INFORMS Journal on Computing

2017 - 2025

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Volume 37, issue 4, 2025

Note from the Editor pp. iv-viii

Alice E. Smith

An Efficient Node Selection Policy for Monte Carlo Tree Search with Neural Networks pp. 785-807

Xiaotian Liu, Yijie Peng, Gongbo Zhang and Ruihan Zhou

The Electric Vehicle Routing and Overnight Charging Scheduling Problem on a Multigraph pp. 808-830

Daniel Yamín, Guy Desaulniers and Jorge E. Mendoza

Production Planning Under Demand and Endogenous Supply Uncertainty pp. 831-855

Mike Hewitt and Giovanni Pantuso

Decision Making Under Cumulative Prospect Theory: An Alternating Direction Method of Multipliers pp. 856-873

Xiangyu Cui, Rujun Jiang, Yun Shi, Rufeng Xiao and Yifan Yan

Clustering Then Estimation of Spatio-Temporal Self-Exciting Processes pp. 874-893

Haoting Zhang, Donglin Zhan, James Anderson, Rhonda Righter and Zeyu Zheng

Deep Stacking Kernel Machines for the Data-Driven Multi-Item, One-Warehouse, Multiretailer Problems with Backlog and Lost Sales pp. 894-916

Zhen-Yu Chen and Minghe Sun

Pairwise Stability in Weighted Network Formation Games: Selection and Computation pp. 917-932

Caihua Chen, Junhao Tao and Yang Zhan

Combining Precision Boosting with LP Iterative Refinement for Exact Linear Optimization pp. 933-944

Leon Eifler, Jules Nicolas-Thouvenin and Ambros Gleixner

Forecasting Urban Traffic States with Sparse Data Using Hankel Temporal Matrix Factorization pp. 945-961

Xinyu Chen, Xi-Le Zhao and Chun Cheng

A Peaceman-Rachford Splitting Method for the Protein Side-Chain Positioning Problem pp. 962-976

Forbes Burkowski, Haesol Im and Henry Wolkowicz

Domain-Independent Dynamic Programming and Constraint Programming Approaches for Assembly Line Balancing Problems with Setups pp. 977-997

Jiachen Zhang and J. Christopher Beck

Fraud Detection by Integrating Multisource Heterogeneous Presence-Only Data pp. 998-1017

Yongqin Qiu, Yuanxing Chen, Kan Fang, Lean Yu and Kuangnan Fang

An Efficient Optimization Model and Tabu Search–Based Global Optimization Approach for the Continuous p -Dispersion Problem pp. 1018-1043

Xiangjing Lai, Zhenheng Lin, Jin-Kao Hao and Qinghua Wu

An Algorithm for Clustering with Confidence-Based Must-Link and Cannot-Link Constraints pp. 1044-1068

Philipp Baumann and Dorit S. Hochbaum

On Interdicting Dense Clusters in a Network pp. 1069-1086

Haonan Zhong, Foad Mahdavi Pajouh, Sergiy Butenko and Oleg A. Prokopyev

Simulating Confidence Intervals for Conditional Value-at-Risk via Least-Squares Metamodels pp. 1087-1105

Qidong Lai, Guangwu Liu, Bingfeng Zhang and Kun Zhang

A New Approximation Algorithm for Minimum-Weight ( 1, m ) –Connected Dominating Set pp. 1106-1120

Jiao Zhou, Yingli Ran, Panos M. Pardalos, Zhao Zhang, Shaojie Tang and Ding-Zhu Du

On Discrete Subproblems in Integer Optimal Control with Total Variation Regularization in Two Dimensions pp. 1121-1141

Paul Manns and Marvin Severitt

Volume 37, issue 3, 2025

Note from the Editor pp. iii-iii

Alice E. Smith

Microgrid Planner: An Open-Source Software Platform pp. 503-515

Daniel Reich and Leah Frye

py J ed AI: A Library with Resolution-Related Structures and Procedures for Products pp. 516-530

Ekaterini Ioannou, Konstantinos Nikoletos and George Papadakis

Learning Hidden Markov Models with Structured Transition Dynamics pp. 531-556

Simin Ma, Amin Dehghanian, Gian-Gabriel Garcia and Nicoleta Serban

First-Order Algorithms for Robust Optimization Problems via Convex-Concave Saddle-Point Lagrangian Reformulation pp. 557-581

Krzysztof Postek and Shimrit Shtern

Exact and Approximation Algorithms for Sparse Principal Component Analysis pp. 582-602

Yongchun Li and Weijun Xie

A Model-Free Approach for Solving Choice-Based Competitive Facility Location Problems Using Simulation and Submodularity pp. 603-622

Robin Legault and Emma Frejinger

Multiobjective Linear Ensembles for Robust and Sparse Training of Few-Bit Neural Networks pp. 623-643

Ambrogio Maria Bernardelli, Stefano Gualandi, Simone Milanesi, Hoong Chuin Lau and Neil Yorke-Smith

Machine Learning for K -Adaptability in Two-Stage Robust Optimization pp. 644-665

Esther Julien, Krzysztof Postek and Ş. İlker Birbil

Computing Optimal Strategies for a Search Game in Discrete Locations pp. 666-683

Jake Clarkson and Kyle Y. Lin

Controlling Homophily in Social Network Regression Analysis by Machine Learning pp. 684-702

Xuanqi Liu and Ke-Wei Huang

Ranking Model Averaging: Ranking Based on Model Averaging pp. 703-722

Ziheng Feng, Baihua He, Tianfa Xie, Xinyu Zhang and Xianpeng Zong

Efficient Nested Simulation Experiment Design via the Likelihood Ratio Method pp. 723-742

Ben Mingbin Feng and Eunhye Song

An Efficient Scenario Reduction Method for Problems with Higher Moment Coherent Risk Measures pp. 743-760

Xiaolei He and Weiguo Zhang

Efficient Project Scheduling with Autonomous Learning Opportunities pp. 761-783

Alessandro Hill and Thomas W. M. Vossen

Volume 37, issue 2, 2025

Note from the Editor pp. 197-198

Alice E. Smith

Solving the Minimum Sum Coloring Problem: Alternative Models, Exact Solvers, and Metaheuristics pp. 199-211

Yu Du, Fred Glover, Gary Kochenberger, Rick Hennig, Haibo Wang and Amit Hulandageri

Stochastic First-Order Algorithms for Constrained Distributionally Robust Optimization pp. 212-229

Hyungki Im and Paul Grigas

Ranking Decomposition for the Discrete Ordered Median Problem pp. 230-248

Marilène Cherkesly, Claudio Contardo and Matthieu Gruson

Models for Test Cost Minimization in Database Migration pp. 249-269

Bugra Caskurlu, K. Subramani, Utku Umur Acikalin, Alvaro Velasquez and Piotr Wojciechowski

Comparisons of Two-Stage Models for Flood Mitigation of Electrical Substations pp. 270-292

Brent Austgen, Erhan Kutanoglu, John J. Hasenbein and Surya Santoso

Coordinating Charging Request Allocation Between Self-Interested Navigation Service Platforms pp. 293-314

Marianne Guillet and Maximilian Schiffer

Transfer Reinforcement Learning for Mixed Observability Markov Decision Processes with Time-Varying Interval-Valued Parameters and Its Application in Pandemic Control pp. 315-337

Mu Du, Hongtao Yu and Nan Kong

An Enhanced Alternating Direction Method of Multipliers-Based Interior Point Method for Linear and Conic Optimization pp. 338-359

Qi Deng, Qing Feng, Wenzhi Gao, Dongdong Ge, Bo Jiang, Yuntian Jiang, Jingsong Liu, Tianhao Liu, Chenyu Xue, Yinyu Ye and Chuwen Zhang

Online Integrated Production and Distribution Scheduling: Review and Extensions pp. 360-380

Zhi-Long Chen

The Terminator: An Integration of Inner and Outer Approximations for Solving Wasserstein Distributionally Robust Chance Constrained Programs via Variable Fixing pp. 381-412

Nan Jiang and Weijun Xie

Satisficing Approach to On-Demand Ride Matching pp. 413-427

Dongling Rong, Xinyu Sun, Meilin Zhang and Shuangchi He

Robust Parallel Pursuit for Large-Scale Association Network Learning pp. 428-445

Wenhui Li, Xin Zhou, Ruipeng Dong and Zemin Zheng

Efficient and Flexible Long-Tail Recommendation Using Cosine Patterns pp. 446-464

Yaqiong Wang, Junjie Wu, Zhiang Wu and Gediminas Adomavicius

A Fusion Pretrained Approach for Identifying the Cause of Sarcasm Remarks pp. 465-479

Qiudan Li, David Jingjun Xu, Haoda Qian, Linzi Wang, Minjie Yuan and Daniel Dajun Zeng

An Intelligent End-to-End Neural Architecture Search Framework for Electricity Forecasting Model Development pp. 480-501

Jin Yang, Guangxin Jiang, Yinan Wang and Ying Chen

Volume 37, issue 1, 2025

Note from the Editor pp. 1-1

Alice E. Smith

Introduction to the Special Issue on Quantum Computing and Operations Research pp. 2-2

Carleton Coffrin, Elisabeth Lobe, Giacomo Nannicini and Ojas Parekh

Efficient Implementation of Interior-Point Methods for Quantum Relative Entropy pp. 3-21

Mehdi Karimi and Levent Tunçel

Optimized Noise Suppression for Quantum Circuits pp. 22-41

Friedrich Wagner, Daniel J. Egger and Frauke Liers

A New Multicommodity Network Flow Model and Branch and Cut for Optimal Quantum Boolean Circuit Synthesis pp. 42-62

Jihye Jung and In-Chan Choi

A Novel Noise-Aware Classical Optimizer for Variational Quantum Algorithms pp. 63-85

Jeffrey Larson, Matt Menickelly and Jiahao Shi

Binary Quantum Control Optimization with Uncertain Hamiltonians pp. 86-106

Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer and Siqian Shen

QHDOPT: A Software for Nonlinear Optimization with Quantum Hamiltonian Descent pp. 107-124

Samuel Kushnir, Jiaqi Leng, Yuxiang Peng, Lei Fan and Xiaodi Wu

Two-Stage Estimation and Variance Modeling for Latency-Constrained Variational Quantum Algorithms pp. 125-145

Yunsoo Ha, Sara Shashaani and Matt Menickelly

On the Instance Dependence of Parameter Initialization for the Quantum Approximate Optimization Algorithm: Insights via Instance Space Analysis pp. 146-171

Vivek Katial, Kate Smith-Miles, Charles Hill and Lloyd Hollenberg

A Quantum-Inspired Bilevel Optimization Algorithm for the First Responder Network Design Problem pp. 172-188

Anthony Karahalios, Sridhar Tayur, Ananth Tenneti, Amirreza Pashapour, F. Sibel Salman and Barış Yıldız