collaborators

8 papers

cs.MA2026

AOC-CBS: Anytime-Optimal Continuous-time Conflict-Based Search for Generalised Multi-Agent Path Finding

Alvin Combrink, Sabino Francesco Roselli, Martin Fabian

Many research fields share a common structure: a set of agents, each pursuing its own goal, whose actions must be coordinated so that no two of them conflict. Multi-Agent Path Find…

eess.SY2026

Multi-Worker Assembly Line Rebalancing with Relevance-Guided Configuration Preservation

Martina Vinetti, Sabino Roselli, Martin Fabian

In assembly line balancing, tasks are assigned to stations in order to satisfy a required cycle time. When production conditions change, the line must be rebalanced by modifying th…

eess.SY2026

A Multi-Worker Assembly Line Rebalancing with Spatial and Ergonomic Considerations

Martina Vinetti, Sabino Francesco Roselli, Martin Fabian

This work addresses the Assembly Line Rebalancing Problem driven by cycle-time changes in manual assembly systems where multiple workers operate in parallel within the same station…

eess.SY2026

A General Formulation for the Teaching Assignment Problem: Computational Analysis Over a Real-World Dataset

Moa Johannesson, Lina Brink, Alvin Combrink +2

The Teacher Assignment Problem is a combinatorial optimization problem that involves assigning teachers to courses while guaranteeing that all courses are covered, teachers do not…

cs.MA2025

Optimal Multi-Agent Path Finding in Continuous Time

Alvin Combrink, Sabino Francesco Roselli, Martin Fabian

Continuous-time Conflict Based Search (CCBS) has been widely used as an exact baseline for Continuous-time Multi-Agent Path Finding (MAPFR), and its correctness guarantees underpin…

cs.AI2025

A Comparative Study of SMT and MILP for the Nurse Rostering Problem

Alvin Combrink, Stephie Do, Kristofer Bengtsson +2

The effects of personnel scheduling on the quality of care and working conditions for healthcare personnel have been thoroughly documented. However, the ever-present demand and lar…