Operations Research

1952 - 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 73, issue 2, 2025

Search for an Immobile Hider on a Binary Tree with Unreliable Locational Information pp. 583-594

Steve Alpern and Thomas Lidbetter

Robust Workforce Management with Crowdsourced Delivery pp. 595-612

Chun Cheng, Melvyn Sim and Yue Zhao

Budget-Driven Multiperiod Hub Location: A Robust Time-Series Approach pp. 613-631

Jie Hu, Zhi Chen and Shuming Wang

Monetizing Positive Externalities to Mitigate the Infrastructure Underinvestment Problem pp. 632-647

Hao Bai, Alain Bensoussan, Gordon Briest and Benoît Chevalier-Roignant

Generalization Guarantees for Multi-Item Profit Maximization: Pricing, Auctions, and Randomized Mechanisms pp. 648-663

Maria-Florina Balcan, Tuomas Sandholm and Ellen Vitercik

Asymptotically Tight Bounds on the Optimal Pricing Strategy with Patient Customers pp. 664-671

Shuaijie Qian, Xizhi Su and Chao Zhou

Ordinary and Prophet Planning Under Uncertainty in Bernoulli Congestion Games pp. 672-688

Roberto Cominetti, Marco Scarsini, Marc Schröder and Nicolas E. Stier-Moses

On (Random-Order) Online Contention Resolution Schemes for the Matching Polytope of (Bipartite) Graphs pp. 689-703

Calum MacRury, Will Ma and Nathaniel Grammel

Efficient Algorithms for a Class of Stochastic Hidden Convex Optimization and Its Applications in Network Revenue Management pp. 704-719

Xin Chen, Niao He, Yifan Hu and Zikun Ye

Structural Estimation of Markov Decision Processes in High-Dimensional State Space with Finite-Time Guarantees pp. 720-737

Siliang Zeng, Mingyi Hong and Alfredo Garcia

EFX: A Simpler Approach and an (Almost) Optimal Guarantee via Rainbow Cycle Number pp. 738-751

Hannaneh Akrami, Noga Alon, Bhaskar Ray Chaudhury, Jugal Garg, Kurt Mehlhorn and Ruta Mehta

Political Districting to Minimize County Splits pp. 752-774

Maral Shahmizad and Austin Buchanan

Temporal Fairness in Learning and Earning: Price Protection Guarantee and Phase Transitions pp. 775-797

Qing Feng, Ruihao Zhu and Stefanus Jasin

Stochastic Online Fisher Markets: Static Pricing Limits and Adaptive Enhancements pp. 798-818

Devansh Jalota and Yinyu Ye

Technical Note—On Adaptivity in Nonstationary Stochastic Optimization with Bandit Feedback pp. 819-828

Yining Wang

Technical Note—A Data-Driven Approach to Beating SAA Out of Sample pp. 829-841

Jun-ya Gotoh, Michael Jong Kim and Andrew E. B. Lim

Improved Decision Rule Approximations for Multistage Robust Optimization via Copositive Programming pp. 842-861

Guanglin Xu and Grani A. Hanasusanto

A Unified Theory of Robust and Distributionally Robust Optimization via the Primal-Worst-Equals-Dual-Best Principle pp. 862-878

Jianzhe Zhen, Daniel Kuhn and Wolfram Wiesemann

Multivariate Almost Stochastic Dominance: Transfer Characterizations and Sufficient Conditions Under Dependence Uncertainty pp. 879-893

Alfred Müller, Marco Scarsini, Ilia Tsetlin and Robert L. Winkler

Learning and Optimization with Seasonal Patterns pp. 894-909

Ningyuan Chen, Chun Wang and Longlin Wang

A Doubly Stochastic Simulator with Applications in Arrivals Modeling and Simulation pp. 910-926

Yufeng Zheng, Zeyu Zheng and Tingyu Zhu

Stochastic Localization Methods for Convex Discrete Optimization via Simulation pp. 927-948

Haixiang Zhang, Zeyu Zheng and Javad Lavaei

Customer Scheduling in Large Service Systems Under Model Uncertainty pp. 949-968

Shiwei Chai, Xu Sun and Hossein Abouee-Mehrizi

Distributionally Robust Optimization Under Distorted Expectations pp. 969-985

Jun Cai, Jonathan Yu-Meng Li and Tiantian Mao

Technical Note—Improved Sample-Complexity Bounds in Stochastic Optimization pp. 986-994

Alok Baveja, Amit Chavan, Andrei Nikiforov, Aravind Srinivasan and Pan Xu

Online Matching Frameworks Under Stochastic Rewards, Product Ranking, and Unknown Patience pp. 995-1010

Brian Brubach, Nathaniel Grammel, Will Ma and Aravind Srinivasan

Mixed-Integer Optimization with Constraint Learning pp. 1011-1028

Donato Maragno, Holly Wiberg, Dimitris Bertsimas, Ş. İlker Birbil, Dick den Hertog and Adejuyigbe O. Fajemisin

Fluid Policies, Reoptimization, and Performance Guarantees in Dynamic Resource Allocation pp. 1029-1045

David B. Brown and Jingwei Zhang

Inverse Optimization: Theory and Applications pp. 1046-1074

Timothy C. Y. Chan, Rafid Mahmood and Ian Yihang Zhu

Linear Classifiers Under Infinite Imbalance pp. 1075-1101

Paul Glasserman and Mike Li

Computing Bayes–Nash Equilibrium Strategies in Auction Games via Simultaneous Online Dual Averaging pp. 1102-1127

Martin Bichler, Max Fichtl and Matthias Oberlechner

Recovering Dantzig–Wolfe Bounds by Cutting Planes pp. 1128-1142

Rui Chen, Oktay Günlük and Andrea Lodi

Technical Note—On the Convergence Rate of Stochastic Approximation for Gradient-Based Stochastic Optimization pp. 1143-1150

Jiaqiao Hu and Michael C. Fu

Volume 73, issue 1, 2025

Error Propagation in Asymptotic Analysis of the Data-Driven ( s, S ) Inventory Policy pp. 1-21

Xun Zhang, Zhi-Sheng Ye and William B. Haskell

Application-Driven Learning: A Closed-Loop Prediction and Optimization Approach Applied to Dynamic Reserves and Demand Forecasting pp. 22-39

Joaquim Dias Garcia, Alexandre Street, Tito Homem- de-Mello and Francisco D. Muñoz

Preventing Price-Mediated Contagion Due to Fire Sales Externalities: Strategic Foundations of Macroprudential Regulation pp. 40-60

Yann Braouezec and Keyvan Kiani

Improving the Security of United States Elections with Robust Optimization pp. 61-85

Braden L. Crimmins, J. Alex Halderman and Bradley Sturt

Drone-Delivery Network for Opioid Overdose: Nonlinear Integer Queueing-Optimization Models and Methods pp. 86-108

Miguel Lejeune and Wenbo Ma

Online Learning for Constrained Assortment Optimization Under Markov Chain Choice Model pp. 109-138

Shukai Li, Qi Luo, Zhiyuan Huang and Cong Shi

The Role of Lookahead and Approximate Policy Evaluation in Reinforcement Learning with Linear Value Function Approximation pp. 139-156

Anna Winnicki, Joseph Lubars, Michael Livesay and R. Srikant

Price Interpretability of Prediction Markets: A Convergence Analysis pp. 157-177

Jianjun Gao, Zizhuo Wang, Weiping Wu and Dian Yu

Pricing Optimal Outcomes in Coupled and Non-Convex Markets: Theory and Applications to Electricity Markets pp. 178-193

Mete Şeref Ahunbay, Martin Bichler and Johannes Knörr

Learning to Persuade on the Fly: Robustness Against Ignorance pp. 194-208

You Zu, Krishnamurthy Iyer and Haifeng Xu

Optimal No-Regret Learning in Repeated First-Price Auctions pp. 209-238

Yanjun Han, Tsachy Weissman and Zhengyuan Zhou

Technical Note—A New Rate-Optimal Sampling Allocation for Linear Belief Models pp. 239-250

Jiaqi Zhou and Ilya O. Ryzhov

Technical Note—Conic Mixed-Binary Sets: Convex Hull Characterizations and Applications pp. 251-269

Fatma Kılınç-Karzan, Simge Küçükyavuz, Dabeen Lee and Soroosh Shafieezadeh-Abadeh

Technical Note—A Stationary Infinite-Horizon Supply Contract Under Asymmetric Inventory Information pp. 270-277

Alain Bensoussan, Suresh Sethi and Shouqiang Wang

Technical Note—Online Matching with Bayesian Rewards pp. 278-289

David Simchi-Levi, Rui Sun and Xinshang Wang

Behavior-Aware Queueing: The Finite-Buffer Setting with Many Strategic Servers pp. 290-310

Yueyang Zhong, Ragavendran Gopalakrishnan and Amy R. Ward

Projective Hedging Algorithms for Multistage Stochastic Programming, Supporting Distributed and Asynchronous Implementation pp. 311-324

Jonathan Eckstein, Jean-Paul Watson and David L. Woodruff

Achieving Efficiency in Black-Box Simulation of Distribution Tails with Self-Structuring Importance Samplers pp. 325-343

Anand Deo and Karthyek Murthy

Scores for Multivariate Distributions and Level Sets pp. 344-362

Xiaochun Meng, James W. Taylor, Souhaib Ben Taieb and Siran Li

Expanding Service Capabilities Through an On-Demand Workforce pp. 363-384

Xu Sun and Weiliang Liu

Gaussian Process-Based Random Search for Continuous Optimization via Simulation pp. 385-407

Xiuxian Wang, L. Jeff Hong, Zhibin Jiang and Haihui Shen

Competitive Algorithms for the Online Minimum Peak Job Scheduling pp. 408-423

Célia Escribe, Michael Hu and Retsef Levi

Contextual Inverse Optimization: Offline and Online Learning pp. 424-443

Omar Besbes, Yuri Fonseca and Ilan Lobel

Strategic Pricing in Volatile Markets pp. 444-460

Sebastian Gryglewicz and Aaron Kolb

The When and How of Delegated Search pp. 461-482

Saša Zorc, Ilia Tsetlin, Sameer Hasija and Stephen E. Chick

Optimal Routing to Parallel Servers in Heavy Traffic pp. 483-509

Heng-Qing Ye

Optimal Routing Under Demand Surges: The Value of Future Arrival Rates pp. 510-542

Jinsheng Chen, Jing Dong and Pengyi Shi

Shape-Constrained Regression Using Sum of Squares Polynomials pp. 543-559

Mihaela Curmei and Georgina Hall

On the Optimality of Greedy Policies in Dynamic Matching pp. 560-582

Süleyman Kerimov, Itai Ashlagi and Itai Gurvich