Hi everyone, the first issue of the new bi-monthly format of INFORMS Journal on Computing is available. Also included is the open call for papers for our first special issue, which is on scalable reinforcement learning.
New Issue: Table of Contents
INFORMS Journal on Computing - Volume: 34, Number: 1
The current issue of INFORMS Journal on Computing is now available online at:
http://pubsonline.informs.org/toc/ijoc/34/1
Note from the Editor
Alice E. Smith
Call for Papers
Special Issue of INFORMS Journal on Computing-Scalable Reinforcement Learning Algorithms
- Paul Brooks, Ted Ralphs, Nicola Secomandi
Research Articles
Spatiotemporal Data Set for Out-of-Hospital Cardiac Arrests
Janiele E. S. C. Custodio, Miguel A. Lejeune
Alfonso: Matlab Package for Nonsymmetric Conic Optimization
Dávid Papp, Sercan Yıldız
Performance Approximation for Time-Dependent Queues with Generally Distributed Abandonments
Gregor Selinka, Raik Stolletz, Thomas I. Maindl
Self-Learning Threshold-Based Load Balancing
Diego Goldsztajn, Sem C. Borst, Johan S. H. van Leeuwaarden, Debankur Mukherjee, Philip A. Whiting
Parameterized Algorithms for Power-Efficiently Connecting Wireless Sensor Networks: Theory and Experiments
Matthias Bentert, René van Bevern, André Nichterlein, Rolf Niedermeier, Pavel V. Smirnov
An Efficient Label-Correcting Algorithm for the Multiobjective Shortest Path Problem
Yannick Kergosien, Antoine Giret, Emmanuel Néron, Gaël Sauvanet
The Star Degree Centrality Problem: A Decomposition Approach
Mustafa C. Camur, Thomas Sharkey, Chrysafis Vogiatzis
An Analytic Framework for Effective Public Health Program Design Using Correctional Facilities
Ozgur M. Araz, Mayteé Cruz-Aponte, Fernando A. Wilson, Brock W. Hanisch, Ruth S. Margalit
Integrated Multiresource Capacity Planning and Multitype Patient Scheduling
Liping Zhou, Na Geng, Zhibin Jiang, Shan Jiang
Optimal Screening of Populations with Heterogeneous Risk Profiles Under the Availability of Multiple Tests
Hrayer Aprahamian Hadi El-Amine
Min-Max Optimal Design of Two-Armed Trials with Side Information
Qiong Zhang, Amin Khademi, Yongjia Song
A High-Fidelity Model to Predict Length of Stay in the Neonatal Intensive Care Unit
Kanix Wang, Walid Hussain, John R. Birge, Michael D. Schreiber, Daniel Adelman
Robust Optimization for Models with Uncertain Second-Order Cone and Semidefinite Programming Constraints
Jianzhe Zhen, Frans J. C. T. de Ruiter, Ernst Roos, Dick den Hertog
Extending the Scope of Robust Quadratic Optimization
Ahmadreza Marandi, Aharon Ben-Tal, Dick den Hertog, Bertrand Melenberg
Predicting Tactical Solutions to Operational Planning Problems Under Imperfect Information
Eric Larsen, Sébastien Lachapelle, Yoshua Bengio, Emma Frejinger, Simon Lacoste-Julien, Andrea Lodi
Radius of Robust Feasibility for Mixed-Integer Problems
Frauke Liers, Lars Schewe, Johannes Thürauf
Team Orienteering with Time-Varying Profit
Qinxiao Yu, Yossiri Adulyasak, Louis-Martin Rousseau, Ning Zhu, Shoufeng Ma
Exact and Approximation Algorithms for the Expanding Search Problem
Ben Hermans, Roel Leus, Jannik Matuschke
Integer Programming, Constraint Programming, and Hybrid Decomposition Approaches to Discretizable Distance Geometry Problems
Moira MacNeil, Merve Bodur
Solving the Type-2 Assembly Line Balancing with Setups Using Logic-Based Benders Decomposition
Hassan Zohali, Bahman Naderi, Vahid Roshanaei
The Value of Randomized Solutions in Mixed-Integer Distributionally Robust Optimization Problems
Erick Delage, Ahmed Saif
State-Variable Modeling for a Class of Two-Stage Stochastic Optimization Problems
Hossein Hashemi Doulabi, Shabbir Ahmed, George Nemhauser
Combinatorial Heuristics for Inventory Routing Problems
Ziye Tang, Yang Jiao, R. Ravi
Predictive Search for Capacitated Multi-Item Lot Sizing Problems
Tao Wu
A General Model and Efficient Algorithms for Reliable Facility Location Problem Under Uncertain Disruptions
Yongzhen Li, Xueping Li, Jia Shu, Miao Song, Kaike Zhang
Template-Based Minor Embedding for Adiabatic Quantum Optimization
Thiago Serra, Teng Huang, Arvind U. Raghunathan, David Bergman
Picker Routing in AGV-Assisted Order Picking Systems
Maximilian Löffler, Nils Boysen, Michael Schneider
Learning for Constrained Optimization: Identifying Optimal Active Constraint Sets
Sidhant Misra, Line Roald, Yeesian Ng
On Cluster-Aware Supervised Learning: Frameworks, Convergent Algorithms, and Applications
Shutong Chen, Weijun Xie
Improving Reliability Estimation for Individual Numeric Predictions: A Machine Learning Approach
Gediminas Adomavicius, Yaqiong Wang
Analyzing Firm Reports for Volatility Prediction: A Knowledge-Driven Text-Embedding Approach
Yi Yang, Kunpeng Zhang, Yangyang Fan
Detecting Product Adoption Intentions via Multiview Deep Learning
Zhu Zhang, Xuan Wei, Xiaolong Zheng, Qiudan Li, Daniel Dajun Zeng
Dynamic Sampling Allocation Under Finite Simulation Budget for Feasibility Determination
Zhongshun Shi, Yijie Peng, Leyuan Shi, Chun-Hung Chen, Michael C. Fu
A Multilevel Simulation Optimization Approach for Quantile Functions
Songhao Wang, Szu Hui Ng, William Benjamin Haskell
Speeding Up Paulson's Procedure for Large-Scale Problems Using Parallel Computing
Ying Zhong, Shaoxuan Liu, Jun Luo, L. Jeff Hong
Statistical Tests for Cross-Validation of Kriging Models
Jack P. C. Kleijnen, Wim C. M. van Beers
Combined Global and Local Search for Optimization with Gaussian Process Models
Qun Meng, Songhao Wang, Szu Hui Ng
A New Likelihood Ratio Method for Training Artificial Neural Networks
Yijie Peng, Li Xiao, Bernd Heidergott, L. Jeff Hong, Henry Lam
The Maximum k-Colorable Subgraph Problem and Related Problems
Olga Kuryatnikova, Renata Sotirov, Juan C. Vera
Editorial Board
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Alice Smith
Editor in Chief, INFORMS Journal on Computing
Forehand/Accenture Distinguished Professor
Auburn University
Auburn AL
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