Informs Journal on Computing

Article	Citations
SDDP.jl: A Julia Package for Stochastic Dual Dynamic Programming	47
A Scalable Algorithm for Sparse Portfolio Selection	33
Picker Routing in AGV-Assisted Order Picking Systems	32
Computing Feasible Points of Bilevel Problems with a Penalty Alternating Direction Method	31
Online Mixed-Integer Optimization in Milliseconds	26
Integrated Backup Rolling Stock Allocation and Timetable Rescheduling with Uncertain Time-Variant Passenger Demand Under Disruptive Events	26
MathOptInterface: A Data Structure for Mathematical Optimization Problems	26
Novel Formulations and Logic-Based Benders Decomposition for the Integrated Parallel Machine Scheduling and Location Problem	25
Learning for Constrained Optimization: Identifying Optimal Active Constraint Sets	25
Approximate Dynamic Programming for Military Medical Evacuation Dispatching Policies	24
Scalable Vertiport Hub Location Selection for Air Taxi Operations in a Metropolitan Region	24
Distributionally Robust Optimization Under a Decision-Dependent Ambiguity Set with Applications to Machine Scheduling and Humanitarian Logistics	23
Mixed-Integer Convex Nonlinear Optimization with Gradient-Boosted Trees Embedded	22
Enumeration of the Nondominated Set of Multiobjective Discrete Optimization Problems	22
Combinatorial Benders Decomposition for the Two-Dimensional Bin Packing Problem	19
Learning-Based Branch-and-Price Algorithms for the Vehicle Routing Problem with Time Windows and Two-Dimensional Loading Constraints	18
Data-Driven Optimization of Reward-Risk Ratio Measures	18
Ranking and Selection with Covariates for Personalized Decision Making	18
Robust Stochastic Facility Location: Sensitivity Analysis and Exact Solution	17
JANOS: An Integrated Predictive and Prescriptive Modeling Framework	17
Improving Sales Forecasting Accuracy: A Tensor Factorization Approach with Demand Awareness	17
Predicting Tactical Solutions to Operational Planning Problems Under Imperfect Information	16
Inductive Representation Learning on Dynamic Stock Co-Movement Graphs for Stock Predictions	15
Multistage Stochastic Power Generation Scheduling Co-Optimizing Energy and Ancillary Services	14
Team Orienteering with Time-Varying Profit	14

SOS-SDP: An Exact Solver for Minimum Sum-of-Squares Clustering	14
Optimized Scenario Reduction: Solving Large-Scale Stochastic Programs with Quality Guarantees	14
Approximation Methods for Multiobjective Optimization Problems: A Survey	13
A General Model and Efficient Algorithms for Reliable Facility Location Problem Under Uncertain Disruptions	13
Solving the Type-2 Assembly Line Balancing with Setups Using Logic-Based Benders Decomposition	13
A Branch-and-Price Algorithm for Facility Location with General Facility Cost Functions	13
Robust Optimization for Electricity Generation	13
Sparse Convex Regression	13
Alfonso: Matlab Package for Nonsymmetric Conic Optimization	13
A Review Selection Method for Finding an Informative Subset from Online Reviews	12
Solving Natural Conic Formulations with Hypatia.jl	12
Robust Models for the Kidney Exchange Problem	12
A Branch-and-Bound Algorithm for Building Optimal Data Gathering Tree in Wireless Sensor Networks	12
Speeding Up Paulson’s Procedure for Large-Scale Problems Using Parallel Computing	12
Mixed-Integer Programming vs. Constraint Programming for Shop Scheduling Problems: New Results and Outlook	12
Rapid Discrete Optimization via Simulation with Gaussian Markov Random Fields	12
Calibration of Voting-Based Helpfulness Measurement for Online Reviews: An Iterative Bayesian Probability Approach	12
Detecting Product Adoption Intentions via Multiview Deep Learning	12
Scalable Parallel Nonlinear Optimization with PyNumero and Parapint	12
Iterative Prediction-and-Optimization for E-Logistics Distribution Network Design	11
Multicomponent Maintenance Optimization: A Stochastic Programming Approach	11
Finite Difference Gradient Approximation: To Randomize or Not?	11
A Comparison of Two Mixed-Integer Linear Programs for Piecewise Linear Function Fitting	11
Computationally Efficient Approximations for Distributionally Robust Optimization Under Moment and Wasserstein Ambiguity	11
Dynamic Sampling Allocation Under Finite Simulation Budget for Feasibility Determination	11
Branch-and-Bound for Biobjective Mixed-Integer Linear Programming	11
Complexity Results and Effective Algorithms for Worst-Case Linear Optimization Under Uncertainties	10
Decomposition-Based Approaches for a Class of Two-Stage Robust Binary Optimization Problems	10
A Branch-and-Bound Algorithm for Team Formation on Social Networks	10
Globalized Distributionally Robust Counterpart	10
Efficient Sampling Allocation Procedures for Optimal Quantile Selection	10
Monte Carlo and Quasi–Monte Carlo Density Estimation via Conditioning	10
The Value of Randomized Solutions in Mixed-Integer Distributionally Robust Optimization Problems	10
Stochastic Planning and Scheduling with Logic-Based Benders Decomposition	10
MAD Dispersion Measure Makes Extremal Queue Analysis Simple	10
Linearized Robust Counterparts of Two-Stage Robust Optimization Problems with Applications in Operations Management	10
RSOME in Python: An Open-Source Package for Robust Stochastic Optimization Made Easy	9
Exact Algorithms for the Minimum Load Spanning Tree Problem	9
Decomposition and Adaptive Sampling for Data-Driven Inverse Linear Optimization	9
An Ensemble Learning Approach with Gradient Resampling for Class-Imbalance Problems	9
Solving the Distance-Based Critical Node Problem	9
Analyzing Firm Reports for Volatility Prediction: A Knowledge-Driven Text-Embedding Approach	9
Fine-Grained Job Salary Benchmarking with a Nonparametric Dirichlet Process–Based Latent Factor Model	9
Optimising Electric Vehicle Charging Station Placement Using Advanced Discrete Choice Models	9
Inverse Mixed Integer Optimization: Polyhedral Insights and Trust Region Methods	9
A Machine Learning–Enabled Partially Observable Markov Decision Process Framework for Early Sepsis Prediction	9
A Multilevel Simulation Optimization Approach for Quantile Functions	9
On Cluster-Aware Supervised Learning: Frameworks, Convergent Algorithms, and Applications	8
Cost-Effective Social Media Influencer Marketing	8
Disjoint Bilinear Optimization: A Two-Stage Robust Optimization Perspective	8

Statistical Tests for Cross-Validation of Kriging Models	8
The Star Degree Centrality Problem: A Decomposition Approach	8
Estimating the Size of Branch-and-Bound Trees	8
Exploiting the Structure of Two-Stage Robust Optimization Models with Exponential Scenarios	8
Recourse in Kidney Exchange Programs	8
An Interior-Point Differentiable Path-Following Method to Compute Stationary Equilibria in Stochastic Games	8
Stochastic Dual Dynamic Programming for Multiechelon Lot Sizing with Component Substitution	8
An Improved Integer L-Shaped Method for the Vehicle Routing Problem with Stochastic Demands	8
frvcpy: An Open-Source Solver for the Fixed Route Vehicle Charging Problem	8
Posterior-Based Stopping Rules for Bayesian Ranking-and-Selection Procedures	7
3-D Dynamic UAV Base Station Location Problem	7
Dynamic Programming for the Time-Dependent Traveling Salesman Problem with Time Windows	7
Multiproduct Newsvendor Problem with Customer-Driven Demand Substitution: A Stochastic Integer Program Perspective	7
A Splicing Approach to Best Subset of Groups Selection	7
An Efficient Label-Correcting Algorithm for the Multiobjective Shortest Path Problem	7
Decision Diagrams for Discrete Optimization: A Survey of Recent Advances	7
A Stochastic Approximation Method for Simulation-Based Quantile Optimization	7
Dynamic Discretization Discovery Algorithms for Time-Dependent Shortest Path Problems	7
Surgery Sequencing Coordination with Recovery Resource Constraints	7
Decomposition Strategies for Vehicle Routing Heuristics	7
Causal Rule Sets for Identifying Subgroups with Enhanced Treatment Effects	7
VeRoViz: A Vehicle Routing Visualization Toolkit	6
Solving Large-Scale Fixed-Budget Ranking and Selection Problems	6
An Augmented Lagrangian Decomposition Method for Chance-Constrained Optimization Problems	6
The Zero Regrets Algorithm: Optimizing over Pure Nash Equilibria via Integer Programming	6
Improving Variable Orderings of Approximate Decision Diagrams Using Reinforcement Learning	6
Time-Dependent Shortest Path Problems with Penalties and Limits on Waiting	6
Radius of Robust Feasibility for Mixed-Integer Problems	6
Stochastic Decomposition for Two-Stage Stochastic Linear Programs with Random Cost Coefficients	6
Combining Polyhedral Approaches and Stochastic Dual Dynamic Integer Programming for Solving the Uncapacitated Lot-Sizing Problem Under Uncertainty	6
Branch-Cut-and-Price for the Time-Dependent Green Vehicle Routing Problem with Time Windows	6
Robust Team Orienteering Problem with Decreasing Profits	6
Robust Direct Aperture Optimization for Radiation Therapy Treatment Planning	6
Integrated Multiresource Capacity Planning and Multitype Patient Scheduling	6
Parallel Machine Scheduling Under Uncertainty: Models and Exact Algorithms	6
Efficient Stochastic Programming in Julia	6
Benders Subproblem Decomposition for Bilevel Problems with Convex Follower	6
Integrating Individual and Aggregate Diversity in Top-N Recommendation	6
Diagnostic Tools for Evaluating and Comparing Simulation-Optimization Algorithms	6
Knowledge Learning of Insurance Risks Using Dependence Models	6
Improved Computational Approaches and Heuristics for Zero Forcing	5
Improving Reliability Estimation for Individual Numeric Predictions: A Machine Learning Approach	5
Machine Learning Methods for Data-Driven Demand Estimation and Assortment Planning Considering Cross-Selling and Substitutions	5
Exact Branch-Price-and-Cut for a Hospital Therapist Scheduling Problem with Flexible Service Locations and Time-Dependent Location Capacity	5
Asymptotically Optimal Sampling Policy for Selecting Top-m Alternatives	5
Robust Minimum-Cost Flow Problems Under Multiple Ripple Effect Disruptions	5
Predictive Search for Capacitated Multi-Item Lot Sizing Problems	5
Practical Nonparametric Sampling Strategies for Quantile-Based Ordinal Optimization	5
ExpertRNA: A New Framework for RNA Secondary Structure Prediction	5
Large-Scale Inventory Optimization: A Recurrent Neural Networks–Inspired Simulation Approach	5
Policy Optimization in Dynamic Bayesian Network Hybrid Models of Biomanufacturing Processes	5
On Generating Lagrangian Cuts for Two-Stage Stochastic Integer Programs	5
On the Estimation of Discrete Choice Models to Capture Irrational Customer Behaviors	5
Risk-Averse Stochastic Programming vs. Adaptive Robust Optimization: A Virtual Power Plant Application	5
Detecting Critical Nodes in Sparse Graphs via “Reduce-Solve-Combine” Memetic Search	5
Exactly Solving Hard Permutation Flowshop Scheduling Problems on Peta-Scale GPU-Accelerated Supercomputers	5
Robust Optimization for Models with Uncertain Second-Order Cone and Semidefinite Programming Constraints	5
Uncovering Characteristic Response Paths of a Population	5
Piecewise Constant Decision Rules via Branch-and-Bound Based Scenario Detection for Integer Adjustable Robust Optimization	5
Optimal Screening of Populations with Heterogeneous Risk Profiles Under the Availability of Multiple Tests	5
Improving Column Generation for Vehicle Routing Problems via Random Coloring and Parallelization	5
Solving AC Optimal Power Flow with Discrete Decisions to Global Optimality	5
Convexification of Queueing Formulas by Mixed-Integer Second-Order Cone Programming: An Application to a Discrete Location Problem with Congestion	5
Modeling Contingent Decision Behavior: A Bayesian Nonparametric Preference-Learning Approach	5
SimOpt: A Testbed for Simulation-Optimization Experiments	5
Worst-Case Expected Shortfall with Univariate and Bivariate Marginals	5
An Alternating Method for Cardinality-Constrained Optimization: A Computational Study for the Best Subset Selection and Sparse Portfolio Problems	5
Efficient Solution Methods for a General r-Interdiction Median Problem with Fortification	5
Modeling Single-Picker Routing Problems in Classical and Modern Warehouses	5
Network Models for Multiobjective Discrete Optimization	5
An Analytic Center Cutting Plane Method to Determine Complete Positivity of a Matrix	5
Optimization Strategies for Resource-Constrained Project Scheduling Problems in Underground Mining	5
An Image-Based Approach to Detecting Structural Similarity Among Mixed Integer Programs	4
Exact and Approximation Algorithms for the Expanding Search Problem	4
ROC++: Robust Optimization in C++	4
Influence Maximization with Latency Requirements on Social Networks	4
Provably Good Solutions to the Knapsack Problem via Neural Networks of Bounded Size	4
Adaptive Bundle Methods for Nonlinear Robust Optimization	4
On Computing with Some Convex Relaxations for the Maximum-Entropy Sampling Problem	4
A Progressive Approximation Approach for the Exact Solution of Sparse Large-Scale Binary Interdiction Games	4

A New Scenario Reduction Method Based on Higher-Order Moments	4
An LSTM+ Model for Managing Epidemics: Using Population Mobility and Vulnerability for Forecasting COVID-19 Hospital Admissions	4
On the Exact Solution of Prize-Collecting Steiner Tree Problems	4
A Simulation Optimization Approach for the Appointment Scheduling Problem with Decision-Dependent Uncertainties	4
Control of Dual-Sourcing Inventory Systems Using Recurrent Neural Networks	4
Reducing and Calibrating for Input Model Bias in Computer Simulation	4
Combinatorial Heuristics for Inventory Routing Problems	4
Distributionally Robust Chance-Constrained p-Hub Center Problem	4
Exact Approaches for Single Machine Total Weighted Tardiness Batch Scheduling	4
Fast Continuous and Integer L-Shaped Heuristics Through Supervised Learning	4
Logic-Based Benders Decomposition and Binary Decision Diagram Based Approaches for Stochastic Distributed Operating Room Scheduling	4
The Maximum k-Colorable Subgraph Problem and Related Problems	4
Chance-Constrained Multiple Bin Packing Problem with an Application to Operating Room Planning	4
Routing Replenishment Workers: The Prize Collecting Traveling Salesman Problem in Scattered Storage Warehouses	4
Bin Packing Problem with Time Lags	4
Machine Learning–Supported Prediction of Dual Variables for the Cutting Stock Problem with an Application in Stabilized Column Generation	4
Optimal Power Flow in Distribution Networks Under N – 1 Disruptions: A Multistage Stochastic Programming Approach	4
Min-Sup-Min Robust Combinatorial Optimization with Few Recourse Solutions	4
Decision Diagram Decomposition for Quadratically Constrained Binary Optimization	4
Multivariable Branching: A 0-1 Knapsack Problem Case Study	4
Partial Dominance in Branch-Price-and-Cut for the Basic Multicompartment Vehicle-Routing Problem	4
SHEDR: An End-to-End Deep Neural Event Detection and Recommendation Framework for Hyperlocal News Using Social Media	4
bsnsing: A Decision Tree Induction Method Based on Recursive Optimal Boolean Rule Composition	4
A Scalable Lower Bound for the Worst-Case Relay Attack Problem on the Transmission Grid	4
A Restricted Dual Peaceman-Rachford Splitting Method for a Strengthened DNN Relaxation for QAP	4