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Distributed genetic algorithm for floating production unit’s mooring system optimization
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DOI：10.1016/j.oceaneng.2025.122186.png)
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Abstract
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• A distributed implementation of the NSGA-II algorithm is developed and evaluated in a High-Performance Computing (HPC) environment. • The proposed implementation is applied to the repositioning of a semi-submersible platform with spread catenary mooring lines. • Results show execution time reductions of 11.9 times when compared to serial execution, while maintaining solution quality. • The optimized solution presented a reduction of 7 % in maximum line loads and a displacement of 32.94 m in the desired direction. • Mooring optimization problems can greatly benefit from HPC infrastructure.
Keywords:
NSGA-II
distributed implementation
High-Performance Computing
mooring optimization
semi-submersible platform
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