Coupling hybrid-game strategies with particle swarm optimisation for multi-objective high lift systems design optimisation

Lee, D-S., Periaux, J., Gonzalez, L.F., & Onate, E. (2011) Coupling hybrid-game strategies with particle swarm optimisation for multi-objective high lift systems design optimisation. In Papadrakakis, M., Onate, E., & Schrefler, B. (Eds.) Proceedings of the IV International Conference on Computational Methods for Coupled Problems in Science and Engineering, International Center for Numerical Methods in Engineering (CIMNE), Kos International Convention Centre, Kos Island, Greece.

View at publisher


This paper investigates the High Lift System (HLS) application of complex aerodynamic design problem using Particle Swarm Optimisation (PSO) coupled to Game strategies. Two types of optimization methods are used; the first method is a standard PSO based on Pareto dominance and the second method hybridises PSO with a well-known Nash Game strategies named Hybrid-PSO. These optimization techniques are coupled to a pre/post processor GiD providing unstructured meshes during the optimisation procedure and a transonic analysis software PUMI. The computational efficiency and quality design obtained by PSO and Hybrid-PSO are compared. The numerical results for the multi-objective HLS design optimisation clearly shows the benefits of hybridising a PSO with the Nash game and makes promising the above methodology for solving other more complex multi-physics optimisation problems in Aeronautics.

Impact and interest:

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

Full-text downloads:

4 since deposited on 11 Oct 2011
1 in the past twelve months

Full-text downloads displays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.

ID Code: 46358
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
Keywords: Hybrid-game Strategies, PSO, High Lift Systems Design, Optimisation, Multi-objective
ISBN: 9788487867590
Subjects: Australian and New Zealand Standard Research Classification > MATHEMATICAL SCIENCES (010000) > NUMERICAL AND COMPUTATIONAL MATHEMATICS (010300) > Optimisation (010303)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > AEROSPACE ENGINEERING (090100) > Aircraft Performance and Flight Control Systems (090104)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > MECHANICAL ENGINEERING (091300) > Autonomous Vehicles (091303)
Divisions: Current > Research Centres > Australian Research Centre for Aerospace Automation
Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Schools > School of Engineering Systems
Copyright Owner: Copyright 2011 The Authors.
Deposited On: 11 Oct 2011 21:58
Last Modified: 22 Jul 2015 09:38

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page