151. Multi-objective genetic design optimisation for early design
- Author
-
Timoleon Kipouros, G Ferraro, Abdul Rampurawala, and A. Mark Savill
- Subjects
Astronautics ,Engineering drawing ,Engineering ,business.industry ,Process (engineering) ,Genetic design ,Pareto principle ,Aerodynamics ,Industrial engineering ,Toolbox ,Low fidelity ,business ,MATLAB ,computer ,computer.programming_language - Abstract
© 2014, American Institute of Aeronautics and Astronautics Inc. All rights reserved. This paper describes the development of an integrated and automatic system for solving multi-objective real-world design optimisation problems. Our illustrative test case is the aerodynamic optimisation of a wing-mounted propeller aircraft configuration. The computational framework combines the MATLAB MOGA toolbox, as a means to navigate and explore the design space, and an low fidelity methodology to evaluate the aerodynamic performance metrics. The Pareto frontier, solution of the optimisation process, show a successful trade-off between different configurations, leading to meaningful designs and aerodynamically more efficient.
- Full Text
- View/download PDF