Utilizing Machine Learning Tools for Calm Water Resistance Prediction and Design Optimization of a Fast Catamaran Ferry

Utilizing Machine Learning Tools for Calm Water Resistance Prediction and Design Optimization of a Fast Catamaran Ferry

The article aims to design a calm water resistance predictor based on Machine Learning (ML) Tools and develop a systematic series for battery-driven catamaran hullforms. Additionally, employing a machine learning predictor for design optimization through the utilization of a Genetic Algorithm (GA) i...

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Bibliographic Details
Main Authors: Amin Nazemian, Evangelos Boulougouris, Myo Zin Aung
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Journal of Marine Science and Engineering
Subjects:
systematic series
machine learning
lackenby variation method
self-blending method
genetic algorithm
Online Access:https://www.mdpi.com/2077-1312/12/2/216

Internet

https://www.mdpi.com/2077-1312/12/2/216

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