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

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Opis bibliograficzny
Wydane w:	Journal of Marine Science and Engineering vol. 13, no. 9 (2025), p. 1719-1742
1. autor:	Htein Nay Min
Kolejni autorzy:	Louvros Panagiotis, Stefanou Evangelos, Aung Myo, Hifi Nabile, Boulougouris Evangelos
Wydane:	MDPI AG
Hasła przedmiotowe:	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
Dostęp online:	Citation/Abstract Full Text + Graphics Full Text - PDF
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