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ORCIDINFORMS Journal on Computing, Volume 35
Volume 35, Number 1, 2023
- Editorial Board. 2-
- Alice E. Smith
:
Note from the Editor. 1 - Claudio Contardo, Andrea Lodi, Andrea Tramontani:
Cutting Planes from the Branch-and-Bound Tree: Challenges and Opportunities. 2-4 - John Patrick Lalor, Pedro Rodríguez:
py-irt: A Scalable Item Response Theory Library for Python. 5-13 - Yiming Liu, Yang Yu, Yu Zhang, Roberto Baldacci, Jiafu Tang, Xinggang Luo, Wei Sun:
Branch-Cut-and-Price for the Time-Dependent Green Vehicle Routing Problem with Time Windows. 14-30 - Jiliu Li, Zhixing Luo, Roberto Baldacci, Hu Qin, Zhou Xu:
A New Exact Algorithm for Single-Commodity Vehicle Routing with Split Pickups and Deliveries. 31-49 - Katrin Heßler, Stefan Irnich:
Partial Dominance in Branch-Price-and-Cut for the Basic Multicompartment Vehicle-Routing Problem. 50-65 - Hua Zheng, Wei Xie, Ilya O. Ryzhov, Dongming Xie:
Policy Optimization in Dynamic Bayesian Network Hybrid Models of Biomanufacturing Processes. 66-82 - Mehdi Ansari, Juan Sebastian Borrero, Leonardo Lozano:
Robust Minimum-Cost Flow Problems Under Multiple Ripple Effect Disruptions. 83-103 - Yanhang Zhang, Junxian Zhu, Jin Zhu, Xueqin Wang:
A Splicing Approach to Best Subset of Groups Selection. 104-119 - Michael D. Moskal, Erdi Dasdemir, Rajan Batta:
Unmanned Aerial Vehicle Information Collection Missions with Uncertain Characteristics. 120-137 - Xiao Han, Leye Wang, Weiguo Fan:
Cost-Effective Social Media Influencer Marketing. 138-157 - Zhen-Yu Chen, Zhi-Ping Fan, Minghe Sun:
Machine Learning Methods for Data-Driven Demand Estimation and Assortment Planning Considering Cross-Selling and Substitutions. 158-177 - Ming Zhao, Nickolas K. Freeman, Kai Pan:
Robust Sourcing Under Multilevel Supply Risks: Analysis of Random Yield and Capacity. 178-195 - Tan Wang, L. Jeff Hong:
Large-Scale Inventory Optimization: A Recurrent Neural Networks-Inspired Simulation Approach. 196-215 - Utsav Sadana, Erick Delage:
The Value of Randomized Strategies in Distributionally Robust Risk-Averse Network Interdiction Problems. 216-232 - Sunil Chopra, Feng Qiu, Sangho Shim:
Parallel Power System Restoration. 233-247 - Oylum Seker, Mucahit Cevik, Merve Bodur, Young Lee, Mark Ruschin:
A Multiobjective Approach for Sector Duration Optimization in Stereotactic Radiosurgery Treatment Planning. 248-264
Volume 35, Number 2, 2023
- Editorial Board. 2-
- Alice E. Smith:
Note from the Editor. 265 - Ojas Parekh:
Synergies Between Operations Research and Quantum Information Science. 266-273 - Mercedes Pelegrín, Martina Cerulli:
Aircraft Conflict Resolution: A Benchmark Generator. 274-285 - Ashkan Eshghi, Ram D. Gopal, Hooman Hidaji, Raymond A. Patterson:
Now You See It, Now You Don't: Obfuscation of Online Third-Party Information Sharing. 286-303 - David Bergman, Carlos Cardonha, Jason Imbrogno, Leonardo Lozano:
Optimizing the Expected Maximum of Two Linear Functions Defined on a Multivariate Gaussian Distribution. 304-317 - Wenyu Wang, Christine A. Shoemaker:
Reference Vector Assisted Candidate Search with Aggregated Surrogate for Computationally Expensive Many Objective Optimization Problems. 318-334 - Didier Henrion, Felix Kirschner, Etienne de Klerk, Milan Korda, Jean-Bernard Lasserre, Victor Magron:
Revisiting Semidefinite Programming Approaches to Options Pricing: Complexity and Computational Perspectives. 335-349 - David J. Eckman, Shane G. Henderson, Sara Shashaani:
Diagnostic Tools for Evaluating and Comparing Simulation-Optimization Algorithms. 350-367 - Zhongzhu Chen, Marcia Fampa, Jon Lee:
On Computing with Some Convex Relaxations for the Maximum-Entropy Sampling Problem. 368-385 - Cheng Li, Siyang Gao, Jianzhong Du:
Convergence Analysis of Stochastic Kriging-Assisted Simulation with Random Covariates. 386-402 - Silviya Valeva, Guodong Pang, Andrew J. Schaefer, Gilles Clermont:
Acuity-Based Allocation of ICU-Downstream Beds with Flexible Staffing. 403-422 - Ymro Nils Hoogendoorn, Remy Spliet:
An Improved Integer L-Shaped Method for the Vehicle Routing Problem with Stochastic Demands. 423-439 - Arindam Ray, Wolfgang Jank, Kaushik Dutta, Matthew Mullarkey:
An LSTM+ Model for Managing Epidemics: Using Population Mobility and Vulnerability for Forecasting COVID-19 Hospital Admissions. 440-457 - Kevin-Martin Aigner, Robert Burlacu, Frauke Liers, Alexander Martin:
Solving AC Optimal Power Flow with Discrete Decisions to Global Optimality. 458-474 - Mathijs Barkel, Maxence Delorme:
Arcflow Formulations and Constraint Generation Frameworks for the Two Bar Charts Packing Problem. 475-494 - David J. Eckman, Shane G. Henderson, Sara Shashaani:
SimOpt: A Testbed for Simulation-Optimization Experiments. 495-508 - Jose S. Rodriguez, Robert B. Parker, Carl D. Laird, Bethany Nicholson, John D. Siirola, Michael Bynum:
Scalable Parallel Nonlinear Optimization with PyNumero and Parapint. 509-517
Volume 35, Number 3, 2023
- Editorial Board. 2-
- Alice E. Smith:
Note from the Editor. 519-520 - Carleton Coffrin, Elisabeth Lobe, Giacomo Nannicini, Ojas Parekh:
Special Issue of INFORMS Journal on Computing - Quantum Computing and Operations Research. 521-522 - Martin Bichler, Nils Kohring, Stefan Heidekrüger:
Learning Equilibria in Asymmetric Auction Games. 523-542 - Alberto Santini, Michael Schneider, Thibaut Vidal, Daniele Vigo:
Decomposition Strategies for Vehicle Routing Heuristics. 543-559 - Devansh Jalota, Dario Paccagnan, Maximilian Schiffer, Marco Pavone:
Online Routing Over Parallel Networks: Deterministic Limits and Data-driven Enhancements. 560-577 - Marin Bougeret, Jérémy Omer, Michael Poss:
Optimization Problems in Graphs with Locational Uncertainty. 578-592 - Maryam Daryalal, Hamed Pouya, Marc Antoine Desantis:
Network Migration Problem: A Hybrid Logic-Based Benders Decomposition Approach. 593-613 - Yaxuan Ran, Jiani Liu, Yishi Zhang:
Integrating Users' Contextual Engagements with Their General Preferences: An Interpretable Followee Recommendation Method. 614-632 - Jingxu Xu, Zeyu Zheng:
Gradient-Based Simulation Optimization Algorithms via Multi-Resolution System Approximations. 633-651 - Keliang Wang, Leonardo Lozano, Carlos Cardonha, David Bergman:
Optimizing over an Ensemble of Trained Neural Networks. 652-674 - Guanshen Wang, Yichen Cheng, Yusen Xia, Qiang Ling, Xinlei Wang:
A Bayesian Semisupervised Approach to Keyword Extraction with Only Positive and Unlabeled Data. 675-691 - Sebastian Kraul, Markus Seizinger, Jens O. Brunner:
Machine Learning-Supported Prediction of Dual Variables for the Cutting Stock Problem with an Application in Stabilized Column Generation. 692-709
Volume 35, Number 4, 2023
- Editorial Board. 2-
- Alice E. Smith:
Note from the Editor. 711-712 - Call for Papers - INFORMS Journal on Computing: Special Issue on Responsible AI and Data Science for Social Good. 713-716
- Zhi Chen, Peng Xiong:
RSOME in Python: An Open-Source Package for Robust Stochastic Optimization Made Easy. 717-724 - Xiangjing Lai, Jin-Kao Hao, Renbin Xiao, Fred W. Glover:
Perturbation-Based Thresholding Search for Packing Equal Circles and Spheres. 725-746 - Hongke Zhao, Chuang Zhao, Xi Zhang, Nanlin Liu, Hengshu Zhu, Qi Liu, Hui Xiong:
An Ensemble Learning Approach with Gradient Resampling for Class-Imbalance Problems. 747-763 - Jiapeng Liu, Milosz Kadzinski, Xiuwu Liao:
Modeling Contingent Decision Behavior: A Bayesian Nonparametric Preference-Learning Approach. 764-785 - Xiao-Jun Wang, Tao Liu, Weiguo Fan:
TGVx: Dynamic Personalized POI Deep Recommendation Model. 786-796 - Can Wu, Ying Cui, Donghui Li, Defeng Sun:
Convex and Nonconvex Risk-Based Linear Regression at Scale. 797-816 - Bahman Naderi, Rubén Ruiz, Vahid Roshanaei:
Mixed-Integer Programming vs. Constraint Programming for Shop Scheduling Problems: New Results and Outlook. 817-843 - Tu-San Pham, Antoine Legrain, Patrick De Causmaecker, Louis-Martin Rousseau:
A Prediction-Based Approach for Online Dynamic Appointment Scheduling: A Case Study in Radiotherapy Treatment. 844-868 - Marvin Severitt, Paul Manns:
Efficient Solution of Discrete Subproblems Arising in Integer Optimal Control with Total Variation Regularization. 869-885 - Wei Zhang, Kai Wang, Alexandre Jacquillat, Shuaian Wang:
Optimized Scenario Reduction: Solving Large-Scale Stochastic Programs with Quality Guarantees. 886-908
Volume 35, Number 5, 2023
- Editorial Board. 2-
- Alice E. Smith:
Note from the Editor. 909 - Alexey A. Bochkarev, J. Cole Smith:
On Aligning Non-Order-Associated Binary Decision Diagrams. 910-928 - Arden Baxter, Pinar Keskinocak, Mohit Singh:
Heterogeneous Multi-resource Planning and Allocation Under Stochastic Demand. 929-951 - Dimitris Bertsimas, Michael Lingzhi Li:
Interpretable Matrix Completion: A Discrete Optimization Approach. 952-965 - Víctor Blanco, Elena Fernández, Yolanda Hinojosa:
Hub Location with Protection Under Interhub Link Failures. 966-985 - Jin Xiao, Yuhang Tian, Yanlin Jia, Xiaoyi Jiang, Lean Yu, Shouyang Wang:
Black-Box Attack-Based Security Evaluation Framework for Credit Card Fraud Detection Models. 986-1001 - Haolin Ruan, Zhi Chen, Chin Pang Ho:
Adjustable Distributionally Robust Optimization with Infinitely Constrained Ambiguity Sets. 1002-1023 - Bissan Ghaddar, Ignacio Gómez-Casares, Julio González-Díaz, Brais González-Rodríguez, Beatriz Pateiro-López, Sofía Rodríguez-Ballesteros:
Learning for Spatial Branching: An Algorithm Selection Approach. 1024-1043 - Canhong Wen, Zhenduo Li, Ruipeng Dong, Yijin Ni, Wenliang Pan:
Simultaneous Dimension Reduction and Variable Selection for Multinomial Logistic Regression. 1044-1060 - Filippo Zanetti, Jacek Gondzio:
An Interior Point-Inspired Algorithm for Linear Programs Arising in Discrete Optimal Transport. 1061-1078 - Christoph Hertrich, Martin Skutella:
Provably Good Solutions to the Knapsack Problem via Neural Networks of Bounded Size. 1079-1097 - Junming Liu, Mingfei Teng, Weiwei Chen, Hui Xiong:
A Cost-Effective Sequential Route Recommender System for Taxi Drivers. 1098-1119 - Feng Liu, Zhi Chen, Shuming Wang:
Globalized Distributionally Robust Counterpart. 1120-1142 - Gabriele Dragotto, Rosario Scatamacchia:
The Zero Regrets Algorithm: Optimizing over Pure Nash Equilibria via Integer Programming. 1143-1160 - Arnab Bhattacharya, Jeffrey P. Kharoufeh, Bo Zeng:
A Nonconvex Regularization Scheme for the Stochastic Dual Dynamic Programming Algorithm. 1161-1178 - Xiaofan Lai, Liang Xu, Zhou Xu, Yang Du:
An Approximation Algorithm for k-Depot Split Delivery Vehicle Routing Problem. 1179-1194 - Steven Lamontagne, Margarida Carvalho, Emma Frejinger, Bernard Gendron, Miguel F. Anjos, Ribal Atallah:
Optimising Electric Vehicle Charging Station Placement Using Advanced Discrete Choice Models. 1195-1213
Volume 35, Number 6, 2023
- Editorial Board. 2-
- Alice E. Smith:
Note from the Editor. 1215-1217 - Xiaotie Chen, David L. Woodruff:
Software for Data-Based Stochastic Programming Using Bootstrap Estimation. 1218-1224 - Dimitris Bertsimas, Cheol Woo Kim:
A Prescriptive Machine Learning Approach to Mixed-Integer Convex Optimization. 1225-1241 - Anirudh Kishore Bhoopalam, Niels A. H. Agatz, Rob A. Zuidwijk:
Platoon Optimization Based on Truck Pairs. 1242-1260 - Gongbo Zhang, Yijie Peng, Jianghua Zhang, Enlu Zhou:
Asymptotically Optimal Sampling Policy for Selecting Top-m Alternatives. 1261-1285 - Yuchen Luo, Bruce L. Golden, Rui Zhang:
The Hot Spot Coverage Patrol Problem: Formulations and Solution Approaches. 1286-1307 - Lucas Böttcher, Thomas Asikis, Ioannis Fragkos:
Control of Dual-Sourcing Inventory Systems Using Recurrent Neural Networks. 1308-1328 - Ambros M. Gleixner, Leona Gottwald, Alexander Hoen:
PaPILO: A Parallel Presolving Library for Integer and Linear Optimization with Multiprecision Support. 1329-1341 - Akshit Goyal, Yiling Zhang, Chuan He:
Decision Rule Approaches for Pessimistic Bilevel Linear Programs Under Moment Ambiguity with Facility Location Applications. 1342-1360 - Yue Zhao, Zhi Chen, Zhenzhen Zhang:
Distributionally Robust Chance-Constrained p-Hub Center Problem. 1361-1382 - Jongeun Kim, Sven Leyffer, Prasanna Balaprakash:
Learning Symbolic Expressions: Mixed-Integer Formulations, Cuts, and Heuristics. 1383-1403 - Matthias Walter:
Recognizing Series-Parallel Matrices in Linear Time. 1404-1418 - Hamed Fahimi, Claude-Guy Quimper:
Overload-Checking and Edge-Finding for Robust Cumulative Scheduling. 1419-1438 - Wilco van den Heuvel, Semra Agrali, Z. Caner Taskin:
A Decomposition Algorithm for Single and Multiobjective Integrated Market Selection and Production Planning. 1439-1453 - Álvaro Porras, Concepción Domínguez, Juan Miguel Morales, Salvador Pineda:
Tight and Compact Sample Average Approximation for Joint Chance-Constrained Problems with Applications to Optimal Power Flow. 1454-1469 - Hark-Chin Hwang, Wilco van den Heuvel, Albert P. M. Wagelmans:
Multilevel Lot-Sizing with Inventory Bounds. 1470-1490 - Canhong Wen, Xueqin Wang, Aijun Zhang:
ℓ0 Trend Filtering. 1491-1510 - Steffen Eibelshäuser, Victor Klockmann, David Poensgen, Alicia von Schenk:
The Logarithmic Stochastic Tracing Procedure: A Homotopy Method to Compute Stationary Equilibria of Stochastic Games. 1511-1526 - Appreciation to Reviewers, 2023. 1527-1532
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