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

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Bibliografski detalji
Izdano u:	Journal of Marine Science and Engineering vol. 13, no. 9 (2025), p. 1719-1742
Glavni autor:	Htein Nay Min
Daljnji autori:	Louvros Panagiotis, Stefanou Evangelos, Aung Myo, Hifi Nabile, Boulougouris Evangelos
Izdano:	MDPI AG
Teme:	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
Online pristup:	Citation/Abstract Full Text + Graphics Full Text - PDF
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