This paper looks to create sensible mass reductions to the new commercial-scale floating offshore wind platforms, which must reduce in cost if they are to be deployed at scale. A response–amplitude numerical model tested the floating wind system against environmental loads, whilst a genetic algorithm optimized the geometrical design. Then, a time series forecasting tool blends the models to predict future prices to accurately provide platform and energy costs.