Anwendung und Verbesserung von Algorithmen der Computational Intelligence zur Modellierung und Optimierung komplexer Probleme der Planung von Supply Chains und der Vorhersagen und Epidemien

Anwendung und Verbesserung von Algorithmen der Computational Intelligence zur Modellierung und Optimierung komplexer Probleme der Planung von Supply Chains und der Vorhersagen und Epidemien

Meta-Heuristiken im Supply Chain Planning - Projektbezogener Personenaustausch mit Brasilien

The Brazilian-German research project “Application and Extension of Meta-Heuristics for Supply Chain Planning” is part of the bilateral research support program from the Brazilian CAPES and the German DAAD. The project sets out to evaluate the applicability and performance of two meta-heuristics for complex optimization problems in SCP that were recently proposed by the Brazilian project partners: the Fish School Search (FSS), an optimization technique inspired by the collective behavior of fish schools, and Evolutionary Self-Organized Map (EvSOM). Thus, the project contributes to the ongoing research in Supply Chain Planning by applying new, promising optimization techniques and feeds back the experiences made during this application into the ongoing development of the two new meta-heuristics.