华中科技大学学报（自然科学版）2024，Vol.52Issue(10)：109-115,129,8.DOI:10.13245/j.hust.240300
参数化船型重构和智能优化及其应用
Parametric hull type reconstruction and intelligent optimization and their applications
摘要
Abstract
A geometric model of a certain type of chemical tanker was built by parameters,and the impact of the selection of parameters,optimization methods,and calculation conditions on the optimization results was analysed.The optimization plan was determined and parameterized optimization of multi speed and variable draft was carried out.Based on the optimization results of different drafts and speeds,the radial basis function(RBF)proxy model was used to generate response surfaces for each draft and speed,and thereby the construction of objective functions was completed for multiple speeds and different drafts.Finally,the non-dominated sorting genetic algorithms-II was adopted for multi-objective optimization research.Results show that based on the optimization data results generated under different drafts and speed conditions,the RBF proxy model is used to construct a response surface model,and error analysis is performed on the response surfaces generated under various conditions.The root mean square error is less than 0.2,and the determination coefficient is greater than 0.9,which could meet the accuracy requirements.Extracting optimization results and using a proxy model to establish a response surface can enable multi-objective optimization with different draft as the dependent variable for multiple speeds.关键词
参数化船型/参数选取/优化方法/响应面/多目标优化Key words
parameterized hull type/parameter selection/optimization method/response surface/multi-objective optimization分类
交通工程引用本文复制引用
梁家健,陈天宇,陈京普..参数化船型重构和智能优化及其应用[J].华中科技大学学报（自然科学版）,2024,52(10):109-115,129,8.基金项目
国家重点研发计划资助项目(2022YFB4301402). （2022YFB4301402）
