Informs Journal on Computing

Papers
(The TQCC of Informs Journal on Computing is 4. 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 2020-05-01 to 2024-05-01.)
ArticleCitations
Learning to Solve Large-Scale Security-Constrained Unit Commitment Problems48
SDDP.jl: A Julia Package for Stochastic Dual Dynamic Programming40
Assortment Optimization Under the Multinomial Logit Model with Sequential Offerings37
On Mixed-Integer Programming Formulations for the Unit Commitment Problem34
A Scalable Algorithm for Sparse Portfolio Selection28
Picker Routing in AGV-Assisted Order Picking Systems25
Computing Feasible Points of Bilevel Problems with a Penalty Alternating Direction Method24
Approximate Dynamic Programming for Military Medical Evacuation Dispatching Policies23
MathOptInterface: A Data Structure for Mathematical Optimization Problems23
Online Mixed-Integer Optimization in Milliseconds21
On the Derivation of Continuous Piecewise Linear Approximating Functions21
Robust Optimization of a Broad Class of Heterogeneous Vehicle Routing Problems Under Demand Uncertainty21
Learning for Constrained Optimization: Identifying Optimal Active Constraint Sets20
Integrated Backup Rolling Stock Allocation and Timetable Rescheduling with Uncertain Time-Variant Passenger Demand Under Disruptive Events18
Novel Formulations and Logic-Based Benders Decomposition for the Integrated Parallel Machine Scheduling and Location Problem18
Branch and Price for Chance-Constrained Bin Packing18
Mixed-Integer Convex Nonlinear Optimization with Gradient-Boosted Trees Embedded18
Ranking and Selection with Covariates for Personalized Decision Making17
Enumeration of the Nondominated Set of Multiobjective Discrete Optimization Problems17
Distributionally Robust Optimization Under a Decision-Dependent Ambiguity Set with Applications to Machine Scheduling and Humanitarian Logistics16
Learning-Based Branch-and-Price Algorithms for the Vehicle Routing Problem with Time Windows and Two-Dimensional Loading Constraints16
Data-Driven Optimization of Reward-Risk Ratio Measures16
Combinatorial Benders Decomposition for the Two-Dimensional Bin Packing Problem16
Predicting Tactical Solutions to Operational Planning Problems Under Imperfect Information15
Scalable Vertiport Hub Location Selection for Air Taxi Operations in a Metropolitan Region14
Distributionally Robust Design for Redundancy Allocation14
A Branch-Price-and-Cut Procedure for the Discrete Ordered Median Problem14
Solving the Type-2 Assembly Line Balancing with Setups Using Logic-Based Benders Decomposition13
A General Model and Efficient Algorithms for Reliable Facility Location Problem Under Uncertain Disruptions13
A Branch-and-Price Algorithm for Facility Location with General Facility Cost Functions13
JANOS: An Integrated Predictive and Prescriptive Modeling Framework12
Robust Stochastic Facility Location: Sensitivity Analysis and Exact Solution12
Solving Natural Conic Formulations with Hypatia.jl12
Approximation Methods for Multiobjective Optimization Problems: A Survey12
Improving Sales Forecasting Accuracy: A Tensor Factorization Approach with Demand Awareness12
Robust Optimization for Electricity Generation11
Multistage Stochastic Power Generation Scheduling Co-Optimizing Energy and Ancillary Services11
Sparse Convex Regression11
SOS-SDP: An Exact Solver for Minimum Sum-of-Squares Clustering11
Rapid Discrete Optimization via Simulation with Gaussian Markov Random Fields11
A Branch-and-Bound Algorithm for Building Optimal Data Gathering Tree in Wireless Sensor Networks10
Multicomponent Maintenance Optimization: A Stochastic Programming Approach10
Robust Models for the Kidney Exchange Problem10
Computationally Efficient Approximations for Distributionally Robust Optimization Under Moment and Wasserstein Ambiguity10
Inductive Representation Learning on Dynamic Stock Co-Movement Graphs for Stock Predictions10
A Comparison of Two Mixed-Integer Linear Programs for Piecewise Linear Function Fitting10
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
Efficient Sampling Allocation Procedures for Optimal Quantile Selection10
The Value of Randomized Solutions in Mixed-Integer Distributionally Robust Optimization Problems10
Alfonso: Matlab Package for Nonsymmetric Conic Optimization10
Calibration of Voting-Based Helpfulness Measurement for Online Reviews: An Iterative Bayesian Probability Approach9
A Review Selection Method for Finding an Informative Subset from Online Reviews9
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
Monte Carlo and Quasi–Monte Carlo Density Estimation via Conditioning8
Disjoint Bilinear Optimization: A Two-Stage Robust Optimization Perspective8
MAD Dispersion Measure Makes Extremal Queue Analysis Simple8
Learning to Correlate Accounts Across Online Social Networks: An Embedding-Based Approach8
Linearized Robust Counterparts of Two-Stage Robust Optimization Problems with Applications in Operations Management8
Solving the Distance-Based Critical Node Problem8
Inverse Mixed Integer Optimization: Polyhedral Insights and Trust Region Methods8
Speeding Up Paulson’s Procedure for Large-Scale Problems Using Parallel Computing8
Detecting Product Adoption Intentions via Multiview Deep Learning8
A Branch-and-Bound Algorithm for Team Formation on Social Networks7
Dynamic Sampling Allocation Under Finite Simulation Budget for Feasibility Determination7
Multiproduct Newsvendor Problem with Customer-Driven Demand Substitution: A Stochastic Integer Program Perspective7
Supervised t-Distributed Stochastic Neighbor Embedding for Data Visualization and Classification7
Finite Difference Gradient Approximation: To Randomize or Not?7
frvcpy: An Open-Source Solver for the Fixed Route Vehicle Charging Problem7
Convex Relaxations for Quadratic On/Off Constraints and Applications to Optimal Transmission Switching7
A Multilevel Simulation Optimization Approach for Quantile Functions7
Mixed-Integer Programming vs. Constraint Programming for Shop Scheduling Problems: New Results and Outlook7
Differentially Private Distributed Learning7
Exact Algorithms for the Minimum Load Spanning Tree Problem7
Decomposition and Adaptive Sampling for Data-Driven Inverse Linear Optimization7
Team Orienteering with Time-Varying Profit7
An Interior-Point Differentiable Path-Following Method to Compute Stationary Equilibria in Stochastic Games6
Dynamic Programming for the Time-Dependent Traveling Salesman Problem with Time Windows6
Optimization-Driven Scenario Grouping6
Recourse in Kidney Exchange Programs6
Robust Direct Aperture Optimization for Radiation Therapy Treatment Planning6
Time-Dependent Shortest Path Problems with Penalties and Limits on Waiting6
A Machine Learning–Enabled Partially Observable Markov Decision Process Framework for Early Sepsis Prediction6
Analyzing Firm Reports for Volatility Prediction: A Knowledge-Driven Text-Embedding Approach6
Knowledge Learning of Insurance Risks Using Dependence Models6
Stochastic Dual Dynamic Programming for Multiechelon Lot Sizing with Component Substitution6
Estimating the Size of Branch-and-Bound Trees6
VeRoViz: A Vehicle Routing Visualization Toolkit6
A Stochastic Approximation Method for Simulation-Based Quantile Optimization6
Statistical Tests for Cross-Validation of Kriging Models6
The Star Degree Centrality Problem: A Decomposition Approach6
Iterative Prediction-and-Optimization for E-Logistics Distribution Network Design6
On Cluster-Aware Supervised Learning: Frameworks, Convergent Algorithms, and Applications5
Solving AC Optimal Power Flow with Discrete Decisions to Global Optimality5
Improved Computational Approaches and Heuristics for Zero Forcing5
Stochastic Decomposition for Two-Stage Stochastic Linear Programs with Random Cost Coefficients5
Optimising Electric Vehicle Charging Station Placement Using Advanced Discrete Choice Models5
Worst-Case Expected Shortfall with Univariate and Bivariate Marginals5
Domination Measure: A New Metric for Solving Multiobjective Optimization5
An Alternating Method for Cardinality-Constrained Optimization: A Computational Study for the Best Subset Selection and Sparse Portfolio Problems5
A Splicing Approach to Best Subset of Groups Selection5
ExpertRNA: A New Framework for RNA Secondary Structure Prediction5
An Efficient Label-Correcting Algorithm for the Multiobjective Shortest Path Problem5
A Multistage Stochastic Programming Approach to the Optimal Surveillance and Control of the Emerald Ash Borer in Cities5
Scalable Parallel Nonlinear Optimization with PyNumero and Parapint5
Efficient Stochastic Programming in Julia5
Benders Subproblem Decomposition for Bilevel Problems with Convex Follower5
The Zero Regrets Algorithm: Optimizing over Pure Nash Equilibria via Integer Programming5
Reducing Conservatism in Robust Optimization5
Integrating Individual and Aggregate Diversity in Top-N Recommendation5
Diagnostic Tools for Evaluating and Comparing Simulation-Optimization Algorithms5
Piecewise Constant Decision Rules via Branch-and-Bound Based Scenario Detection for Integer Adjustable Robust Optimization5
Branch-and-Bound for Biobjective Mixed-Integer Linear Programming5
3-D Dynamic UAV Base Station Location Problem5
Radius of Robust Feasibility for Mixed-Integer Problems5
Combining Polyhedral Approaches and Stochastic Dual Dynamic Integer Programming for Solving the Uncapacitated Lot-Sizing Problem Under Uncertainty5
Decision Diagrams for Discrete Optimization: A Survey of Recent Advances5
Robust Minimum-Cost Flow Problems Under Multiple Ripple Effect Disruptions5
Decomposition Strategies for Vehicle Routing Heuristics5
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
Improving Variable Orderings of Approximate Decision Diagrams Using Reinforcement Learning4
A New Scenario Reduction Method Based on Higher-Order Moments4
A Scalable Lower Bound for the Worst-Case Relay Attack Problem on the Transmission Grid4
An Analytic Center Cutting Plane Method to Determine Complete Positivity of a Matrix4
Reducing and Calibrating for Input Model Bias in Computer Simulation4
Convexification of Queueing Formulas by Mixed-Integer Second-Order Cone Programming: An Application to a Discrete Location Problem with Congestion4
Globalized Distributionally Robust Counterpart4
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
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
Optimized Scenario Reduction: Solving Large-Scale Stochastic Programs with Quality Guarantees4
Improving Column Generation for Vehicle Routing Problems via Random Coloring and Parallelization4
Solving Large-Scale Fixed-Budget Ranking and Selection Problems4
Stochastic Planning and Scheduling with Logic-Based Benders Decomposition4
A Simulation Optimization Approach for the Appointment Scheduling Problem with Decision-Dependent Uncertainties4
Transient-State Natural Gas Transmission in Gunbarrel Pipeline Networks4
Cost-Effective Social Media Influencer Marketing4
Parallel Machine Scheduling Under Uncertainty: Models and Exact Algorithms4
Policy Optimization in Dynamic Bayesian Network Hybrid Models of Biomanufacturing Processes4
Exact Branch-Price-and-Cut for a Hospital Therapist Scheduling Problem with Flexible Service Locations and Time-Dependent Location Capacity4
Risk-Averse Stochastic Programming vs. Adaptive Robust Optimization: A Virtual Power Plant Application4
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
Logic-Based Benders Decomposition and Binary Decision Diagram Based Approaches for Stochastic Distributed Operating Room Scheduling4
A New Scatter Search Design for Multiobjective Combinatorial Optimization with an Application to Facility Location4
Optimal Screening of Populations with Heterogeneous Risk Profiles Under the Availability of Multiple Tests4
RSOME in Python: An Open-Source Package for Robust Stochastic Optimization Made Easy4
Chance-Constrained Multiple Bin Packing Problem with an Application to Operating Room Planning4
Posterior-Based Stopping Rules for Bayesian Ranking-and-Selection Procedures4
Surgery Sequencing Coordination with Recovery Resource Constraints4
Integrated Multiresource Capacity Planning and Multitype Patient Scheduling4
MILP Models for Complex System Reliability Redundancy Allocation with Mixed Components4
Bin Packing Problem with Time Lags4
On the Exact Solution of Prize-Collecting Steiner Tree Problems4
SimOpt: A Testbed for Simulation-Optimization Experiments4
Influence Maximization with Latency Requirements on Social Networks4
Adaptive Bundle Methods for Nonlinear Robust Optimization4
Multivariable Branching: A 0-1 Knapsack Problem Case Study4
Computing Sensitivities for Distortion Risk Measures4
The Maximum k-Colorable Subgraph Problem and Related Problems4
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