Genetic algorithm for aerodynamic inverse optimization problems

Shigeru Obayashi, Susumu Takanashi

Research output: Contribution to journalConference article

16 Citations (Scopus)

Abstract

A Genetic Algorithm (GA) has been applied to optimize target pressure distributions for aerodynamic inverse design methods. Since GAs do not require any derivative information, the resulting aerodynamic optimization algorithm is robust. Once target pressure distributions are obtained, corresponding airfoil geometries can be computed by an inverse design code using a Navier-Stokes solver. Design samples indicate that supercritical airfoil shapes are reproduced by the simulated evolution of a GA.

Original languageEnglish
Pages (from-to)7-12
Number of pages6
JournalIEE Conference Publication
Issue number414
Publication statusPublished - 1995 Jan 1
EventProceedings of the 1st IEE/IEEE International Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications GALESIA '95 - Sheffield, Engl
Duration: 1995 Sep 121995 Sep 14

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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