10 MW FOWT Semi-Submersible Multi-Objective Optimization: A Comparative Study of PSO, SA, and ACO

10 MW FOWT Semi-Submersible Multi-Objective Optimization: A Comparative Study of PSO, SA, and ACO

The present study aims to carry out a comparative Multi-Objective Optimization (MOO) of a 10 MW FOWT semi-submersible using three different metaheuristic optimization techniques and a sophisticated approach for optimizing a floating platform. This novel framework enables highly efficient 3D plots, a...

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Bibliographic Details
Main Authors: Souleymane Drabo, Siqi Lai, Hongwei Liu, Xiangheng Feng
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Energies
Subjects:
renewable energy
Floating Offshore Wind Turbine
metaheuristic
evolutionary algorithms
Particle Swarm Optimization
ant colony analysis
Online Access:https://www.mdpi.com/1996-1073/17/23/5914
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