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

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).

• Type: Conference
• Year: 2001
• Where: EMO
• Authors: Daisuke Sasaki, Masashi Morikawa, Shigeru Obayashi, Kazuhiro Nakahashi
• Keywords: Aerodynamic Wing Optimization, EMO 2001, Multiobjective Genetic Algorithms, Optimization, Supersonic Drag Coefficients