4 papers
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…
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…
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…
A Penalty-Based Guardrail Algorithm for Non-Decreasing Optimization with Inequality Constraints
Ksenija Stepanovic, Wendelin Böhmer, Mathijs de Weerdt
Traditional mathematical programming solvers require long computational times to solve constrained minimization problems of complex and large-scale physical systems. Therefore, the…