Abstract
A multiobjective genetic algorithm (GA) based on Fonseca-Fleming's Pareto-based ranking and fitness-sharing techniques has been applied to aerodynamic shape optimization of cascade airfoil design. Airfoil performance is evaluated by a Navier-Stokes code. Evaluation of GA population is parallelized on the Numerical Wind Tunnel, a parallel vector machine. The present multiobjective design seeks high pressure rise, high flow turning angle, and low total pressure loss at a low Mach number. Pareto solutions that perform better than existing control diffusion airfoils were obtained.
| Original language | English |
|---|---|
| Pages (from-to) | 211-216 |
| Number of pages | 6 |
| Journal | IEEE Transactions on Industrial Electronics |
| Volume | 47 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2000 Feb |