3 citations · 3 across the 4 of their papers we have counts for
5 papers
Conflict-Predictive Variable Horizons in Multi-Drone Distributed Model Predictive Control
Linda Mümken, Michael Schwung, Stefan Lier +1
In distributed model predictive control for multi-drone collision avoidance, a fixed prediction horizon forces a compromise: a short horizon is inexpensive but reacts late to appro…
Distributed Model Predictive Control with Adaptive Safety Zones for Multi-Fleet Drone Operations
Linda Mümken, Diyar Altinses, Michael Schwung +2
Autonomous drone swarms in space-constrained environments such as warehouses, inspection corridors, and urban delivery routes must share limited airspace safely at high vehicle den…
Policy-Based Deep Reinforcement Learning Hyperheuristics for Job-Shop Scheduling Problems
Sofiene Lassoued, Asrat Gobachew, Stefan Lier +1
This paper proposes a policy-based deep reinforcement learning hyper-heuristic framework for solving the Job Shop Scheduling Problem. The hyper-heuristic agent learns to switch sch…
Policy-Based Reinforcement Learning with Action Masking for Dynamic Job Shop Scheduling under Uncertainty: Handling Random Arrivals and Machine Failures
Sofiene Lassoued, Stefan Lier, Andreas Schwung
We present a novel framework for solving Dynamic Job Shop Scheduling Problems under uncertainty, addressing the challenges introduced by stochastic job arrivals and unexpected mach…
Flexible Manufacturing Systems Intralogistics: Dynamic Optimization of AGVs and Tool Sharing Using Coloured-Timed Petri Nets and Actor-Critic RL with Actions Masking
Sofiene Lassoued, Laxmikant Shrikant Bahetic, Nathalie Weiß-Borkowskib +2
Flexible Manufacturing Systems (FMS) are pivotal in optimizing production processes in today's rapidly evolving manufacturing landscape. This paper advances the traditional job sho…