10.18453/rosdok_id00005673 Benifla, Victor Victor Benifla http://d-nb.info/gnd/1412519306 Universität Rostock 2024 620 Engineering & allied operations 2024 en https://purl.uni-rostock.de/rosdok/id00005673 urn:nbn:de:gbv:28-rosdok_id00005673-5 The offshore wind industry has expanded in recent years, with many new support structure design concepts emerging. This thesis develops an optimization framework to reduce the mass and cost of floating offshore wind turbine substructures. Coupled numerical models and a tailored genetic algorithm evaluate system behavior and identify efficient designs. The approach emphasizes modular, multi-use components to streamline fabrication and installation of floating platforms. A case study shows how targeted optimization enhances performance and significantly lowers overall project costs.