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 2020-02-01 to 2024-02-01.)
ArticleCitations
The Mothership and Drone Routing Problem58
Presolve Reductions in Mixed Integer Programming49
Learning to Solve Large-Scale Security-Constrained Unit Commitment Problems39
Assortment Optimization Under the Multinomial Logit Model with Sequential Offerings36
A New Branch-and-Price-and-Cut Algorithm for One-Dimensional Bin-Packing Problems36
SDDP.jl: A Julia Package for Stochastic Dual Dynamic Programming35
On Mixed-Integer Programming Formulations for the Unit Commitment Problem28
Piecewise Linear Function Fitting via Mixed-Integer Linear Programming27
A Scalable Algorithm for Sparse Portfolio Selection25
Approximate Dynamic Programming for Military Medical Evacuation Dispatching Policies22
Computing Feasible Points of Bilevel Problems with a Penalty Alternating Direction Method22
On the Derivation of Continuous Piecewise Linear Approximating Functions21
MathOptInterface: A Data Structure for Mathematical Optimization Problems20
Picker Routing in AGV-Assisted Order Picking Systems20
Robust Optimization of a Broad Class of Heterogeneous Vehicle Routing Problems Under Demand Uncertainty19
Branch and Price for Chance-Constrained Bin Packing18
Ranking and Selection with Covariates for Personalized Decision Making17
Online Mixed-Integer Optimization in Milliseconds17
Data-Driven Optimization of Reward-Risk Ratio Measures16
Learning for Constrained Optimization: Identifying Optimal Active Constraint Sets16
Novel Formulations and Logic-Based Benders Decomposition for the Integrated Parallel Machine Scheduling and Location Problem15
Enumeration of the Nondominated Set of Multiobjective Discrete Optimization Problems15
Mixed-Integer Convex Nonlinear Optimization with Gradient-Boosted Trees Embedded15
Distributionally Robust Design for Redundancy Allocation14
Predicting Tactical Solutions to Operational Planning Problems Under Imperfect Information13
A Branch-and-Price Algorithm for Facility Location with General Facility Cost Functions13
Learning-Based Branch-and-Price Algorithms for the Vehicle Routing Problem with Time Windows and Two-Dimensional Loading Constraints12
Distributionally Robust Optimization Under a Decision-Dependent Ambiguity Set with Applications to Machine Scheduling and Humanitarian Logistics12
Solving the Type-2 Assembly Line Balancing with Setups Using Logic-Based Benders Decomposition12
Scalable Vertiport Hub Location Selection for Air Taxi Operations in a Metropolitan Region11
Integrated Backup Rolling Stock Allocation and Timetable Rescheduling with Uncertain Time-Variant Passenger Demand Under Disruptive Events11
SOS-SDP: An Exact Solver for Minimum Sum-of-Squares Clustering11
A Branch-Price-and-Cut Procedure for the Discrete Ordered Median Problem11
Approximation Methods for Multiobjective Optimization Problems: A Survey11
Complexity Results and Effective Algorithms for Worst-Case Linear Optimization Under Uncertainties10
Robust Stochastic Facility Location: Sensitivity Analysis and Exact Solution10
A Comparison of Two Mixed-Integer Linear Programs for Piecewise Linear Function Fitting10
A Branch-and-Bound Algorithm for Building Optimal Data Gathering Tree in Wireless Sensor Networks10
JANOS: An Integrated Predictive and Prescriptive Modeling Framework10
Sparse Convex Regression10
Multistage Stochastic Power Generation Scheduling Co-Optimizing Energy and Ancillary Services10
A General Model and Efficient Algorithms for Reliable Facility Location Problem Under Uncertain Disruptions10
Robust Models for the Kidney Exchange Problem10
Combinatorial Benders Decomposition for the Two-Dimensional Bin Packing Problem9
Multicomponent Maintenance Optimization: A Stochastic Programming Approach9
Solving Natural Conic Formulations with Hypatia.jl9
Computationally Efficient Approximations for Distributionally Robust Optimization Under Moment and Wasserstein Ambiguity9
Robust Optimization for Electricity Generation9
A Review Selection Method for Finding an Informative Subset from Online Reviews9
Data-Driven Preference Learning Methods for Value-Driven Multiple Criteria Sorting with Interacting Criteria9
Rapid Discrete Optimization via Simulation with Gaussian Markov Random Fields9
Inductive Representation Learning on Dynamic Stock Co-Movement Graphs for Stock Predictions9
Improving Sales Forecasting Accuracy: A Tensor Factorization Approach with Demand Awareness9
The Value of Randomized Solutions in Mixed-Integer Distributionally Robust Optimization Problems9
Alfonso: Matlab Package for Nonsymmetric Conic Optimization9
Calibration of Voting-Based Helpfulness Measurement for Online Reviews: An Iterative Bayesian Probability Approach8
Disjoint Bilinear Optimization: A Two-Stage Robust Optimization Perspective8
Speeding Up Paulson’s Procedure for Large-Scale Problems Using Parallel Computing8
Efficient Sampling Allocation Procedures for Optimal Quantile Selection8
Learning to Correlate Accounts Across Online Social Networks: An Embedding-Based Approach8
Stochastic Dual Dynamic Programming for Multiechelon Lot Sizing with Component Substitution7
Dynamic Sampling Allocation Under Finite Simulation Budget for Feasibility Determination7
Multiproduct Newsvendor Problem with Customer-Driven Demand Substitution: A Stochastic Integer Program Perspective7
Monte Carlo and Quasi–Monte Carlo Density Estimation via Conditioning7
Solving the Distance-Based Critical Node Problem7
Inverse Mixed Integer Optimization: Polyhedral Insights and Trust Region Methods7
Convex Relaxations for Quadratic On/Off Constraints and Applications to Optimal Transmission Switching7
A Branch-and-Bound Algorithm for Team Formation on Social Networks7
Differentially Private Distributed Learning7
Decomposition-Based Approaches for a Class of Two-Stage Robust Binary Optimization Problems7
Decomposition and Adaptive Sampling for Data-Driven Inverse Linear Optimization7
Exploiting the Structure of Two-Stage Robust Optimization Models with Exponential Scenarios6
frvcpy: An Open-Source Solver for the Fixed Route Vehicle Charging Problem6
Supervised t-Distributed Stochastic Neighbor Embedding for Data Visualization and Classification6
Linearized Robust Counterparts of Two-Stage Robust Optimization Problems with Applications in Operations Management6
Estimating the Size of Branch-and-Bound Trees6
Recourse in Kidney Exchange Programs6
Exact Algorithms for the Minimum Load Spanning Tree Problem6
Robust Direct Aperture Optimization for Radiation Therapy Treatment Planning6
Time-Dependent Shortest Path Problems with Penalties and Limits on Waiting6
MAD Dispersion Measure Makes Extremal Queue Analysis Simple6
Communication-Constrained Expansion Planning for Resilient Distribution Systems6
The Star Degree Centrality Problem: A Decomposition Approach6
Mixed-Integer Programming vs. Constraint Programming for Shop Scheduling Problems: New Results and Outlook6
Optimization-Driven Scenario Grouping5
Efficient Stochastic Programming in Julia5
Worst-Case Expected Shortfall with Univariate and Bivariate Marginals5
An Interior-Point Differentiable Path-Following Method to Compute Stationary Equilibria in Stochastic Games5
Decomposition Strategies for Vehicle Routing Heuristics5
Causal Rule Sets for Identifying Subgroups with Enhanced Treatment Effects5
Iterative Prediction-and-Optimization for E-Logistics Distribution Network Design5
Dynamic Programming for the Time-Dependent Traveling Salesman Problem with Time Windows5
An Alternating Method for Cardinality-Constrained Optimization: A Computational Study for the Best Subset Selection and Sparse Portfolio Problems5
Reducing Conservatism in Robust Optimization5
A Machine Learning–Enabled Partially Observable Markov Decision Process Framework for Early Sepsis Prediction5
An Efficient Label-Correcting Algorithm for the Multiobjective Shortest Path Problem5
Branch-and-Bound for Biobjective Mixed-Integer Linear Programming5
Stochastic Decomposition for Two-Stage Stochastic Linear Programs with Random Cost Coefficients5
A Multistage Stochastic Programming Approach to the Optimal Surveillance and Control of the Emerald Ash Borer in Cities5
Statistical Tests for Cross-Validation of Kriging Models5
Robust Minimum-Cost Flow Problems Under Multiple Ripple Effect Disruptions5
Domination Measure: A New Metric for Solving Multiobjective Optimization5
ExpertRNA: A New Framework for RNA Secondary Structure Prediction5
Reducing and Calibrating for Input Model Bias in Computer Simulation4
Posterior-Based Stopping Rules for Bayesian Ranking-and-Selection Procedures4
Radius of Robust Feasibility for Mixed-Integer Problems4
Convexification of Queueing Formulas by Mixed-Integer Second-Order Cone Programming: An Application to a Discrete Location Problem with Congestion4
VeRoViz: A Vehicle Routing Visualization Toolkit4
Scalable Parallel Nonlinear Optimization with PyNumero and Parapint4
A Lagrangian Bound on the Clique Number and an Exact Algorithm for the Maximum Edge Weight Clique Problem4
Benders Subproblem Decomposition for Bilevel Problems with Convex Follower4
Optimal Group Testing: Structural Properties and Robust Solutions, with Application to Public Health Screening4
Robust Optimization for Models with Uncertain Second-Order Cone and Semidefinite Programming Constraints4
Logic-Based Benders Decomposition and Binary Decision Diagram Based Approaches for Stochastic Distributed Operating Room Scheduling4
Piecewise Constant Decision Rules via Branch-and-Bound Based Scenario Detection for Integer Adjustable Robust Optimization4
Knowledge Learning of Insurance Risks Using Dependence Models4
PyMOSO: Software for Multiobjective Simulation Optimization with R-PERLE and R-MinRLE4
MILP Models for Complex System Reliability Redundancy Allocation with Mixed Components4
Improving Reliability Estimation for Individual Numeric Predictions: A Machine Learning Approach4
Combining Polyhedral Approaches and Stochastic Dual Dynamic Integer Programming for Solving the Uncapacitated Lot-Sizing Problem Under Uncertainty4
Cost-Effective Social Media Influencer Marketing4
Policy Optimization in Dynamic Bayesian Network Hybrid Models of Biomanufacturing Processes4
A Scalable Lower Bound for the Worst-Case Relay Attack Problem on the Transmission Grid4
ROC++: Robust Optimization in C++4
Conflict-Driven Heuristics for Mixed Integer Programming4
An Augmented Lagrangian Decomposition Method for Chance-Constrained Optimization Problems4
Decision Diagram Decomposition for Quadratically Constrained Binary Optimization4
Practical Nonparametric Sampling Strategies for Quantile-Based Ordinal Optimization4
Computing Sensitivities for Distortion Risk Measures4
Detecting Product Adoption Intentions via Multiview Deep Learning4
Team Orienteering with Time-Varying Profit4
Stochastic Planning and Scheduling with Logic-Based Benders Decomposition4
Integrated Multiresource Capacity Planning and Multitype Patient Scheduling4
Transient-State Natural Gas Transmission in Gunbarrel Pipeline Networks4
Finite Difference Gradient Approximation: To Randomize or Not?4
SimOpt: A Testbed for Simulation-Optimization Experiments4
Exact Branch-Price-and-Cut for a Hospital Therapist Scheduling Problem with Flexible Service Locations and Time-Dependent Location Capacity4
Adaptive Bundle Methods for Nonlinear Robust Optimization4
Integrating Individual and Aggregate Diversity in Top-N Recommendation4
Multivariable Branching: A 0-1 Knapsack Problem Case Study4
A New Scatter Search Design for Multiobjective Combinatorial Optimization with an Application to Facility Location4
On Cluster-Aware Supervised Learning: Frameworks, Convergent Algorithms, and Applications4
A Multilevel Simulation Optimization Approach for Quantile Functions4
L0-Regularized Learning for High-Dimensional Additive Hazards Regression3
Integer Programming Formulations for Minimum Spanning Tree Interdiction3
Decision Diagrams for Discrete Optimization: A Survey of Recent Advances3
Optimal Power Flow in Distribution Networks Under N – 1 Disruptions: A Multistage Stochastic Programming Approach3
Exact Approaches for Single Machine Total Weighted Tardiness Batch Scheduling3
Diagnostic Tools for Evaluating and Comparing Simulation-Optimization Algorithms3
On Computing with Some Convex Relaxations for the Maximum-Entropy Sampling Problem3
Understanding and Predicting Users’ Rating Behavior: A Cognitive Perspective3
3-D Dynamic UAV Base Station Location Problem3
Modeling Contingent Decision Behavior: A Bayesian Nonparametric Preference-Learning Approach3
A Restricted Dual Peaceman-Rachford Splitting Method for a Strengthened DNN Relaxation for QAP3
A New Likelihood Ratio Method for Training Artificial Neural Networks3
On the Estimation of Discrete Choice Models to Capture Irrational Customer Behaviors3
A High-Fidelity Model to Predict Length of Stay in the Neonatal Intensive Care Unit3
Analyzing Firm Reports for Volatility Prediction: A Knowledge-Driven Text-Embedding Approach3
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
The Maximum k-Colorable Subgraph Problem and Related Problems3
Fine-Grained Job Salary Benchmarking with a Nonparametric Dirichlet Process–Based Latent Factor Model3
Improved Computational Approaches and Heuristics for Zero Forcing3
On the Exact Solution of Prize-Collecting Steiner Tree Problems3
A Mixed-Integer Fractional Optimization Approach to Best Subset Selection3
Solving AC Optimal Power Flow with Discrete Decisions to Global Optimality3
Surgery Sequencing Coordination with Recovery Resource Constraints3
Chance-Constrained Multiple Bin Packing Problem with an Application to Operating Room Planning3
Influence Maximization with Latency Requirements on Social Networks3
Risk-Averse Stochastic Programming vs. Adaptive Robust Optimization: A Virtual Power Plant Application3
Branch-Cut-and-Price for the Time-Dependent Green Vehicle Routing Problem with Time Windows3
Exactly Solving Hard Permutation Flowshop Scheduling Problems on Peta-Scale GPU-Accelerated Supercomputers3
Network Models for Multiobjective Discrete Optimization3
Large-Scale Inventory Optimization: A Recurrent Neural Networks–Inspired Simulation Approach3
Optimal Screening of Populations with Heterogeneous Risk Profiles Under the Availability of Multiple Tests3
Bin Packing Problem with Time Lags3
Parallel Machine Scheduling Under Uncertainty: Models and Exact Algorithms3
Exact and Approximation Algorithms for the Expanding Search Problem3
A Stochastic Approximation Method for Simulation-Based Quantile Optimization2
Solving Stochastic Optimization with Expectation Constraints Efficiently by a Stochastic Augmented Lagrangian-Type Algorithm2
Extending the Scope of Robust Quadratic Optimization2
A New Combinatorial Algorithm for Separable Convex Resource Allocation with Nested Bound Constraints2
Stability Representations of Many-to-One Matching Problems: An Integer Optimization Approach2
Convex Maximization via Adjustable Robust Optimization2
Combinatorial Heuristics for Inventory Routing Problems2
Improving Column Generation for Vehicle Routing Problems via Random Coloring and Parallelization2
A Practical Scheme to Compute the Pessimistic Bilevel Optimization Problem2
Polyhedral Results and Branch-and-Cut for the Resource Loading Problem2
Target-Oriented Distributionally Robust Optimization and Its Applications to Surgery Allocation2
Tagging Items Automatically Based on Both Content Information and Browsing Behaviors2
Fast Continuous and Integer L-Shaped Heuristics Through Supervised Learning2
Parameterized Algorithms for Power-Efficiently Connecting Wireless Sensor Networks: Theory and Experiments2
Predictive Search for Capacitated Multi-Item Lot Sizing Problems2
Production and Transportation Integration for Commit-to-Delivery Mode with General Shipping Costs2
An Adaptive Heuristic Approach to Compute Upper and Lower Bounds for The Close-Enough Traveling Salesman Problem2
Optimized Scenario Reduction: Solving Large-Scale Stochastic Programs with Quality Guarantees2
Learning Equilibria in Asymmetric Auction Games2
A New Scenario Reduction Method Based on Higher-Order Moments2
Uncovering Characteristic Response Paths of a Population2
Solving Large-Scale Fixed-Budget Ranking and Selection Problems2
An Improved Branch-and-Bound Algorithm for the One-Machine Scheduling Problem with Delayed Precedence Constraints2
A Learning-Based Matheuristic for Stochastic Multicommodity Network Design2
Detecting Critical Nodes in Sparse Graphs via “Reduce-Solve-Combine” Memetic Search2
A Computational Approach to First Passage Problems of Reflected Hyperexponential Jump Diffusion Processes2
Reducing Simulation Input-Model Risk via Input Model Averaging2
Improving Variable Orderings of Approximate Decision Diagrams Using Reinforcement Learning2
Robust Adaptive Submodular Maximization2
An Analytic Center Cutting Plane Method to Determine Complete Positivity of a Matrix2
The Zero Regrets Algorithm: Optimizing over Pure Nash Equilibria via Integer Programming2
An Ensemble Learning Approach with Gradient Resampling for Class-Imbalance Problems2
Perspective Reformulations of Semicontinuous Quadratically Constrained Quadratic Programs2
Building Load Control Using Distributionally Robust Chance-Constrained Programs with Right-Hand Side Uncertainty and the Risk-Adjustable Variants2
Min-Max Optimal Design of Two-Armed Trials with Side Information2
An Image-Based Approach to Detecting Structural Similarity Among Mixed Integer Programs2
A Core-Based Exact Algorithm for the Multidimensional Multiple Choice Knapsack Problem2
Modeling Single-Picker Routing Problems in Classical and Modern Warehouses2
An Exact Algorithm for Large-Scale Continuous Nonlinear Resource Allocation Problems with Minimax Regret Objectives2
The Optimal Design of Low-Latency Virtual Backbones2
An Analytic Framework for Effective Public Health Program Design Using Correctional Facilities2
Optimization-based Mechanisms for the Course Allocation Problem2
Lagrangian Duality for Robust Problems with Decomposable Functions: The Case of a Robust Inventory Problem2
Hub Location with Protection Under Interhub Link Failures2
TGVx: Dynamic Personalized POI Deep Recommendation Model2
Min-Sup-Min Robust Combinatorial Optimization with Few Recourse Solutions2
Decomposing Loosely Coupled Mixed-Integer Programs for Optimal Microgrid Design2
Breaking thermaxBarrier: Enhanced Approximation Algorithms for Partial Set Multicover Problem2
bsnsing: A Decision Tree Induction Method Based on Recursive Optimal Boolean Rule Composition2
Play Like the Pros? Solving the Game of Darts as a Dynamic Zero-Sum Game2
An Iterated Dual Substitution Approach for Binary Integer Programming Problems Under the Min-Max Regret Criterion2
The Quadratic Multiknapsack Problem with Conflicts and Balance Constraints2
A Simulation Optimization Approach for the Appointment Scheduling Problem with Decision-Dependent Uncertainties2
Provably Good Solutions to the Knapsack Problem via Neural Networks of Bounded Size2
On Generating Lagrangian Cuts for Two-Stage Stochastic Integer Programs2
Rapid Influence Maximization on Social Networks: The Positive Influence Dominating Set Problem2
Simple Pattern Minimality Problems: Integer Linear Programming Formulations and Covering-Based Heuristic Solving Approaches2
Logic-Based Benders Decomposition for Integrated Process Configuration and Production Planning Problems2
On the Solution of 0-Constrained Sparse Inverse Covariance Estimation Problems2
Machine Learning Methods for Data-Driven Demand Estimation and Assortment Planning Considering Cross-Selling and Substitutions2
Reference Vector Assisted Candidate Search with Aggregated Surrogate for Computationally Expensive Many Objective Optimization Problems1
Unifying Online and Offline Preference for Social Link Prediction1
A Nonconvex Optimization Approach to IMRT Planning with Dose–Volume Constraints1
Sampling Conditionally on a Rare Event via Generalized Splitting1
Gradient-Based Simulation Optimization Algorithms via Multi-Resolution System Approximations1
When Lift-and-Project Cuts Are Different1
Enhancing Branch-and-Bound for Multiobjective 0-1 Programming1
Distinguishing Homophily from Peer Influence Through Network Representation Learning1
Dynamic Discretization Discovery Algorithms for Time-Dependent Shortest Path Problems1
High-Performance Prototyping of Decomposition Methods in GAMS1
An Interior Point–Inspired Algorithm for Linear Programs Arising in Discrete Optimal Transport1
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