Parametric Hull Form Variation-based Genetic Algorithm for Reduced Ship Resistance
| Autor: | Hai Tran, Tat-Hien Le, Ngoc Hoa Nguyen Thi, Ngoc Bich Vu, Duy Anh Nguyen, Van Tao Tran |
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| Rok vydání: | 2020 |
| Předmět: |
Physics::Physics and Society
Linear programming Computer science 020207 software engineering 020101 civil engineering 02 engineering and technology Variation (game tree) 0201 civil engineering Naval architecture Physics::Popular Physics Computer Science::Hardware Architecture ComputerApplications_MISCELLANEOUS Hull Genetic algorithm 0202 electrical engineering electronic engineering information engineering Wave resistance MATLAB GeneralLiterature_REFERENCE(e.g. dictionaries encyclopedias glossaries) computer Marine engineering Parametric statistics computer.programming_language |
| Zdroj: | 2020 International Conference on Advanced Mechatronic Systems (ICAMechS). |
| DOI: | 10.1109/icamechs49982.2020.9310110 |
| Popis: | Our study presents a tool to improve a ship hull form parameter based on genetic optimization algorithms from an existing ship or a parent ship. In this research, a mathematical model of an objective function is obtained using the Holtrop prediction method’s viscous resistance and wave resistance. In our study, a parametric hull form variation – based genetic algorithm is applied to improve principal design variables such as a longitudinal center of buoyancy, block coefficient, prismatic coefficient, and mid-ship coefficient. The parametric hull form variation using Lackenby is carried out from the parent ship after these ship hull form coefficients are improved. In that way, the ship is designed to inherit useful features from the parent ship and satisfy the optimized hull form variables according to the ship design requirement. Our algorithm is built on the MATLAB platform and aims to support the designer in a preliminary ship design stage. |
| Databáze: | OpenAIRE |
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