Author(s)

Jyh-bin Suen & Jen-shiang Kouh

Abstract

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.

Keywords