| Multiobjective scheduling of jobs with incompatible families on parallel batch machines D Reichelt, L Mönch European Conference on Evolutionary Computation in Combinatorial …, 2006 | 51 | 2006 |
| Designing reliable communication networks with a genetic algorithm using a repair heuristic D Reichelt, F Rothlauf, P Gmilkowsky European Conference on Evolutionary Computation in Combinatorial …, 2004 | 31 | 2004 |
| Reliable communication network design with evolutionary algorithms D Reichelt, F Rothlauf International journal of computational intelligence and applications 5 (02 …, 2005 | 16 | 2005 |
| A review of the applications of multi-agent reinforcement learning in smart factories F Bahrpeyma, D Reichelt Frontiers in Robotics and AI 9, 1027340, 2022 | 14 | 2022 |
| Using voice assistants as HMI for robots in smart production systems J Ghofrani, D Reichelt CEUR Workshop Proceedings 2339, 2019 | 14 | 2019 |
| A study of an iterated local search on the reliable communication networks design problem D Reichelt, P Gmilkowsky, S Linser Workshops on Applications of Evolutionary Computation, 156-165, 2005 | 10 | 2005 |
| A systematic mapping study on machine learning techniques applied for condition monitoring and predictive maintenance in the manufacturing sector TLJ Phan, I Gehrhardt, D Heik, F Bahrpeyma, D Reichelt Logistics 6 (2), 35, 2022 | 8 | 2022 |
| Dynamic job shop scheduling in an industrial assembly environment using various reinforcement learning techniques D Heik, F Bahrpeyma, D Reichelt International Conference on Intelligent Systems Design and Applications, 523-533, 2022 | 3 | 2022 |
| Micro Service based Sensor Integration Efficiency and Feasibility in the Semiconductor Industry G Schneider, P Patolla, M Fehr, D Reichelt, F Zoghlami, J Delsing Infocommunications Journal 14 (3), 79-85, 2022 | 3 | 2022 |
| An architecture for an automatic integration of IO-Link sensors into a system of systems P Patolla, D Reichelt, D Mothes, G Schneider IECON 2021–47th Annual Conference of the IEEE Industrial Electronics Society …, 2021 | 3 | 2021 |
| Cognitive production systems: a mapping study J Ghofrani, B Deutschmann, MD Soorati, D Reichelt, S Ihlenfeldt 2020 IEEE 18th International Conference on Industrial Informatics (INDIN) 1 …, 2020 | 3 | 2020 |
| Application of Reinforcement Learning to UR10 Positioning for Prioritized Multi-Step Inspection in NVIDIA Omniverse F Bahrpeyma, A Sunilkumar, D Reichelt 2023 IEEE Symposium on Industrial Electronics & Applications (ISIEA), 1-6, 2023 | 2 | 2023 |
| An Application of Reinforcement Learning in Industrial Cyber-Physical Systems. D Heik, F Bahrpeyma, D Reichelt OVERLAY@ AI* IA, 51-55, 2022 | 2 | 2022 |
| AI-supported marketplace for industrial capabilities E Brandt, F Brandt, K Clemens, D Reichelt 2021 22nd IEEE International Conference on Industrial Technology (ICIT) 1 …, 2021 | 2 | 2021 |
| Asset Administration Shell: Domain Specific Language Approach to Integrate Heterogeneous Device Endpoints F Brandt, E Brandt, J Ghofrani, D Heik, D Reichelt Proceedings of the Future Technologies Conference (FTC) 2020, Volume 3, 1044 …, 2021 | 2 | 2021 |
| A Software Platform for Use Case Driven Human-Friendly Factory Interaction Using Domain-Specific Assets F Brandt, E Brandt, D Heik, D Reichelt, J Ghofrani Proceedings of the Future Technologies Conference (FTC) 2020, Volume 3, 1032 …, 2021 | 2 | 2021 |
| Kommunikationsnetzwerkplanung unter Kosten-und Zuverlässigkeitsgesichtspunkten mit Hilfe von evolutionären Algorithmen D Reichelt | 2 | 2006 |
| CURE: Eine Reparaturheuristik für die Planung ökonomischer und zuverlässiger Kommunikationsnetzwerke mit Hilfe von heuristischen Optimierungsverfahren D Reichelt, F Rothlauf Kommunikation in Verteilten Systemen (KiVS) 14. Fachtagung Kommunikation in …, 2005 | 2 | 2005 |
| Ganzheitliche Wandlungsfähigkeit von Produktionssystemen–der Schlüssel zur Ressourcenwende? P Bielitz, N Jäpel, D Heik, D Reichelt HMD Praxis der Wirtschaftsinformatik 60 (6), 1222-1236, 2023 | 1 | 2023 |
| Application of multi-agent reinforcement learning to the dynamic scheduling problem in manufacturing systems D Heik, F Bahrpeyma, D Reichelt International Conference on Machine Learning, Optimization, and Data Science …, 2023 | 1 | 2023 |
