Design Optimization of a Tension Leg Platform for Floating Offshore Wind Turbine Based on NSGA-II Algorithm With Surrogate Models

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Optimization process reduces pitch motion and tendon tension in a floating offshore wind turbine platform, suggesting improved stability.

The optimized design significantly improved pitch motion and tendon tension responses.
The NSGA-II algorithm derived Pareto-optimal solutions based on multiple hydrodynamic performance objectives.
Surrogate models enhanced efficiency in evaluating various design configurations of the tension leg platform.
Frequency-domain analyses revealed reductions primarily in wave-frequency components related to pitch motion.

Park et al. (2025) studied this question.

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