A new type of multi-objective genetic programming (MOGP) for design exploration is proposed. The feature of the new MOGP is the simultaneous symbolic regression to multiple variables using correlation coefficients. This methodology is applied to Pareto-optimal solutions of the multi-objective aerodynamic design optimization problem of a bi-conical shape reusable launch vehicle. The MOGP presents symbolic equations which have high correlations to zero-lift drag at supersonic condition, maximum lift-to-drag at supersonic condition and volume of shape through single MOGP run. These equations also have high correlation to another parameter of the body geometry. These results indicate that MOGP is capable of finding composite more efficient design parameters from original design parameters.
- Design Engineering Division and Computers and Information in Engineering Division
Aerodynamic Design Exploration for Reusable Launch Vehicle Using Multi-Objective Genetic Programming
- Views Icon Views
- Share Icon Share
- Search Site
Tatsukawa, T, Nonomura, T, Oyama, A, & Fujii, K. "Aerodynamic Design Exploration for Reusable Launch Vehicle Using Multi-Objective Genetic Programming." Proceedings of the ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Volume 2: 31st Computers and Information in Engineering Conference, Parts A and B. Washington, DC, USA. August 28–31, 2011. pp. 213-223. ASME. https://doi.org/10.1115/DETC2011-48154
Download citation file: