Abstract
Bacterial Foraging Optimisation (BFO) is investigated in an attempt to evaluate its use in solving complex optimisation problems for aeronautical structures. A hybrid variant of BFOA, which incorporates meta-modelling techniques, is also proposed and employed. The efficiency and effectiveness of the methods are tested for tailoring a rectangular composite wing, aiming to maximise the flutter speed and for scaling a joined-wing aircraft, targeting to match aeroelastic responses between the physical prototype and wind tunnel model. The obtained results are compared with those found using a range of other biologically inspired optimisation methods (GA, PSO, ACO), proving that the social foraging behavior of motile bacteria is an effective tool for aeroelastic optimisation.
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Acknowledgments
This work is partially supported through the Virtual Engineering Centre (VEC), which is a University of Liverpool initiative in partnership with the Northwest Aerospace Alliance, the Science and Technology Facilities Council (Daresbury Laboratory), BAE Systems, Morson Projects and Airbus (UK). The VEC is funded by the Northwest Regional Development Agency (NWDA) and European Regional Development Fund (ERDF) to provide a focal point for virtual engineering research, education and skills development, best practice demonstration, and knowledge transfer to the aerospace sector.
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This work is dedicated to a colleague and friend, excellent scientist and engineer Idomeneas Pateros (1980–2010).
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Georgiou, G., Vio, G.A. & Cooper, J.E. Aeroelastic tailoring and scaling using Bacterial Foraging Optimisation. Struct Multidisc Optim 50, 81–99 (2014). https://doi.org/10.1007/s00158-013-1033-3
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DOI: https://doi.org/10.1007/s00158-013-1033-3