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From the 1 of 10 linked papers with an AI index.

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20242026
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10 papers

math.OC2026

Tight Formulations for Unit Commitment with Different Levels of Details -- Part I: Models and Theoretical Insights

Maaike B. Elgersma, Karen I. Aardal, Mathijs M. de Weerdt +1

The paper develops convex‑hull based formulations for the unit commitment problem at various levels of detail and proves their tightness for ramping, start‑up/shut‑down, and invest…

cs.AI2026

Precomputing Multi-Agent Path Replanning Using Temporal Flexibility

Issa Hanou, Eric Kemmeren, Devin Wild Thomas +1

Executing a multi-agent plan can be challenging when an agent is delayed, because this typically creates conflicts with other agents. So, we need to quickly find a new safe plan. R…

cs.GT2026

When Effort May Fail: Equilibria of Shared Effort with a Threshold

Gleb Polevoy, Stojan Trajanovski, Mathijs de Weerdt

People, robots, and companies mostly divide time and effort among projects, and \defined{shared effort games} model people investing resources in public endeavors and sharing the g…

math.OC2025

Hull Clustering with Blended Representative Periods for Energy System Optimization Models

Grigory Neustroev, Diego A. Tejada-Arango, German Morales-Espana +1

The growing integration of renewable energy sources into power systems requires planning models to account for not only demand variability but also fluctuations in renewable availa…

cs.AI2025

Revisiting Landmarks: Learning from Previous Plans to Generalize over Problem Instances

Issa Hanou, Sebastijan Dumančić, Mathijs de Weerdt

We propose a new framework for discovering landmarks that automatically generalize across a domain. These generalized landmarks are learned from a set of solved instances and descr…

cs.AI2025

Proactive and Reactive Constraint Programming for Stochastic Project Scheduling with Maximal Time-Lags

Kim van den Houten, Léon Planken, Esteban Freydell +2

This study investigates scheduling strategies for the stochastic resource-constrained project scheduling problem with maximal time lags (SRCPSP/max)). Recent advances in Constraint…