Steinert, AlexanderAlexanderSteinertEhlers, SörenSörenEhlersKvittem, Marit IreneMarit IreneKvittemHoyos, Daniel MerinoDaniel MerinoHoyosEbbesen, MagnusMagnusEbbesen2020-06-092020-06-092016-06International Offshore and Polar Engineering Conference: 419-426 (2016-06)http://hdl.handle.net/11420/6278Cost reduction of a floating wind turbine is crucial for developing wind parks in deep water. Therefore, a study to identify the impact of a number of parameters, such as wind turbine rating, top mass and site conditions, on platform size and support structure cost of a generic semi-submersible was developed. In order to do so, a Python code, which estimates the platform behaviour, was coupled with a Particle Swarm Optimisation (PSO) algorithm. With this, the minimum cost of the support structure could be found which satisfies specified design constraints.enCost optimisationFloating wind turbineHydrodynamic responseParticle swarm optimisationSemi-submersibleTower base stressWind- and wave loadsConference PaperOther