Visualization of Global Trade-Offs in Aerodynamic Problems by ARMOGAs
نویسندگان
چکیده
Global tradeoffs for aerodynamic design of Supersonic Transport (SST) have been investigated by Multi-Objective Evolutionary Algorithms (MOEAs). The objectives are to reduce both drag and sonic boom to make next-generation SST more feasible. Adaptive Range MultiObjective Genetic Algorithms (ARMOGAs) are utilised for the efficient search. The trade-offs are analysed by Self-Organising Map (SOM), which provides a topology preserving mapping from the high dimensional space to two dimensions. ARMOGAs and SOM can be good design tools to conduct aerodynamic design optimisations and analyse the results.
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تاریخ انتشار 2005