CUED Publications database

Multi-Objective genetic design optimisation for early design

Ferraro, G and Kipouros, T and Mark Savill, A and Rampurawala, A (2014) Multi-Objective genetic design optimisation for early design. In: UNSPECIFIED.

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© 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.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Divisions: Div C > Engineering Design
Depositing User: Cron Job
Date Deposited: 17 Jul 2017 19:43
Last Modified: 17 May 2018 07:44