INFORMS Journal on Computing
2017 - 2025
From INFORMS Contact information at EDIRC. Bibliographic data for series maintained by Chris Asher (). Access Statistics for this journal.
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Volume 34, issue 6, 2022
- Note from the Editor pp. 2867-2867

- Alice Smith
- Computational and Theoretical Challenges for Computing the Minimum Rank of a Graph pp. 2868-2872

- Illya V. Hicks, Boris Brimkov, Louis Deaett, Ruth Haas, Derek Mikesell, David Roberson and Logan Smith
- ROC++: Robust Optimization in C++ pp. 2873-2888

- Phebe Vayanos, Qing Jin and George Elissaios
- A Stochastic Approximation Method for Simulation-Based Quantile Optimization pp. 2889-2907

- Jiaqiao Hu, Yijie Peng, Gongbo Zhang and Qi Zhang
- bsnsing: A Decision Tree Induction Method Based on Recursive Optimal Boolean Rule Composition pp. 2908-2929

- Yanchao Liu
- Solving Large-Scale Fixed-Budget Ranking and Selection Problems pp. 2930-2949

- L. Jeff Hong, Guangxin Jiang and Ying Zhong
- Setting Reserve Prices in Second-Price Auctions with Unobserved Bids pp. 2950-2967

- Jason Rhuggenaath, Alp Akcay, Yingqian Zhang and Uzay Kaymak
- An Alternating Method for Cardinality-Constrained Optimization: A Computational Study for the Best Subset Selection and Sparse Portfolio Problems pp. 2968-2988

- Carina Moreira Costa, Dennis Kreber and Martin Schmidt
- Solving Stochastic Optimization with Expectation Constraints Efficiently by a Stochastic Augmented Lagrangian-Type Algorithm pp. 2989-3006

- Liwei Zhang, Yule Zhang, Jia Wu and Xiantao Xiao
- Bifidelity Surrogate Modelling: Showcasing the Need for New Test Instances pp. 3007-3022

- Nicolau Andrés-Thió, Mario Andrés Muñoz and Kate Smith-Miles
- A Computational Framework for Solving Nonlinear Binary Optimization Problems in Robust Causal Inference pp. 3023-3041

- Md Saiful Islam, Md Sarowar Morshed and Md. Noor-E-Alam
- Optimization Strategies for Resource-Constrained Project Scheduling Problems in Underground Mining pp. 3042-3058

- Alessandro Hill, Andrea J. Brickey, Italo Cipriano, Marcos Goycoolea and Alexandra Newman
- Parallel Machine Scheduling Under Uncertainty: Models and Exact Algorithms pp. 3059-3079

- Guopeng Song and Roel Leus
- Finding Feasible Systems for Subjective Constraints Using Recycled Observations pp. 3080-3095

- Yuwei Zhou, Sigrún Andradóttir, Seong-Hee Kim and Chuljin Park
- Toward Efficient Ensemble Learning with Structure Constraints: Convergent Algorithms and Applications pp. 3096-3116

- Shao-Bo Lin, Shaojie Tang, Yao Wang and Di Wang
- A Penalty Branch-and-Bound Method for Mixed Binary Linear Complementarity Problems pp. 3117-3133

- Marianna De Santis, Sven de Vries, Martin Schmidt and Lukas Winkel
- A Branch-and-Price Algorithm for the Multiple Knapsack Problem pp. 3134-3150

- Olivier Lalonde, Jean-François Côté and Bernard Gendron
- Stochastic Dual Dynamic Programming for Multiechelon Lot Sizing with Component Substitution pp. 3151-3169

- Simon Thevenin, Yossiri Adulyasak and Jean-François Cordeau
- Augmenting Markov Cohort Analysis to Compute (Co)Variances: Implications for Strength of Cost-Effectiveness pp. 3170-3180

- Gordon B. Hazen
- On Fault-Tolerant Low-Diameter Clusters in Graphs pp. 3181-3199

- Yajun Lu, Hosseinali Salemi, Balabhaskar Balasundaram and Austin Buchanan
- An Algorithm for Maximizing a Convex Function Based on Its Minimum pp. 3200-3214

- Aharon Ben-Tal and Ernst Roos
- Robust Team Orienteering Problem with Decreasing Profits pp. 3215-3233

- Qinxiao Yu, Chun Cheng and Ning Zhu
- Integrated Backup Rolling Stock Allocation and Timetable Rescheduling with Uncertain Time-Variant Passenger Demand Under Disruptive Events pp. 3234-3258

- Jiateng Yin, Lixing Yang, Andrea D’Ariano, Tao Tang and Ziyou Gao
- Disjunctive Rule Lists pp. 3259-3276

- Ronilo Ragodos and Tong Wang
- Robust Adaptive Submodular Maximization pp. 3277-3291

- Shaojie Tang
- Dynamic Programming for the Time-Dependent Traveling Salesman Problem with Time Windows pp. 3292-3308

- Gonzalo Lera-Romero, Juan José Miranda Bront and Francisco J. Soulignac
- A Polyhedral Study on Fuel-Constrained Unit Commitment pp. 3309-3324

- Kai Pan, Ming Zhao, Chung-Lun Li and Feng Qiu
- Stability Representations of Many-to-One Matching Problems: An Integer Optimization Approach pp. 3325-3343

- Pitchaya Wiratchotisatian, Hoda Atef Yekta and Andrew C. Trapp
Volume 34, issue 5, 2022
- Note from the Editor pp. 2383-2383

- Alice E. Smith
- Finite Difference Gradient Approximation: To Randomize or Not? pp. 2384-2388

- Katya Scheinberg
- Heterogeneous Multi-resource Allocation with Subset Demand Requests pp. 2389-2399

- Arden Baxter, Pinar Keskinocak and Mohit Singh
- Stochastic Cutting Planes for Data-Driven Optimization pp. 2400-2409

- Dimitris Bertsimas and Michael Lingzhi Li
- Disjoint Bilinear Optimization: A Two-Stage Robust Optimization Perspective pp. 2410-2427

- Jianzhe Zhen, Ahmadreza Marandi, Danique de Moor, Dick den Hertog and Lieven Vandenberghe
- Stochastic Planning and Scheduling with Logic-Based Benders Decomposition pp. 2428-2442

- Özgün Elçi and John Hooker
- Fine-Grained Job Salary Benchmarking with a Nonparametric Dirichlet Process–Based Latent Factor Model pp. 2443-2463

- Qingxin Meng, Keli Xiao, Dazhong Shen, Hengshu Zhu and Hui Xiong
- ExpertRNA: A New Framework for RNA Secondary Structure Prediction pp. 2464-2484

- Menghan Liu, Erik Poppleton, Giulia Pedrielli, Petr Šulc and Dimitri P. Bertsekas
- Features Selection as a Nash-Bargaining Solution: Applications in Online Advertising and Information Systems pp. 2485-2501

- Kimia Keshanian, Daniel Zantedeschi and Kaushik Dutta
- Exactly Solving Hard Permutation Flowshop Scheduling Problems on Peta-Scale GPU-Accelerated Supercomputers pp. 2502-2522

- Jan Gmys
- An Iterated Dual Substitution Approach for Binary Integer Programming Problems Under the Min-Max Regret Criterion pp. 2523-2539

- Wei Wu, Manuel Iori, Silvano Martello and Mutsunori Yagiura
- Play Like the Pros? Solving the Game of Darts as a Dynamic Zero-Sum Game pp. 2540-2551

- Martin B. Haugh and Chun Wang
- Improving Variable Orderings of Approximate Decision Diagrams Using Reinforcement Learning pp. 2552-2570

- Quentin Cappart, David Bergman, Louis-Martin Rousseau, Isabeau Prémont-Schwarz and Augustin Parjadis
- Network Design with Service Requirements: Scaling-up the Size of Solvable Problems pp. 2571-2582

- Naga V. C. Gudapati, Enrico Malaguti and Michele Monaci
- Optimal Frameworks for Detecting Anomalies in Sensor-Intensive Heterogeneous Networks pp. 2583-2610

- Ramin Moghaddass and Yongtao Guan
- FrankWolfe.jl: A High-Performance and Flexible Toolbox for Frank–Wolfe Algorithms and Conditional Gradients pp. 2611-2620

- Mathieu Besançon, Alejandro Carderera and Sebastian Pokutta
- Convexification of Queueing Formulas by Mixed-Integer Second-Order Cone Programming: An Application to a Discrete Location Problem with Congestion pp. 2621-2633

- Amir Ahmadi-Javid and Pooya Hoseinpour
- A Branch-and-Cut Algorithm for Submodular Interdiction Games pp. 2634-2657

- Kübra Tanınmış and Markus Sinnl
- A Catalog of Formulations for the Network Pricing Problem pp. 2658-2674

- Quang Minh Bui, Bernard Gendron and Margarida Carvalho
- Constant Approximation for the Lifetime Scheduling Problem of p -Percent Coverage pp. 2675-2685

- Zhao Zhang, Wei Liang, Hongmin W. Du and Siwen Liu
- Solving Natural Conic Formulations with Hypatia.jl pp. 2686-2699

- Chris Coey, Lea Kapelevich and Juan Pablo Vielma
- Stochastic RWA and Lightpath Rerouting in WDM Networks pp. 2700-2719

- Maryam Daryalal and Merve Bodur
- Decomposition and Adaptive Sampling for Data-Driven Inverse Linear Optimization pp. 2720-2735

- Rishabh Gupta and Qi Zhang
- Projective Cutting-Planes for Robust Linear Programming and Cutting Stock Problems pp. 2736-2753

- Daniel Porumbel
- A Software Package and Data Set for the Personal Protective Equipment Matching Problem During COVID-19 pp. 2754-2761

- Michele Samorani, Ram Bala, Rohit Jacob and Shuhan He
- L 0 -Regularized Learning for High-Dimensional Additive Hazards Regression pp. 2762-2775

- Zemin Zheng, Jie Zhang and Yang Li
- Robust Stochastic Facility Location: Sensitivity Analysis and Exact Solution pp. 2776-2803

- Tianqi Liu, Francisco Saldanha-da-Gama, Shuming Wang and Yuchen Mao
- A Closest Benders Cut Selection Scheme for Accelerating the Benders Decomposition Algorithm pp. 2804-2827

- Kiho Seo, Seulgi Joung, Chungmok Lee and Sungsoo Park
- Managing Product Transitions: A Bilevel Programming Approach pp. 2828-2844

- Rahman Khorramfar, Osman Y. Özaltın, Karl G. Kempf and Reha Uzsoy
- A Simulation Optimization Approach for the Appointment Scheduling Problem with Decision-Dependent Uncertainties pp. 2845-2865

- Tito Homem- de-Mello, Qingxia Kong and Rodrigo Godoy-Barba
Volume 34, issue 4, 2022
- Note from the Editor pp. 1841-1841

- Alice E. Smith
- VeRoViz: A Vehicle Routing Visualization Toolkit pp. 1842-1848

- Lan Peng and Chase Murray
- An Image-Based Approach to Detecting Structural Similarity Among Mixed Integer Programs pp. 1849-1870

- Zachary Steever, Chase Murray, Junsong Yuan, Mark Karwan and Marco Lübbecke
- Dynamic Relaxations for Online Bipartite Matching pp. 1871-1884

- Alfredo Torrico and Alejandro Toriello
- Efficient Stochastic Programming in Julia pp. 1885-1902

- Martin Biel and Mikael Johansson
- A New Scenario Reduction Method Based on Higher-Order Moments pp. 1903-1918

- Weiguo Zhang and Xiaolei He
- A Nested Cross Decomposition Algorithm for Power System Capacity Expansion with Multiscale Uncertainties pp. 1919-1939

- Zhouchun Huang, Qipeng P. Zheng and Andrew L. Liu
- Inductive Representation Learning on Dynamic Stock Co-Movement Graphs for Stock Predictions pp. 1940-1957

- Hu Tian, Xiaolong Zheng, Kang Zhao, Maggie Wenjing Liu and Daniel Dajun Zeng
- Distinguishing Homophily from Peer Influence Through Network Representation Learning pp. 1958-1969

- Xi Chen, Yan Liu and Cheng Zhang
- Exact Solution Algorithms for the Chordless Cycle Problem pp. 1970-1986

- Dilson Lucas Pereira, Abilio Lucena, Alexandre Salles da Cunha and Luidi Simonetti
- Exact Algorithms for Maximum Lifetime Data-Gathering Tree in Wireless Sensor Networks pp. 1987-2002

- Marco Casazza and Alberto Ceselli
- The Capacitated and Economic Districting Problem pp. 2003-2016

- Luis Henrique Pauleti Mendes, Fábio Luiz Usberti and Celso Cavellucci
- Robust Direct Aperture Optimization for Radiation Therapy Treatment Planning pp. 2017-2038

- Danielle A. Ripsman, Thomas G. Purdie, Timothy C. Y. Chan and Houra Mahmoudzadeh
- A Machine Learning–Enabled Partially Observable Markov Decision Process Framework for Early Sepsis Prediction pp. 2039-2057

- Zeyu Liu, Anahita Khojandi, Xueping Li, Akram Mohammed, Robert L Davis and Rishikesan Kamaleswaran
- Target-Oriented Distributionally Robust Optimization and Its Applications to Surgery Allocation pp. 2058-2072

- Vincent Tsz Fai Chow, Zheng Cui and Daniel Zhuoyu Long
- Variable Bound Tightening and Valid Constraints for Multiperiod Blending pp. 2073-2090

- Yifu Chen and Christos T. Maravelias
- Convex Maximization via Adjustable Robust Optimization pp. 2091-2105

- Aras Selvi, Aharon Ben-Tal, Ruud Brekelmans and Dick den Hertog
- Adaptive Bundle Methods for Nonlinear Robust Optimization pp. 2106-2124

- Martina Kuchlbauer, Frauke Liers and Michael Stingl
- A Restricted Dual Peaceman-Rachford Splitting Method for a Strengthened DNN Relaxation for QAP pp. 2125-2143

- Naomi Graham, Hao Hu, Jiyoung Im, Xinxin Li and Henry Wolkowicz
- SOS-SDP: An Exact Solver for Minimum Sum-of-Squares Clustering pp. 2144-2162

- Veronica Piccialli, Antonio M. Sudoso and Angelika Wiegele
- Computing Optimized Path Integrals for Knapsack Feasibility pp. 2163-2176

- Endric Daues and Ulf Friedrich
- Logic-Based Benders Decomposition for Integrated Process Configuration and Production Planning Problems pp. 2177-2191

- Karim Pérez Martínez, Yossiri Adulyasak and Raf Jans
- Branch-and-Price Approaches for Real-Time Vehicle Routing with Picking, Loading, and Soft Time Windows pp. 2192-2211

- Martin Wölck and Stephan Meisel
- Min-Sup-Min Robust Combinatorial Optimization with Few Recourse Solutions pp. 2212-2228

- Ayşe N. Arslan, Michael Poss and Marco Silva
- Online Mixed-Integer Optimization in Milliseconds pp. 2229-2248

- Dimitris Bertsimas and Bartolomeo Stellato
- Bin Packing Problem with Time Lags pp. 2249-2270

- Orlando Rivera Letelier, François Clautiaux and Ruslan Sadykov
- Decision Diagrams for Discrete Optimization: A Survey of Recent Advances pp. 2271-2295

- Margarita P. Castro, Andre A. Cire and J. Christopher Beck
- A Scalable Lower Bound for the Worst-Case Relay Attack Problem on the Transmission Grid pp. 2296-2312

- Emma S. Johnson and Santanu Subhas Dey
- Integral Column Generation for Set Partitioning Problems with Side Constraints pp. 2313-2331

- Adil Tahir, Guy Desaulniers and Issmail El Hallaoui
- On Generating Lagrangian Cuts for Two-Stage Stochastic Integer Programs pp. 2332-2349

- Rui Chen and James Luedtke
- Robust Simulation with Likelihood-Ratio Constrained Input Uncertainty pp. 2350-2367

- Zhaolin Hu and L. Jeff Hong
- Reducing and Calibrating for Input Model Bias in Computer Simulation pp. 2368-2382

- Lucy E. Morgan, Luke Rhodes-Leader and Russell R. Barton
Volume 34, issue 3, 2022
- Note from the Editor pp. 1305-1305

- Alice E. Smith
- Unforeseen Consequences of “Tabu” Choices—A Retrospective pp. 1306-1308

- Fred W. Glover
- Solving the Distance-Based Critical Node Problem pp. 1309-1326

- Hosseinali Salemi and Austin Buchanan
- Extended Graph Formulation for the Inequity Aversion Pricing Problem on Social Networks pp. 1327-1344

- Sunil Chopra, Hyunwoo Park and Sangho Shim
- Rapid Influence Maximization on Social Networks: The Positive Influence Dominating Set Problem pp. 1345-1365

- S. Raghavan and Rui Zhang
- A Nonconvex Optimization Approach to IMRT Planning with Dose–Volume Constraints pp. 1366-1386

- Kelsey Maass, Minsun Kim and Aleksandr Aravkin
- On a Reduction for a Class of Resource Allocation Problems pp. 1387-1402

- Martijn H. H. Schoot Uiterkamp, Marco E. T. Gerards and Johann L. Hurink
- An Interior-Point Differentiable Path-Following Method to Compute Stationary Equilibria in Stochastic Games pp. 1403-1418

- Chuangyin Dang, P. Jean-Jacques Herings and Peixuan Li
- Learning-Based Branch-and-Price Algorithms for the Vehicle Routing Problem with Time Windows and Two-Dimensional Loading Constraints pp. 1419-1436

- Xiangyi Zhang, Lu Chen, Michel Gendreau and André Langevin
- A General Framework for Approximating Min Sum Ordering Problems pp. 1437-1452

- Felix Happach, Lisa Hellerstein and Thomas Lidbetter
- A Criterion Space Branch-and-Cut Algorithm for Mixed Integer Bilinear Maximum Multiplicative Programs pp. 1453-1470

- Vahid Mahmoodian, Iman Dayarian, Payman Ghasemi Saghand, Yu Zhang and Hadi Charkhgard
- Inverse Mixed Integer Optimization: Polyhedral Insights and Trust Region Methods pp. 1471-1488

- Merve Bodur, Timothy C. Y. Chan and Ian Yihang Zhu
- A Scalable Algorithm for Sparse Portfolio Selection pp. 1489-1511

- Dimitris Bertsimas and Ryan Cory-Wright
- Exact Approaches for Single Machine Total Weighted Tardiness Batch Scheduling pp. 1512-1530

- Artur Alves Pessoa, Teobaldo Bulhões, Vitor Nesello and Anand Subramanian
- Building Load Control Using Distributionally Robust Chance-Constrained Programs with Right-Hand Side Uncertainty and the Risk-Adjustable Variants pp. 1531-1547

- Yiling Zhang and Jin Dong
- A General Branch-and-Cut Framework for Rotating Workforce Scheduling pp. 1548-1564

- Tristan Becker, Maximilian Schiffer and Grit Walther
- Unsupervised Learning for Human Mobility Behaviors pp. 1565-1586

- Siyuan Liu, Shaojie Tang, Jiangchuan Zheng and Lionel M. Ni
- Efficient Algebraic Multigrid Methods for Multilevel Overlapping Coclustering of User-Item Relationships pp. 1587-1605

- Haifeng Xu, Rasha F. Kashef, Hans De Sterck and Geoffrey Sanders
- On the Estimation of Discrete Choice Models to Capture Irrational Customer Behaviors pp. 1606-1625

- Sanjay Dominik Jena, Andrea Lodi and Claudio Sole
- Causal Rule Sets for Identifying Subgroups with Enhanced Treatment Effects pp. 1626-1643

- Tong Wang and Cynthia Rudin
- Improving Sales Forecasting Accuracy: A Tensor Factorization Approach with Demand Awareness pp. 1644-1660

- Xuan Bi, Gediminas Adomavicius, William Li and Annie Qu
- Uncovering Characteristic Response Paths of a Population pp. 1661-1680

- Yicheng Song, Nachiketa Sahoo, Shuba Srinivasan and Chrysanthos Dellarocas
- MAD Dispersion Measure Makes Extremal Queue Analysis Simple pp. 1681-1692

- Wouter van Eekelen, Dick den Hertog and Johan S.H. van Leeuwaarden
- Algorithms for Queueing Systems with Reneging and Priorities Modeled as Quasi-Birth-Death Processes pp. 1693-1710

- Amir Rastpour, Armann Ingolfsson and Burhaneddin Sandıkçı
- Posterior-Based Stopping Rules for Bayesian Ranking-and-Selection Procedures pp. 1711-1728

- David J. Eckman and Shane G. Henderson
- Monte Carlo and Quasi–Monte Carlo Density Estimation via Conditioning pp. 1729-1748

- Pierre L’Ecuyer, Florian Puchhammer and Amal Ben Abdellah
- Benders Subproblem Decomposition for Bilevel Problems with Convex Follower pp. 1749-1767

- Geunyeong Byeon and Pascal Van Hentenryck
- Computationally Efficient Approximations for Distributionally Robust Optimization Under Moment and Wasserstein Ambiguity pp. 1768-1794

- Meysam Cheramin, Jianqiang Cheng, Ruiwei Jiang and Kai Pan
- Risk-Averse Stochastic Programming vs. Adaptive Robust Optimization: A Virtual Power Plant Application pp. 1795-1818

- Ricardo M. Lima, Antonio J. Conejo, Loïc Giraldi, Olivier Le Maître, Ibrahim Hoteit and Omar M. Knio
- Integrated Stochastic Optimal Self-Scheduling for Two-Settlement Electricity Markets pp. 1819-1840

- Kai Pan and Yongpei Guan
Volume 34, issue 2, 2022
- Note from the Editor pp. 671-671

- Alice E. Smith
- MathOptInterface: A Data Structure for Mathematical Optimization Problems pp. 672-689

- Benoît Legat, Oscar Dowson, Joaquim Dias Garcia and Miles Lubin
- Optimal Power Flow in Distribution Networks Under N – 1 Disruptions: A Multistage Stochastic Programming Approach pp. 690-709

- Haoxiang Yang and Harsha Nagarajan
- Influence Maximization with Latency Requirements on Social Networks pp. 710-728

- S. Raghavan and Rui Zhang
- Distributionally Robust Optimization Under a Decision-Dependent Ambiguity Set with Applications to Machine Scheduling and Humanitarian Logistics pp. 729-751

- Nilay Noyan, Gábor Rudolf and Miguel Lejeune
- Practical Nonparametric Sampling Strategies for Quantile-Based Ordinal Optimization pp. 752-768

- Dongwook Shin, Mark Broadie and Assaf Zeevi
- Iterative Prediction-and-Optimization for E-Logistics Distribution Network Design pp. 769-789

- Junming Liu, Weiwei Chen, Jingyuan Yang, Hui Xiong and Can Chen
- SHEDR: An End-to-End Deep Neural Event Detection and Recommendation Framework for Hyperlocal News Using Social Media pp. 790-806

- Yuheng Hu and Yili Hong
- JANOS: An Integrated Predictive and Prescriptive Modeling Framework pp. 807-816

- David Bergman, Teng Huang, Philip Brooks, Andrea Lodi and Arvind U. Raghunathan
- A Fast Vertex Weighting-Based Local Search for Finding Minimum Connected Dominating Sets pp. 817-833

- Xinyun Wu, Zhipeng Lü and Fred Glover
- Scalable Vertiport Hub Location Selection for Air Taxi Operations in a Metropolitan Region pp. 834-856

- Liting Chen, Sebastian Wandelt, Weibin Dai and Xiaoqian Sun
- Decomposition-Based Approaches for a Class of Two-Stage Robust Binary Optimization Problems pp. 857-871

- Ayşe N. Arslan and Boris Detienne
- On the Exact Solution of Prize-Collecting Steiner Tree Problems pp. 872-889

- Daniel Rehfeldt and Thorsten Koch
- A Progressive Approximation Approach for the Exact Solution of Sparse Large-Scale Binary Interdiction Games pp. 890-908

- Claudio Contardo and Jorge A. Sefair
- Branch-and-Bound for Biobjective Mixed-Integer Linear Programming pp. 909-933

- Nathan Adelgren and Akshay Gupte
- Estimating the Size of Branch-and-Bound Trees pp. 934-952

- Gregor Hendel, Daniel Anderson, Pierre Le Bodic and Marc E. Pfetsch
- Improving Column Generation for Vehicle Routing Problems via Random Coloring and Parallelization pp. 953-973

- Miao Yu, Viswanath Nagarajan and Siqian Shen
- Iterative Deepening Dynamically Improved Bounds Bidirectional Search pp. 974-989

- John A. Pavlik, Edward C. Sewell and Sheldon H. Jacobson
- Network Models for Multiobjective Discrete Optimization pp. 990-1005

- David Bergman, Merve Bodur, Carlos Cardonha and Andre A. Cire
- Optimizing over the Closure of Rank Inequalities with a Small Right-Hand Side for the Maximum Stable Set Problem via Bilevel Programming pp. 1006-1023

- Stefano Coniglio and Stefano Gualandi
- Combining Polyhedral Approaches and Stochastic Dual Dynamic Integer Programming for Solving the Uncapacitated Lot-Sizing Problem Under Uncertainty pp. 1024-1041

- Franco Quezada, Céline Gicquel and Safia Kedad-Sidhoum
- A Comparison of Two Mixed-Integer Linear Programs for Piecewise Linear Function Fitting pp. 1042-1047

- John Alasdair Warwicker and Steffen Rebennack
- Novel Formulations and Logic-Based Benders Decomposition for the Integrated Parallel Machine Scheduling and Location Problem pp. 1048-1069

- Yantong Li, Jean-François Côté, Leandro Callegari-Coelho and Peng Wu
- Models and Algorithms for the Bin-Packing Problem with Minimum Color Fragmentation pp. 1070-1085

- Saharnaz Mehrani, Carlos Cardonha and David Bergman
- Dynamic Discretization Discovery Algorithms for Time-Dependent Shortest Path Problems pp. 1086-1114

- Edward Yuhang He, Natashia Boland, George Nemhauser and Martin Savelsbergh
- An Analytic Center Cutting Plane Method to Determine Complete Positivity of a Matrix pp. 1115-1125

- Riley Badenbroek and Etienne de Klerk
- A First-Order Optimization Algorithm for Statistical Learning with Hierarchical Sparsity Structure pp. 1126-1140

- Dewei Zhang, Yin Liu and Sam Davanloo Tajbakhsh
- Stabilized Column Generation Via the Dynamic Separation of Aggregated Rows pp. 1141-1156

- Luciano Costa, Claudio Contardo, Guy Desaulniers and Julian Yarkony
- Exact Branch-Price-and-Cut for a Hospital Therapist Scheduling Problem with Flexible Service Locations and Time-Dependent Location Capacity pp. 1157-1175

- Alexander Jungwirth, Guy Desaulniers, Markus Frey and Rainer Kolisch
- Dynamic Programming for Response-Adaptive Dose-Finding Clinical Trials pp. 1176-1190

- Amir Ali Nasrollahzadeh and Amin Khademi
- Recourse in Kidney Exchange Programs pp. 1191-1206

- Bart Smeulders, Valentin Bartier, Yves Crama and Frits C. R. Spieksma
- Surgery Sequencing Coordination with Recovery Resource Constraints pp. 1207-1223

- Miao Bai, Robert H. Storer and Gregory L. Tonkay
- Managing Advance Admission Requests for Obstetric Care pp. 1224-1239

- Na Geng and Xiaolan Xie
- Scalable Optimization Methods for Incorporating Spatiotemporal Fractionation into Intensity-Modulated Radiotherapy Planning pp. 1240-1256

- Ali Adibi and Ehsan Salari
- Toward Robust Monitoring of Malicious Outbreaks pp. 1257-1271

- Shaojie Tang, Siyuan Liu, Xu Han and Yu Qiao
- Efficient Solution Methods for a General r -Interdiction Median Problem with Fortification pp. 1272-1290

- Kaike Zhang, Xueping Li and Mingzhou Jin
- Periodic Event Scheduling for Automated Production Systems pp. 1291-1304

- Christoph Helmberg, Tobias Hofmann and David Wenzel
Volume 34, issue 1, 2022
- Note from the Editor pp. 1-1

- Alice E. Smith
- Special Issue of INFORMS Journal on Computing —Scalable Reinforcement Learning Algorithms pp. 2-3

- J. Paul Brooks, Ted Ralphs and Nicola Secomandi
- Spatiotemporal Data Set for Out-of-Hospital Cardiac Arrests pp. 4-10

- Janiele E. S. C. Custodio and Miguel Lejeune
- Alfonso: Matlab Package for Nonsymmetric Conic Optimization pp. 11-19

- Dávid Papp and Sercan Yıldız
- Performance Approximation for Time-Dependent Queues with Generally Distributed Abandonments pp. 20-38

- Gregor Selinka, Raik Stolletz and Thomas I. Maindl
- Self-Learning Threshold-Based Load Balancing pp. 39-54

- Diego Goldsztajn, Sem C. Borst, Johan S. H. van Leeuwaarden, Debankur Mukherjee and Philip A. Whiting
- Parameterized Algorithms for Power-Efficiently Connecting Wireless Sensor Networks: Theory and Experiments pp. 55-75

- Matthias Bentert, René van Bevern, André Nichterlein, Rolf Niedermeier and Pavel V. Smirnov
- An Efficient Label-Correcting Algorithm for the Multiobjective Shortest Path Problem pp. 76-92

- Yannick Kergosien, Antoine Giret, Emmanuel Néron and Gaël Sauvanet
- The Star Degree Centrality Problem: A Decomposition Approach pp. 93-112

- Mustafa C. Camur, Thomas Sharkey and Chrysafis Vogiatzis
- An Analytic Framework for Effective Public Health Program Design Using Correctional Facilities pp. 113-128

- Ozgur M. Araz, Mayteé Cruz-Aponte, Fernando A. Wilson, Brock W. Hanisch and Ruth S. Margalit
- Integrated Multiresource Capacity Planning and Multitype Patient Scheduling pp. 129-149

- Liping Zhou, Na Geng, Zhibin Jiang and Shan Jiang
- Optimal Screening of Populations with Heterogeneous Risk Profiles Under the Availability of Multiple Tests pp. 150-164

- Hrayer Aprahamian and Hadi El-Amine
- Min-Max Optimal Design of Two-Armed Trials with Side Information pp. 165-182

- Qiong Zhang, Amin Khademi and Yongjia Song
- A High-Fidelity Model to Predict Length of Stay in the Neonatal Intensive Care Unit pp. 183-195

- Kanix Wang, Walid Hussain, John Birge, Michael D. Schreiber and Daniel Adelman
- Robust Optimization for Models with Uncertain Second-Order Cone and Semidefinite Programming Constraints pp. 196-210

- Jianzhe Zhen, Frans J. C. T. de Ruiter, Ernst Roos and Dick den Hertog
- Extending the Scope of Robust Quadratic Optimization pp. 211-226

- Ahmadreza Marandi, Aharon Ben-Tal, Dick den Hertog and Bertrand Melenberg
- Predicting Tactical Solutions to Operational Planning Problems Under Imperfect Information pp. 227-242

- Eric Larsen, Sébastien Lachapelle, Yoshua Bengio, Emma Frejinger, Simon Lacoste-Julien and Andrea Lodi
- Radius of Robust Feasibility for Mixed-Integer Problems pp. 243-261

- Frauke Liers, Lars Schewe and Johannes Thürauf
- Team Orienteering with Time-Varying Profit pp. 262-280

- Qinxiao Yu, Yossiri Adulyasak, Louis-Martin Rousseau, Ning Zhu and Shoufeng Ma
- Exact and Approximation Algorithms for the Expanding Search Problem pp. 281-296

- Ben Hermans, Roel Leus and Jannik Matuschke
- Integer Programming, Constraint Programming, and Hybrid Decomposition Approaches to Discretizable Distance Geometry Problems pp. 297-314

- Moira MacNeil and Merve Bodur
- Solving the Type-2 Assembly Line Balancing with Setups Using Logic-Based Benders Decomposition pp. 315-332

- Hassan Zohali, Bahman Naderi and Vahid Roshanaei
- The Value of Randomized Solutions in Mixed-Integer Distributionally Robust Optimization Problems pp. 333-353

- Erick Delage and Ahmed Saif
- State-Variable Modeling for a Class of Two-Stage Stochastic Optimization Problems pp. 354-369

- Hossein Hashemi Doulabi, Shabbir Ahmed and George Nemhauser
- Combinatorial Heuristics for Inventory Routing Problems pp. 370-384

- Ziye Tang, Yang Jiao and R. Ravi
- Predictive Search for Capacitated Multi-Item Lot Sizing Problems pp. 385-406

- Tao Wu
- A General Model and Efficient Algorithms for Reliable Facility Location Problem Under Uncertain Disruptions pp. 407-426

- Yongzhen Li, Xueping Li, Jia Shu, Miao Song and Kaike Zhang
- Template-Based Minor Embedding for Adiabatic Quantum Optimization pp. 427-439

- Thiago Serra, Teng Huang, Arvind U. Raghunathan and David Bergman
- Picker Routing in AGV-Assisted Order Picking Systems pp. 440-462

- Maximilian Löffler, Nils Boysen and Michael Schneider
- Learning for Constrained Optimization: Identifying Optimal Active Constraint Sets pp. 463-480

- Sidhant Misra, Line Roald and Yeesian Ng
- On Cluster-Aware Supervised Learning: Frameworks, Convergent Algorithms, and Applications pp. 481-502

- Shutong Chen and Weijun Xie
- Improving Reliability Estimation for Individual Numeric Predictions: A Machine Learning Approach pp. 503-521

- Gediminas Adomavicius and Yaqiong Wang
- Analyzing Firm Reports for Volatility Prediction: A Knowledge-Driven Text-Embedding Approach pp. 522-540

- Yi Yang, Kunpeng Zhang and Yangyang Fan
- Detecting Product Adoption Intentions via Multiview Deep Learning pp. 541-556

- Zhu Zhang, Xuan Wei, Xiaolong Zheng, Qiudan Li and Daniel Dajun Zeng
- Dynamic Sampling Allocation Under Finite Simulation Budget for Feasibility Determination pp. 557-568

- Zhongshun Shi, Yijie Peng, Leyuan Shi, Chun-Hung Chen and Michael C. Fu
- A Multilevel Simulation Optimization Approach for Quantile Functions pp. 569-585

- Songhao Wang, Szu Hui Ng and William Benjamin Haskell
- Speeding Up Paulson’s Procedure for Large-Scale Problems Using Parallel Computing pp. 586-606

- Ying Zhong, Shaoxuan Liu, Jun Luo and L. Jeff Hong
- Statistical Tests for Cross-Validation of Kriging Models pp. 607-621

- Jack Kleijnen and Wim C. M. van Beers
- Combined Global and Local Search for Optimization with Gaussian Process Models pp. 622-637

- Qun Meng, Songhao Wang and Szu Hui Ng
- A New Likelihood Ratio Method for Training Artificial Neural Networks pp. 638-655

- Yijie Peng, Li Xiao, Bernd Heidergott, L. Jeff Hong and Henry Lam
- The Maximum k -Colorable Subgraph Problem and Related Problems pp. 656-669

- Olga Kuryatnikova, Renata Sotirov and Juan C. Vera
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