Genetic algorithms for optimal series propeller design

被引:0
|
作者
Suen, JB [1 ]
Kouh, JS [1 ]
机构
[1] Natl Taiwan Univ, Dept Naval Architecture & Ocean Engn, Cad Lab, Taipei, Taiwan
来源
MARINE TECHNOLOGY III | 2000年 / 1卷
关键词
D O I
暂无
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
A genetic algorithms (GA) technique is employed to determine a set of design parameters, which maximize efficiency of B-series propeller with nonlinear constraints. This is the first-known application of the genetic algorithms technique for optimal nonlinear series propeller design. GA are powerful and broadly applicable stochastic search and robust optimization techniques which follow the Darwinian principle of "survival of the fittest". GA are very suitable for large parameter space search such as propeller design. Real-world design cases are used to demonstrate that the proposed GA method can be successfully applied to optimal B-series propeller design.
引用
收藏
页码:237 / 246
页数:4
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