment with Renewable Energy Integration Stochastic Unit Commitment At Scale Strengthened MILP Formulation for Certain Gas Turbine Unit Commitment Data-Driven Stochastic Self-Scheduling for the Combined-Cycle Units
unmanned aerial vehicles	An Approximate Dynamic Programming Algorithm for the Military Inventory Routing Problem with Direct Delivery
V
valid inequalities	RLT-POS: Reformulation-Linearization Technique-based Optimization Software for Solving Polynomial Programming Problems New Formulation and Valid Inequalities for the DC Transmission Switching Problem New Formulation and Valid Inequalities for the Optimal Power Flow Problem
valid inequalities for conic optimization	COLA and DietCOLA: An Open Source Framework for Solution of Mixed Integer Second Order Cone Optimization (MISOCO) Problems
Value Function	Computational Experience with a Generalized Benders Approach to Solving Two-stage Stochastic Programs with Mixed Integer Recourse
Value Function Approximation	Value Function Approximation For Multi-Period Routing Problems
value of information	Optimal learning in regression with combinatorial feature selection
value-at-risk (VaR)	Loss-Constrained Minimum Cost Flow under Arc Failure Uncertainty with Applications in Risk-Aware Kidney Exchange
Variable Neighborhood Descent	A Heuristic Approach for the Swap-Body Vehicle Routing Problem
variational inequalities	A Game Theory Model for a Differentiated Service-Oriented Internet with Duration-Based Contracts
vehicle routing	Value Function Approximation For Multi-Period Routing Problems Green Vehicle Routing Problem with Time-varying Traffic Congestion
Vehicle Routing Problem	A Heuristic Approach for the Swap-Body Vehicle Routing Problem A branch-cut-and-price algorithm for the energy minimization vehicle routing problem
vertex connectivity	Diameter-Constrained Network Design Problems with Connectivity Requirements
Very Large-Scale Neighborhood Search	Very Large-Scale Neighborhood Search for Generalized Assignment Problems with Location/Allocation Considerations
VRP	A Heuristic Approach for the Swap-Body Vehicle Routing Problem
W
What-if analysis	Temporal Manufacturing Query Language (tMQL) for Domain Specific Composition, What-if Analysis, and Optimization of Manufacturing Processes With Inventories
Windy	A Two-Stage Partitioning Scheme for the Min-Max K Windy Rural Postman Problem
workforce planning	An Approximate Dynamic Programming Algorithm for United States Air Force Officer Sustainment
workload	Combinatorial Optimization for Workload Dispatching in High Performance Computing Centers
Worst case analysis	The worst case analysis of strong knapsack facets
ε
ε-neighborhood	Comparison of similarity graphs for spectral clustering algorithms

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