Aerodynamic inverse optimization with genetic algorithms

Research output: Contribution to conferencePaperpeer-review

7 Citations (Scopus)

Abstract

A multiobjective Genetic Algorithm based on Fonseca-Fleming's Pareto ranking method has been applied to optimize the three-dimensional target pressures for the aerodynamic inverse design of wing shape. The optimization problem was formulated to minimize the induced drag for wings as well as to minimize the viscous drag for airfoil sections. Performances of both the simple Genetic Algorithm and Vector Evaluated Genetic Algorithm were found unsatisfactory to the present optimization problem. The present design procedure was successfully applied to transonic wing design.

Original languageEnglish
Pages421-425
Number of pages5
Publication statusPublished - 1996 Dec 1
EventProceedings of the IEEE International Conference on Industrial Technology - Shanghai, China
Duration: 1994 Dec 51994 Dec 9

Other

OtherProceedings of the IEEE International Conference on Industrial Technology
CityShanghai, China
Period94/12/594/12/9

ASJC Scopus subject areas

  • Software
  • Industrial and Manufacturing Engineering
  • Electronic, Optical and Magnetic Materials

Fingerprint

Dive into the research topics of 'Aerodynamic inverse optimization with genetic algorithms'. Together they form a unique fingerprint.

Cite this