Genetic Algorithms For Optimal Series PropellerDesign
Jyh-bin Suen, Jen‐Shiang Kouh · WIT transactions on the built environment · 1999
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. Transactions on the Built Environment vol 42, © 1999 WIT Press, www.witpress.com, ISSN 1743-3509 238 Marine Technology