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.
Is something missing from the series or not right? See the RePEc data check for the archive and series.

Volume 35, issue 6, 2023

Note from the Editor pp. 1215-1217

Alice E. Smith

Software for Data-Based Stochastic Programming Using Bootstrap Estimation pp. 1218-1224

Xiaotie Chen and David L. Woodruff

A Prescriptive Machine Learning Approach to Mixed-Integer Convex Optimization pp. 1225-1241

Dimitris Bertsimas and Cheol Woo Kim

Platoon Optimization Based on Truck Pairs pp. 1242-1260

Anirudh Kishore Bhoopalam, Niels Agatz and Rob Zuidwijk

Asymptotically Optimal Sampling Policy for Selecting Top- m Alternatives pp. 1261-1285

Gongbo Zhang, Yijie Peng, Jianghua Zhang and Enlu Zhou

The Hot Spot Coverage Patrol Problem: Formulations and Solution Approaches pp. 1286-1307

Yuchen Luo, Bruce Golden and Rui Zhang

Control of Dual-Sourcing Inventory Systems Using Recurrent Neural Networks pp. 1308-1328

Lucas Böttcher, Thomas Asikis and Ioannis Fragkos

P a PILO: A Parallel Presolving Library for Integer and Linear Optimization with Multiprecision Support pp. 1329-1341

Ambros Gleixner, Leona Gottwald and Alexander Hoen

Decision Rule Approaches for Pessimistic Bilevel Linear Programs Under Moment Ambiguity with Facility Location Applications pp. 1342-1360

Akshit Goyal, Yiling Zhang and Chuan He

Distributionally Robust Chance-Constrained p -Hub Center Problem pp. 1361-1382

Yue Zhao, Zhi Chen and Zhenzhen Zhang

Learning Symbolic Expressions: Mixed-Integer Formulations, Cuts, and Heuristics pp. 1383-1403

Jongeun Kim, Sven Leyffer and Prasanna Balaprakash

Recognizing Series-Parallel Matrices in Linear Time pp. 1404-1418

Matthias Walter

Overload-Checking and Edge-Finding for Robust Cumulative Scheduling pp. 1419-1438

Hamed Fahimi and Claude-Guy Quimper

A Decomposition Algorithm for Single and Multiobjective Integrated Market Selection and Production Planning pp. 1439-1453

Wilco van den Heuvel, Semra Ağralı and Z. Caner Taşkın

Tight and Compact Sample Average Approximation for Joint Chance-Constrained Problems with Applications to Optimal Power Flow pp. 1454-1469

Álvaro Porras, Concepción Domínguez, Juan Miguel Morales and Salvador Pineda

Multilevel Lot-Sizing with Inventory Bounds pp. 1470-1490

Hark-Chin Hwang, Wilco van den Heuvel and Albert P. M. Wagelmans

ℓ 0 Trend Filtering pp. 1491-1510

Canhong Wen, Xueqin Wang and Aijun Zhang

The Logarithmic Stochastic Tracing Procedure: A Homotopy Method to Compute Stationary Equilibria of Stochastic Games pp. 1511-1526

Steffen Eibelshäuser, Victor Klockmann, David Poensgen and Alicia von Schenk

Volume 35, issue 5, 2023

Note from the Editor pp. 909-909

Alice E. Smith

On Aligning Non-Order-Associated Binary Decision Diagrams pp. 910-928

Alexey A. Bochkarev and J. Cole Smith

Heterogeneous Multi-resource Planning and Allocation Under Stochastic Demand pp. 929-951

Arden Baxter, Pinar Keskinocak and Mohit Singh

Interpretable Matrix Completion: A Discrete Optimization Approach pp. 952-965

Dimitris Bertsimas and Michael Lingzhi Li

Hub Location with Protection Under Interhub Link Failures pp. 966-985

Víctor Blanco, Elena Fernández and Yolanda Hinojosa

Black-Box Attack-Based Security Evaluation Framework for Credit Card Fraud Detection Models pp. 986-1001

Jin Xiao, Yuhang Tian, Yanlin Jia, Xiaoyi Jiang, Lean Yu and Shouyang Wang

Adjustable Distributionally Robust Optimization with Infinitely Constrained Ambiguity Sets pp. 1002-1023

Haolin Ruan, Zhi Chen and Chin Pang Ho

Learning for Spatial Branching: An Algorithm Selection Approach pp. 1024-1043

Bissan Ghaddar, Ignacio Gómez-Casares, Julio González-Díaz, Brais González-Rodríguez, Beatriz Pateiro-López and Sofía Rodríguez-Ballesteros

Simultaneous Dimension Reduction and Variable Selection for Multinomial Logistic Regression pp. 1044-1060

Canhong Wen, Zhenduo Li, Ruipeng Dong, Yijin Ni and Wenliang Pan

An Interior Point–Inspired Algorithm for Linear Programs Arising in Discrete Optimal Transport pp. 1061-1078

Filippo Zanetti and Jacek Gondzio

Provably Good Solutions to the Knapsack Problem via Neural Networks of Bounded Size pp. 1079-1097

Christoph Hertrich and Martin Skutella

A Cost-Effective Sequential Route Recommender System for Taxi Drivers pp. 1098-1119

Junming Liu, Mingfei Teng, Weiwei Chen and Hui Xiong

Globalized Distributionally Robust Counterpart pp. 1120-1142

Feng Liu, Zhi Chen and Shuming Wang

The Zero Regrets Algorithm: Optimizing over Pure Nash Equilibria via Integer Programming pp. 1143-1160

Gabriele Dragotto and Rosario Scatamacchia

A Nonconvex Regularization Scheme for the Stochastic Dual Dynamic Programming Algorithm pp. 1161-1178

Arnab Bhattacharya, Jeffrey P. Kharoufeh and Bo Zeng

An Approximation Algorithm for k -Depot Split Delivery Vehicle Routing Problem pp. 1179-1194

Xiaofan Lai, Liang Xu, Zhou Xu and Yang Du

Optimising Electric Vehicle Charging Station Placement Using Advanced Discrete Choice Models pp. 1195-1213

Steven Lamontagne, Margarida Carvalho, Emma Frejinger, Bernard Gendron, Miguel F. Anjos and Ribal Atallah

Volume 35, issue 4, 2023

Note from the Editor pp. 711-712

Alice E. Smith

RSOME in Python: An Open-Source Package for Robust Stochastic Optimization Made Easy pp. 717-724

Zhi Chen and Peng Xiong

Perturbation-Based Thresholding Search for Packing Equal Circles and Spheres pp. 725-746

Xiangjing Lai, Jin-Kao Hao, Renbin Xiao and Fred Glover

An Ensemble Learning Approach with Gradient Resampling for Class-Imbalance Problems pp. 747-763

Hongke Zhao, Chuang Zhao, Xi Zhang, Nanlin Liu, Hengshu Zhu, Qi Liu and Hui Xiong

Modeling Contingent Decision Behavior: A Bayesian Nonparametric Preference-Learning Approach pp. 764-785

Jiapeng Liu, Miłosz Kadziński and Xiuwu Liao

TGVx: Dynamic Personalized POI Deep Recommendation Model pp. 786-796

Xiao-Jun Wang, Tao Liu and Weiguo Fan

Convex and Nonconvex Risk-Based Linear Regression at Scale pp. 797-816

Can Wu, Ying Cui, Donghui Li and Defeng Sun

Mixed-Integer Programming vs. Constraint Programming for Shop Scheduling Problems: New Results and Outlook pp. 817-843

Bahman Naderi, Rubén Ruiz and Vahid Roshanaei

A Prediction-Based Approach for Online Dynamic Appointment Scheduling: A Case Study in Radiotherapy Treatment pp. 844-868

Tu San Pham, Antoine Legrain, Patrick De Causmaecker and Louis-Martin Rousseau

Efficient Solution of Discrete Subproblems Arising in Integer Optimal Control with Total Variation Regularization pp. 869-885

Marvin Severitt and Paul Manns

Optimized Scenario Reduction: Solving Large-Scale Stochastic Programs with Quality Guarantees pp. 886-908

Wei Zhang, Kai Wang, Alexandre Jacquillat and Shuaian Wang

Volume 35, issue 3, 2023

Note from the Editor pp. 519-520

Alice E. Smith

Special Issue of INFORMS Journal on Computing —Quantum Computing and Operations Research pp. 521-522

Carleton Coffrin, Elisabeth Lobe, Giacomo Nannicini and Ojas Parekh

Learning Equilibria in Asymmetric Auction Games pp. 523-542

Martin Bichler, Nils Kohring and Stefan Heidekrüger

Decomposition Strategies for Vehicle Routing Heuristics pp. 543-559

Alberto Santini, Michael Schneider, Thibaut Vidal and Daniele Vigo

Online Routing Over Parallel Networks: Deterministic Limits and Data-driven Enhancements pp. 560-577

Devansh Jalota, Dario Paccagnan, Maximilian Schiffer and Marco Pavone

Optimization Problems in Graphs with Locational Uncertainty pp. 578-592

Marin Bougeret, Jérémy Omer and Michael Poss

Network Migration Problem: A Hybrid Logic-Based Benders Decomposition Approach pp. 593-613

Maryam Daryalal, Hamed Pouya and Marc Antoine DeSantis

Integrating Users’ Contextual Engagements with Their General Preferences: An Interpretable Followee Recommendation Method pp. 614-632

Yaxuan Ran, Jiani Liu and Yishi Zhang

Gradient-Based Simulation Optimization Algorithms via Multi-Resolution System Approximations pp. 633-651

Jingxu Xu and Zeyu Zheng

Optimizing over an Ensemble of Trained Neural Networks pp. 652-674

Keliang Wang, Leonardo Lozano, Carlos Cardonha and David Bergman

A Bayesian Semisupervised Approach to Keyword Extraction with Only Positive and Unlabeled Data pp. 675-691

Guanshen Wang, Yichen Cheng, Yusen Xia, Qiang Ling and Xinlei Wang

Machine Learning–Supported Prediction of Dual Variables for the Cutting Stock Problem with an Application in Stabilized Column Generation pp. 692-709

Sebastian Kraul, Markus Seizinger and Jens O. Brunner

Volume 35, issue 2, 2023

Note from the Editor pp. 265-265

Alice E. Smith

Synergies Between Operations Research and Quantum Information Science pp. 266-273

Ojas Parekh

Aircraft Conflict Resolution: A Benchmark Generator pp. 274-285

Mercedes Pelegrín and Martina Cerulli

Now You See It, Now You Don’t: Obfuscation of Online Third-Party Information Sharing pp. 286-303

Ashkan Eshghi, Ram D. Gopal, Hooman Hidaji and Raymond A. Patterson

Optimizing the Expected Maximum of Two Linear Functions Defined on a Multivariate Gaussian Distribution pp. 304-317

David Bergman, Carlos Cardonha, Jason Imbrogno and Leonardo Lozano

Reference Vector Assisted Candidate Search with Aggregated Surrogate for Computationally Expensive Many Objective Optimization Problems pp. 318-334

Wenyu Wang and Christine A. Shoemaker

Revisiting Semidefinite Programming Approaches to Options Pricing: Complexity and Computational Perspectives pp. 335-349

Didier Henrion, Felix Kirschner, Etienne De Klerk, Milan Korda, Jean-Bernard Lasserre and Victor Magron

Diagnostic Tools for Evaluating and Comparing Simulation-Optimization Algorithms pp. 350-367

David J. Eckman, Shane G. Henderson and Sara Shashaani

On Computing with Some Convex Relaxations for the Maximum-Entropy Sampling Problem pp. 368-385

Zhongzhu Chen, Marcia Fampa and Jon Lee

Convergence Analysis of Stochastic Kriging-Assisted Simulation with Random Covariates pp. 386-402

Cheng Li, Siyang Gao and Jianzhong Du

Acuity-Based Allocation of ICU-Downstream Beds with Flexible Staffing pp. 403-422

Silviya Valeva, Guodong Pang, Andrew J. Schaefer and Gilles Clermont

An Improved Integer L -Shaped Method for the Vehicle Routing Problem with Stochastic Demands pp. 423-439

Y. N. Hoogendoorn and R. Spliet

An LSTM + Model for Managing Epidemics: Using Population Mobility and Vulnerability for Forecasting COVID-19 Hospital Admissions pp. 440-457

Arindam Ray, Wolfgang Jank, Kaushik Dutta and Matthew Mullarkey

Solving AC Optimal Power Flow with Discrete Decisions to Global Optimality pp. 458-474

Kevin-Martin Aigner, Robert Burlacu, Frauke Liers and Alexander Martin

Arcflow Formulations and Constraint Generation Frameworks for the Two Bar Charts Packing Problem pp. 475-494

Mathijs Barkel and Maxence Delorme

SimOpt: A Testbed for Simulation-Optimization Experiments pp. 495-508

David J. Eckman, Shane G. Henderson and Sara Shashaani

Scalable Parallel Nonlinear Optimization with PyNumero and Parapint pp. 509-517

Jose S. Rodriguez, Robert B. Parker, Carl D. Laird, Bethany L. Nicholson, John D. Siirola and Michael L. Bynum

Volume 35, issue 1, 2023

Note from the Editor pp. 1-1

Alice Smith

Cutting Planes from the Branch-and-Bound Tree: Challenges and Opportunities pp. 2-4

Claudio Contardo, Andrea Lodi and Andrea Tramontani

py-irt: A Scalable Item Response Theory Library for Python pp. 5-13

John Patrick Lalor and Pedro Rodriguez

Branch-Cut-and-Price for the Time-Dependent Green Vehicle Routing Problem with Time Windows pp. 14-30

Yiming Liu, Yang Yu, Yu Zhang, Roberto Baldacci, Jiafu Tang, Xinggang Luo and Wei Sun

A New Exact Algorithm for Single-Commodity Vehicle Routing with Split Pickups and Deliveries pp. 31-49

Jiliu Li, Zhixing Luo, Roberto Baldacci, Hu Qin and Zhou Xu

Partial Dominance in Branch-Price-and-Cut for the Basic Multicompartment Vehicle-Routing Problem pp. 50-65

Katrin Heßler and Stefan Irnich

Policy Optimization in Dynamic Bayesian Network Hybrid Models of Biomanufacturing Processes pp. 66-82

Hua Zheng, Wei Xie, Ilya O. Ryzhov and Dongming Xie

Robust Minimum-Cost Flow Problems Under Multiple Ripple Effect Disruptions pp. 83-103

Mehdi Ansari, Juan S. Borrero and Leonardo Lozano

A Splicing Approach to Best Subset of Groups Selection pp. 104-119

Yanhang Zhang, Junxian Zhu, Jin Zhu and Xueqin Wang

Unmanned Aerial Vehicle Information Collection Missions with Uncertain Characteristics pp. 120-137

Michael D. Moskal, Erdi Dasdemir and Rajan Batta

Cost-Effective Social Media Influencer Marketing pp. 138-157

Xiao Han, Leye Wang and Weiguo Fan

Machine Learning Methods for Data-Driven Demand Estimation and Assortment Planning Considering Cross-Selling and Substitutions pp. 158-177

Zhen-Yu Chen, Zhi-Ping Fan and Minghe Sun

Robust Sourcing Under Multilevel Supply Risks: Analysis of Random Yield and Capacity pp. 178-195

Ming Zhao, Nickolas Freeman and Kai Pan

Large-Scale Inventory Optimization: A Recurrent Neural Networks–Inspired Simulation Approach pp. 196-215

Tan Wang and L. Jeff Hong

The Value of Randomized Strategies in Distributionally Robust Risk-Averse Network Interdiction Problems pp. 216-232

Utsav Sadana and Erick Delage

Parallel Power System Restoration pp. 233-247

Sunil Chopra, Feng Qiu and Sangho Shim

A Multiobjective Approach for Sector Duration Optimization in Stereotactic Radiosurgery Treatment Planning pp. 248-264

Oylum S¸eker, Mucahit Cevik, Merve Bodur, Young Lee and Mark Ruschin