Informs Journal on Computing

Papers
(The median citation count of Informs Journal on Computing is 1. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-07-01 to 2024-07-01.)
ArticleCitations
Learning to Solve Large-Scale Security-Constrained Unit Commitment Problems51
SDDP.jl: A Julia Package for Stochastic Dual Dynamic Programming44
Assortment Optimization Under the Multinomial Logit Model with Sequential Offerings41
A Scalable Algorithm for Sparse Portfolio Selection29
Computing Feasible Points of Bilevel Problems with a Penalty Alternating Direction Method27
Picker Routing in AGV-Assisted Order Picking Systems27
Online Mixed-Integer Optimization in Milliseconds24
Novel Formulations and Logic-Based Benders Decomposition for the Integrated Parallel Machine Scheduling and Location Problem23
Approximate Dynamic Programming for Military Medical Evacuation Dispatching Policies23
Scalable Vertiport Hub Location Selection for Air Taxi Operations in a Metropolitan Region23
MathOptInterface: A Data Structure for Mathematical Optimization Problems23
Learning for Constrained Optimization: Identifying Optimal Active Constraint Sets22
Robust Optimization of a Broad Class of Heterogeneous Vehicle Routing Problems Under Demand Uncertainty22
Integrated Backup Rolling Stock Allocation and Timetable Rescheduling with Uncertain Time-Variant Passenger Demand Under Disruptive Events21
On the Derivation of Continuous Piecewise Linear Approximating Functions21
Branch and Price for Chance-Constrained Bin Packing19
Mixed-Integer Convex Nonlinear Optimization with Gradient-Boosted Trees Embedded19
Distributionally Robust Optimization Under a Decision-Dependent Ambiguity Set with Applications to Machine Scheduling and Humanitarian Logistics18
Combinatorial Benders Decomposition for the Two-Dimensional Bin Packing Problem18
Data-Driven Optimization of Reward-Risk Ratio Measures18
Enumeration of the Nondominated Set of Multiobjective Discrete Optimization Problems18
Ranking and Selection with Covariates for Personalized Decision Making17
Predicting Tactical Solutions to Operational Planning Problems Under Imperfect Information16
Learning-Based Branch-and-Price Algorithms for the Vehicle Routing Problem with Time Windows and Two-Dimensional Loading Constraints16
A Branch-Price-and-Cut Procedure for the Discrete Ordered Median Problem15
Robust Stochastic Facility Location: Sensitivity Analysis and Exact Solution15
Improving Sales Forecasting Accuracy: A Tensor Factorization Approach with Demand Awareness15
Distributionally Robust Design for Redundancy Allocation14
Approximation Methods for Multiobjective Optimization Problems: A Survey14
Optimized Scenario Reduction: Solving Large-Scale Stochastic Programs with Quality Guarantees14
A Branch-and-Price Algorithm for Facility Location with General Facility Cost Functions13
Solving the Type-2 Assembly Line Balancing with Setups Using Logic-Based Benders Decomposition13
Multistage Stochastic Power Generation Scheduling Co-Optimizing Energy and Ancillary Services13
A General Model and Efficient Algorithms for Reliable Facility Location Problem Under Uncertain Disruptions13
JANOS: An Integrated Predictive and Prescriptive Modeling Framework13
Solving Natural Conic Formulations with Hypatia.jl12
Alfonso: Matlab Package for Nonsymmetric Conic Optimization12
A Branch-and-Bound Algorithm for Building Optimal Data Gathering Tree in Wireless Sensor Networks12
Sparse Convex Regression12
Robust Optimization for Electricity Generation12
Rapid Discrete Optimization via Simulation with Gaussian Markov Random Fields12
SOS-SDP: An Exact Solver for Minimum Sum-of-Squares Clustering11
Team Orienteering with Time-Varying Profit11
Robust Models for the Kidney Exchange Problem11
Multicomponent Maintenance Optimization: A Stochastic Programming Approach11
Detecting Product Adoption Intentions via Multiview Deep Learning11
Inductive Representation Learning on Dynamic Stock Co-Movement Graphs for Stock Predictions11
A Review Selection Method for Finding an Informative Subset from Online Reviews11
A Comparison of Two Mixed-Integer Linear Programs for Piecewise Linear Function Fitting11
Efficient Sampling Allocation Procedures for Optimal Quantile Selection10
The Value of Randomized Solutions in Mixed-Integer Distributionally Robust Optimization Problems10
Calibration of Voting-Based Helpfulness Measurement for Online Reviews: An Iterative Bayesian Probability Approach10
Data-Driven Preference Learning Methods for Value-Driven Multiple Criteria Sorting with Interacting Criteria10
Complexity Results and Effective Algorithms for Worst-Case Linear Optimization Under Uncertainties10
Computationally Efficient Approximations for Distributionally Robust Optimization Under Moment and Wasserstein Ambiguity10
Stochastic Planning and Scheduling with Logic-Based Benders Decomposition9
MAD Dispersion Measure Makes Extremal Queue Analysis Simple9
Branch-and-Bound for Biobjective Mixed-Integer Linear Programming9
Dynamic Sampling Allocation Under Finite Simulation Budget for Feasibility Determination9
Learning to Correlate Accounts Across Online Social Networks: An Embedding-Based Approach9
Finite Difference Gradient Approximation: To Randomize or Not?9
Exact Algorithms for the Minimum Load Spanning Tree Problem9
Speeding Up Paulson’s Procedure for Large-Scale Problems Using Parallel Computing9
Solving the Distance-Based Critical Node Problem8
Inverse Mixed Integer Optimization: Polyhedral Insights and Trust Region Methods8
Monte Carlo and Quasi–Monte Carlo Density Estimation via Conditioning8
Mixed-Integer Programming vs. Constraint Programming for Shop Scheduling Problems: New Results and Outlook8
Exploiting the Structure of Two-Stage Robust Optimization Models with Exponential Scenarios8
Decomposition-Based Approaches for a Class of Two-Stage Robust Binary Optimization Problems8
Linearized Robust Counterparts of Two-Stage Robust Optimization Problems with Applications in Operations Management8
A Branch-and-Bound Algorithm for Team Formation on Social Networks8
Disjoint Bilinear Optimization: A Two-Stage Robust Optimization Perspective8
Convex Relaxations for Quadratic On/Off Constraints and Applications to Optimal Transmission Switching8
Iterative Prediction-and-Optimization for E-Logistics Distribution Network Design8
Analyzing Firm Reports for Volatility Prediction: A Knowledge-Driven Text-Embedding Approach7
Multiproduct Newsvendor Problem with Customer-Driven Demand Substitution: A Stochastic Integer Program Perspective7
The Star Degree Centrality Problem: A Decomposition Approach7
Differentially Private Distributed Learning7
frvcpy: An Open-Source Solver for the Fixed Route Vehicle Charging Problem7
Decomposition and Adaptive Sampling for Data-Driven Inverse Linear Optimization7
A Multilevel Simulation Optimization Approach for Quantile Functions7
Statistical Tests for Cross-Validation of Kriging Models7
A Machine Learning–Enabled Partially Observable Markov Decision Process Framework for Early Sepsis Prediction7
Supervised t-Distributed Stochastic Neighbor Embedding for Data Visualization and Classification7
An Efficient Label-Correcting Algorithm for the Multiobjective Shortest Path Problem7
Optimization-Driven Scenario Grouping6
Scalable Parallel Nonlinear Optimization with PyNumero and Parapint6
3-D Dynamic UAV Base Station Location Problem6
RSOME in Python: An Open-Source Package for Robust Stochastic Optimization Made Easy6
Benders Subproblem Decomposition for Bilevel Problems with Convex Follower6
Recourse in Kidney Exchange Programs6
Domination Measure: A New Metric for Solving Multiobjective Optimization6
A Splicing Approach to Best Subset of Groups Selection6
Robust Direct Aperture Optimization for Radiation Therapy Treatment Planning6
Stochastic Dual Dynamic Programming for Multiechelon Lot Sizing with Component Substitution6
Time-Dependent Shortest Path Problems with Penalties and Limits on Waiting6
Optimising Electric Vehicle Charging Station Placement Using Advanced Discrete Choice Models6
Decision Diagrams for Discrete Optimization: A Survey of Recent Advances6
Decomposition Strategies for Vehicle Routing Heuristics6
Integrating Individual and Aggregate Diversity in Top-N Recommendation6
A Stochastic Approximation Method for Simulation-Based Quantile Optimization6
Knowledge Learning of Insurance Risks Using Dependence Models6
Estimating the Size of Branch-and-Bound Trees6
Globalized Distributionally Robust Counterpart6
VeRoViz: A Vehicle Routing Visualization Toolkit6
Dynamic Programming for the Time-Dependent Traveling Salesman Problem with Time Windows6
An Interior-Point Differentiable Path-Following Method to Compute Stationary Equilibria in Stochastic Games6
The Zero Regrets Algorithm: Optimizing over Pure Nash Equilibria via Integer Programming6
Branch-Cut-and-Price for the Time-Dependent Green Vehicle Routing Problem with Time Windows5
Causal Rule Sets for Identifying Subgroups with Enhanced Treatment Effects5
On Cluster-Aware Supervised Learning: Frameworks, Convergent Algorithms, and Applications5
Improving Column Generation for Vehicle Routing Problems via Random Coloring and Parallelization5
Solving AC Optimal Power Flow with Discrete Decisions to Global Optimality5
Convexification of Queueing Formulas by Mixed-Integer Second-Order Cone Programming: An Application to a Discrete Location Problem with Congestion5
Combining Polyhedral Approaches and Stochastic Dual Dynamic Integer Programming for Solving the Uncapacitated Lot-Sizing Problem Under Uncertainty5
Radius of Robust Feasibility for Mixed-Integer Problems5
Exact Branch-Price-and-Cut for a Hospital Therapist Scheduling Problem with Flexible Service Locations and Time-Dependent Location Capacity5
An Alternating Method for Cardinality-Constrained Optimization: A Computational Study for the Best Subset Selection and Sparse Portfolio Problems5
Uncovering Characteristic Response Paths of a Population5
Piecewise Constant Decision Rules via Branch-and-Bound Based Scenario Detection for Integer Adjustable Robust Optimization5
An Analytic Center Cutting Plane Method to Determine Complete Positivity of a Matrix5
On Generating Lagrangian Cuts for Two-Stage Stochastic Integer Programs5
A Multistage Stochastic Programming Approach to the Optimal Surveillance and Control of the Emerald Ash Borer in Cities5
Cost-Effective Social Media Influencer Marketing5
Stochastic Decomposition for Two-Stage Stochastic Linear Programs with Random Cost Coefficients5
Solving Large-Scale Fixed-Budget Ranking and Selection Problems5
Worst-Case Expected Shortfall with Univariate and Bivariate Marginals5
Robust Minimum-Cost Flow Problems Under Multiple Ripple Effect Disruptions5
Diagnostic Tools for Evaluating and Comparing Simulation-Optimization Algorithms5
ExpertRNA: A New Framework for RNA Secondary Structure Prediction5
Posterior-Based Stopping Rules for Bayesian Ranking-and-Selection Procedures5
Integrated Multiresource Capacity Planning and Multitype Patient Scheduling5
Improved Computational Approaches and Heuristics for Zero Forcing5
Surgery Sequencing Coordination with Recovery Resource Constraints5
Efficient Stochastic Programming in Julia5
Parallel Machine Scheduling Under Uncertainty: Models and Exact Algorithms5
Exactly Solving Hard Permutation Flowshop Scheduling Problems on Peta-Scale GPU-Accelerated Supercomputers5
A Scalable Lower Bound for the Worst-Case Relay Attack Problem on the Transmission Grid4
Modeling Single-Picker Routing Problems in Classical and Modern Warehouses4
Modeling Contingent Decision Behavior: A Bayesian Nonparametric Preference-Learning Approach4
Computing Sensitivities for Distortion Risk Measures4
A New Scatter Search Design for Multiobjective Combinatorial Optimization with an Application to Facility Location4
Optimization Strategies for Resource-Constrained Project Scheduling Problems in Underground Mining4
Improving Variable Orderings of Approximate Decision Diagrams Using Reinforcement Learning4
Bin Packing Problem with Time Lags4
Risk-Averse Stochastic Programming vs. Adaptive Robust Optimization: A Virtual Power Plant Application4
Exact and Approximation Algorithms for the Expanding Search Problem4
ROC++: Robust Optimization in C++4
Influence Maximization with Latency Requirements on Social Networks4
Exact Approaches for Single Machine Total Weighted Tardiness Batch Scheduling4
An Augmented Lagrangian Decomposition Method for Chance-Constrained Optimization Problems4
Chance-Constrained Multiple Bin Packing Problem with an Application to Operating Room Planning4
Decision Diagram Decomposition for Quadratically Constrained Binary Optimization4
On the Exact Solution of Prize-Collecting Steiner Tree Problems4
Practical Nonparametric Sampling Strategies for Quantile-Based Ordinal Optimization4
A New Scenario Reduction Method Based on Higher-Order Moments4
Logic-Based Benders Decomposition and Binary Decision Diagram Based Approaches for Stochastic Distributed Operating Room Scheduling4
Optimal Screening of Populations with Heterogeneous Risk Profiles Under the Availability of Multiple Tests4
Fine-Grained Job Salary Benchmarking with a Nonparametric Dirichlet Process–Based Latent Factor Model4
Dynamic Discretization Discovery Algorithms for Time-Dependent Shortest Path Problems4
Transient-State Natural Gas Transmission in Gunbarrel Pipeline Networks4
Improving Reliability Estimation for Individual Numeric Predictions: A Machine Learning Approach4
A Lagrangian Bound on the Clique Number and an Exact Algorithm for the Maximum Edge Weight Clique Problem4
Policy Optimization in Dynamic Bayesian Network Hybrid Models of Biomanufacturing Processes4
Conflict-Driven Heuristics for Mixed Integer Programming4
SimOpt: A Testbed for Simulation-Optimization Experiments4
Provably Good Solutions to the Knapsack Problem via Neural Networks of Bounded Size4
Robust Optimization for Models with Uncertain Second-Order Cone and Semidefinite Programming Constraints4
On the Estimation of Discrete Choice Models to Capture Irrational Customer Behaviors4
On Computing with Some Convex Relaxations for the Maximum-Entropy Sampling Problem4
Reducing and Calibrating for Input Model Bias in Computer Simulation4
The Maximum k-Colorable Subgraph Problem and Related Problems4
Network Models for Multiobjective Discrete Optimization4
An LSTM+ Model for Managing Epidemics: Using Population Mobility and Vulnerability for Forecasting COVID-19 Hospital Admissions4
bsnsing: A Decision Tree Induction Method Based on Recursive Optimal Boolean Rule Composition4
An Ensemble Learning Approach with Gradient Resampling for Class-Imbalance Problems4
MILP Models for Complex System Reliability Redundancy Allocation with Mixed Components4
A Simulation Optimization Approach for the Appointment Scheduling Problem with Decision-Dependent Uncertainties4
Distributionally Robust Chance-Constrained p-Hub Center Problem4
Detecting Critical Nodes in Sparse Graphs via “Reduce-Solve-Combine” Memetic Search4
Predictive Search for Capacitated Multi-Item Lot Sizing Problems4
Adaptive Bundle Methods for Nonlinear Robust Optimization4
An Improved Integer L-Shaped Method for the Vehicle Routing Problem with Stochastic Demands4
Multivariable Branching: A 0-1 Knapsack Problem Case Study4
Combinatorial Heuristics for Inventory Routing Problems3
A High-Fidelity Model to Predict Length of Stay in the Neonatal Intensive Care Unit3
Min-Sup-Min Robust Combinatorial Optimization with Few Recourse Solutions3
Rapid Influence Maximization on Social Networks: The Positive Influence Dominating Set Problem3
Robust Team Orienteering Problem with Decreasing Profits3
SHEDR: An End-to-End Deep Neural Event Detection and Recommendation Framework for Hyperlocal News Using Social Media3
Routing Replenishment Workers: The Prize Collecting Traveling Salesman Problem in Scattered Storage Warehouses3
Machine Learning–Supported Prediction of Dual Variables for the Cutting Stock Problem with an Application in Stabilized Column Generation3
A Mixed-Integer Fractional Optimization Approach to Best Subset Selection3
Machine Learning Methods for Data-Driven Demand Estimation and Assortment Planning Considering Cross-Selling and Substitutions3
Robust Adaptive Submodular Maximization3
Hub Location with Protection Under Interhub Link Failures3
Optimization for L1-Norm Error Fitting via Data Aggregation3
Efficient Solution Methods for a General r-Interdiction Median Problem with Fortification3
A Progressive Approximation Approach for the Exact Solution of Sparse Large-Scale Binary Interdiction Games3
Perturbation-Based Thresholding Search for Packing Equal Circles and Spheres3
A Computational Approach to First Passage Problems of Reflected Hyperexponential Jump Diffusion Processes3
A Restricted Dual Peaceman-Rachford Splitting Method for a Strengthened DNN Relaxation for QAP3
A New Likelihood Ratio Method for Training Artificial Neural Networks3
L0-Regularized Learning for High-Dimensional Additive Hazards Regression3
Integer Programming Formulations for Minimum Spanning Tree Interdiction3
Optimal Power Flow in Distribution Networks Under N – 1 Disruptions: A Multistage Stochastic Programming Approach3
Fast Continuous and Integer L-Shaped Heuristics Through Supervised Learning3
The Quadratic Multiknapsack Problem with Conflicts and Balance Constraints3
Optimization-based Mechanisms for the Course Allocation Problem3
TGVx: Dynamic Personalized POI Deep Recommendation Model3
Large-Scale Inventory Optimization: A Recurrent Neural Networks–Inspired Simulation Approach3
An Image-Based Approach to Detecting Structural Similarity Among Mixed Integer Programs3
Asymptotically Optimal Sampling Policy for Selecting Top-m Alternatives2
Building Load Control Using Distributionally Robust Chance-Constrained Programs with Right-Hand Side Uncertainty and the Risk-Adjustable Variants2
Algorithms for Queueing Systems with Reneging and Priorities Modeled as Quasi-Birth-Death Processes2
On a Reduction for a Class of Resource Allocation Problems2
Extending the Scope of Robust Quadratic Optimization2
Optimizing over an Ensemble of Trained Neural Networks2
A Catalog of Formulations for the Network Pricing Problem2
Group Equality in Adaptive Submodular Maximization2
Convex Maximization via Adjustable Robust Optimization2
Finding Feasible Systems for Subjective Constraints Using Recycled Observations2
Breaking thermaxBarrier: Enhanced Approximation Algorithms for Partial Set Multicover Problem2
An Iterated Dual Substitution Approach for Binary Integer Programming Problems Under the Min-Max Regret Criterion2
Optimizing the Expected Maximum of Two Linear Functions Defined on a Multivariate Gaussian Distribution2
Tagging Items Automatically Based on Both Content Information and Browsing Behaviors2
Play Like the Pros? Solving the Game of Darts as a Dynamic Zero-Sum Game2
Target-Oriented Distributionally Robust Optimization and Its Applications to Surgery Allocation2
On the Solution of 0-Constrained Sparse Inverse Covariance Estimation Problems2
Logic-Based Benders Decomposition for Integrated Process Configuration and Production Planning Problems2
Network Design with Service Requirements: Scaling-up the Size of Solvable Problems2
A Branch-and-Cut Algorithm for Submodular Interdiction Games2
The Rank-One Quadratic Assignment Problem2
Decomposing Loosely Coupled Mixed-Integer Programs for Optimal Microgrid Design2
An Interior Point–Inspired Algorithm for Linear Programs Arising in Discrete Optimal Transport2
Reducing Simulation Input-Model Risk via Input Model Averaging2
Parameterized Algorithms for Power-Efficiently Connecting Wireless Sensor Networks: Theory and Experiments2
Perspective Reformulations of Semicontinuous Quadratically Constrained Quadratic Programs2
Gradient-Based Simulation Optimization Algorithms via Multi-Resolution System Approximations2
Min-Max Optimal Design of Two-Armed Trials with Side Information2
An Adaptive Heuristic Approach to Compute Upper and Lower Bounds for The Close-Enough Traveling Salesman Problem2
Learning Equilibria in Asymmetric Auction Games2
An Improved Branch-and-Bound Algorithm for the One-Machine Scheduling Problem with Delayed Precedence Constraints2
Bilinear Assignment Problem: Large Neighborhoods and Experimental Analysis of Algorithms2
Integrated Stochastic Optimal Self-Scheduling for Two-Settlement Electricity Markets2
Variable Bound Tightening and Valid Constraints for Multiperiod Blending2
Polyhedral Results and Branch-and-Cut for the Resource Loading Problem2
Exact Solution Algorithms for the Chordless Cycle Problem2
Finding Regions of Counterfactual Explanations via Robust Optimization2
Convergence Analysis of Stochastic Kriging-Assisted Simulation with Random Covariates2
0.062337160110474