| 2026 | Large Neighborhood Search Meets Iterative Neural Constraint Heuristics. | Yudong W. Xu, Wenhao Li, Scott Sanner, Elias B. Khalil |
| 2026 | Graph Isomorphism: Mixed-Integer Convex Optimization from First-Order Methods. | Wenjie Xiao, Mathieu Besanon, Patrick Gel, Deborah Hendrych, Stefan Klus, Sebastian Pokutta |
| 2026 | Optimization over Trained Neural Networks: Going Large with Gradient-Based Algorithms. | Jiatai Tong, Yilin Zhu, Thiago Serra, Samuel Burer |
| 2026 | Complete Anytime Decision Diagram Search with GPU-Accelerated State Expansion. | Fabio Tardivo, Laurent Michel, Willem-Jan van Hoeve |
| 2026 | From Historical Templates to Hints: Selecting Effective Initializations for the Rack-Loading Problem. | Thas Souyri, Nadia Lahrichi, Louis-Martin Rousseau |
| 2026 | Exact Certification of Data-Poisoning Attacks Using Mixed-Integer Programming. | Philip Sosnin, Jodie Knapp, Fraser Kennedy, Josh Collyer, Calvin Tsay |
| 2026 | Singleton Node Consistency for Quadratic Assignment Problems in Cost Function Networks. | Guidio Sewa, David Allouche, Simon de Givry, George Katsirelos, Thomas Schiex |
| 2026 | Probing Features for Automatic Algorithm Selection for Pseudo-boolean Optimization. | Amanda Salinas-Pinto, Catalina Pezo, Dorit S. Hochbaum, Bistra Dilkina, Ricardo anculef, Roberto Asn-Ach |
| 2026 | BaB-PoNN: A Bit-Exact Branch-and-Bound Framework for Verified Robustness of Posit Neural Networks. | Suleiman Junaidu Sadiq, Martin Mariusz Lester |
| 2026 | Scheduling Data Transfers with Priorities for Space Missions. | Julien Rouzot, Christian Artigues, Clment Carbonnel, Philippe Garnier, Emmanuel Hebrard, Pierre Lopez, Bertrand Simon |
| 2026 | A Hybrid Learning-Based Matheuristic to Solve the Vehicle Routing Problem with Stochastic Demands. | Gal Reynal, Quentin Cappart, Guy Desaulniers, Louis-Martin Rousseau |
| 2026 | Introducing Automatically Derived Subproblem Relaxations in a Logic-Based Benders Decomposition Solver. | Sachin Rajendran, Stephen J. Maher, Elina Rnnberg |
| 2026 | Optimization Over Trained (and Sparse) Neural Networks: A Surrogate Within a Surrogate. | Hung Pham, Aiden Ren, Ibrahim Tahir, Jiatai Tong, Thiago Serra |
| 2026 | Exact Synthetic Populations for Scalable Societal and Market Modeling. | Thierry Petit, Arnault Pachot |
| 2026 | Heuristic Multiobjective Discrete Optimization Using Restricted Decision Diagrams. | Rahul Patel, Elias B. Khalil, David Bergman |
| 2026 | Open-Source Implementation of Slack Induction by String Removals for Routing and Orienteering Problems. | Martin Pajersk, Vclav Sobotka, Hana Rudov |
| 2026 | A Scalable Learning Approach for Efficient Computation of Independent Set and Cover Variants. | Ryan O'Connor, Noah Coleman, Darren Strash, Saurabh Ray, Deepak Ajwani |
| 2026 | Explainability Results for the Rotating Workforce Scheduling Problem. | Esther Mugdan, Lucas Kletzander, Nysret Musliu |
| 2026 | Integrating Bayesian Optimization and Combinatorial Optimization for LEO Satellite Constellation Design. | Linhao Luo, Trudy Lam, Vicky Mak |
| 2026 | Towards Solving Polynomial-Objective Integer Programming with Hypergraph Neural Networks. | Minshuo Li, Yaoxin Wu, Pavel Troubil, Yingqian Zhang, Wim P. M. Nuijten |
| 2026 | Cost-Minimal Parameter Correction Subsets for Unsatisfiable Constraint Problems. | Antoine Laviolette, Claude-Guy Quimper, Raphal Boudreault |
| 2026 | Multi-objective Maximum Satisfiability by Single-Objective Implicit Hitting Set Optimization. | Christoph Jabs, Jeremias Berg, Matti Jrvisalo |
| 2026 | Contextual Preference Distribution Learning. | Benjamin Hudson, Laurent Charlin, Emma Frejinger |
| 2026 | No-Opponent-Cycle Propagators for Solving Parity Games. | Gonzalo Hernandez, Julian Garcia, Julian Gutierrez, Guido Tack |
| 2026 | Resource-Constrained Project Scheduling Problem with Transfer Times Using Secondary Resources with Instant Self-transfers. | Vilm Heinz, Zdenek Hanzlek, Christian Artigues, Emmanuel Hebrard |