Aerodynamic Shape Optimization of Supersonic Wings by Adaptive Range Multiobjective Genetic Algorithms | Zendy

Daisuke Sasaki | Zendy; Masashi Morikawa | Zendy; Shigeru Obayashi | Zendy; Kazuhiro Nakahashi | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Aerodynamic Shape Optimization of Supersonic Wings by Adaptive Range Multiobjective Genetic Algorithms

Author(s) -

Daisuke Sasaki,

Masashi Morikawa,

Shigeru Obayashi,

Kazuhiro Nakahashi

Publication year - 2001

Publication title -

lecture notes in computer science

Language(s) - English

Resource type - Book series

SCImago Journal Rank - 0.249

H-Index - 400

eISSN - 1611-3349

pISSN - 0302-9743

ISBN - 3-540-41745-1

DOI - 10.1007/3-540-44719-9_45

Subject(s) - wing , supersonic speed , transonic , aerodynamics , airplane , genetic algorithm , range (aeronautics) , aerospace engineering , multi objective optimization , wing configuration , drag , pareto principle , computer science , mathematical optimization , engineering , mathematics , structural engineering

This paper describes an application of Adaptive Range Multiobjective Genetic Algorithms (ARMOGAs) to aerodynamic wing optimization. The objectives are to minimize transonic and supersonic drag coefficients, as well as the bending and twisting moments of the wings for the supersonic airplane. A total of 72 design variables are categorized to describe the wing's planform, thickness distribution, and warp shape. ARMOGAs are an extension of MOGAs with the range adaptation. Four-objective optimization was successfully performed. Pareto solutions are compared with Pareto optimal wings obtained by the previous three-objective optimization and a wing designed by National Aerospace Laboratory (NAL).

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research