AI-Based Optimization Techniques for Hydrodynamic and Structural Design in Ships: A Review

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Bibliographische Detailangaben
Veröffentlicht in:	Journal of Marine Science and Engineering vol. 13, no. 9 (2025), p. 1719-1742
1. Verfasser:	Htein Nay Min
Weitere Verfasser:	Louvros Panagiotis, Stefanou Evangelos, Aung Myo, Hifi Nabile, Boulougouris Evangelos
Veröffentlicht:	MDPI AG
Schlagworte:	Structural engineering Comparative analysis Artificial intelligence Hydrodynamics Modelling Weight Optimization techniques Artificial neural networks Naval engineering Physics Computer applications Structural design Machine learning Design Efficiency Data reduction Accuracy Design optimization Structural weight Genetic algorithms Maritime industry Support vector machines Decision making Optimization Ship design Weight reduction Methods Optimization algorithms Architects Neural networks Economic
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