- Christopher Muir, Luke Marshall, Alejandro Toriello. Temporal Bin Packing with Half-Capacity Jobs. INFORMS J. Optim., 6(1):46-62, January 2024.
- Saeed Hajizadeh, Haihao Lu, Benjamin Grimmer. On the Linear Convergence of Extragradient Methods for Nonconvex-Nonconcave Minimax Problems. INFORMS J. Optim., 6(1):19-31, January 2024.
- Editorial Board. INFORMS J. Optim., 6(1):2, January 2024.
- Peyman Kafaei, Quentin Cappart, Nicolas Chapados, Hamed Pouya, Louis-Martin Rousseau. Dynamic Routing and Wavelength Assignment with Reinforcement Learning. INFORMS J. Optim., 6(1):1-18, January 2024.
- Anna Jacobson, Filippo Pecci, Néstor Sepúlveda, Qingyu Xu, Jesse D. Jenkins. A Computationally Efficient Benders Decomposition for Energy Systems Planning Problems with Detailed Operations and Time-Coupling Constraints. INFORMS J. Optim., 6(1):32-45, January 2024.
- Nicolas Busch, Tobias Crönert, Stefan Minner, Moritz Rettinger, Burakhan Sel. Deep Learning for Commodity Procurement: Nonlinear Data-Driven Optimization of Hedging Decisions. INFORMS J. Optim., 5(3):273-294, July 2023.
- Editorial Board. INFORMS J. Optim., 5(3):2, July 2023.
- Ziye Ma, Yingjie Bi, Javad Lavaei, Somayeh Sojoudi. Geometric Analysis of Noisy Low-Rank Matrix Recovery in the Exact Parametrized and the Overparametrized Regimes. INFORMS J. Optim., 5(4):356-375, October 2023.
- Nam Ho-Nguyen, Fatma Kilinç-Karzan, Simge Küçükyavuz, Dabeen Lee. Strong Formulations for Distributionally Robust Chance-Constrained Programs with Left-Hand Side Uncertainty Under Wasserstein Ambiguity. INFORMS J. Optim., 5(2):211-232, April 2023.
- Kim Allan Andersen, Trine Krogh Boomsma, Lars Relund Nielsen. MILP Sensitivity Analysis for the Objective Function Coefficients. INFORMS J. Optim., 5(1):92-109, January 2023.