News published by the University of Klagenfurt concerning the research cluster Self organizing systems
Production plants are highly complex systems. Identifying the optimal sequence of machines and production steps not only saves a lot of money, but also contributes to energy and resource efficiency. Using Infineon Technologies Austria AG as an example, researchers at Lakeside Labs GmbH and the University of Klagenfurt are developing new algorithms to improve the efficiency of factories.
Working together in the FWF project “Self-organizing synchronization with stochastic coupling”, Udo Schilcher, Jorge Schmidt, Arke Vogell and Christian Bettstetter co-authored the publication “Swarmalators with stochastic coupling and memory”. This paper won the Karsten Schwan Best Paper Award at the IEEE International Conference on Autonomic Computing and Self-Organising Systems (ACSOS) on 30 September 2021, a prize that recognises the best paper presented at the conference.
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