Evolutionary optimization and game strategies for advanced multi-disciplinary design : applications to aeronautics and UAV design

Periaux, Jacques, Gonzalez, Felipe, & Lee, Dong Seop Chris (2015) Evolutionary optimization and game strategies for advanced multi-disciplinary design : applications to aeronautics and UAV design. Intelligent Systems, Control and Automation : Science and Engineering, 75. Springer Netherlands, Houten, Netherlands.

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Abstract

Many complex aeronautical design problems can be formulated with efficient multi-objective evolutionary optimization methods and game strategies.

This book describes the role of advanced innovative evolution tools in the solution, or the set of solutions of single or multi disciplinary optimization. These tools use the concept of multi-population, asynchronous parallelization and hierarchical topology which allows different models including precise, intermediate and approximate models with each node belonging to the different hierarchical layer handled by a different Evolutionary Algorithm. The efficiency of evolutionary algorithms for both single and multi-objective optimization problems are significantly improved by the coupling of EAs with games and in particular by a new dynamic methodology named “Hybridized Nash-Pareto games”.

Multi objective Optimization techniques and robust design problems taking into account uncertainties are introduced and explained in detail. Several applications dealing with civil aircraft and UAV, UCAV systems are implemented numerically and discussed. Applications of increasing optimization complexity are presented as well as two hands-on test cases problems. These examples focus on aeronautical applications and will be useful to the practitioner in the laboratory or in industrial design environments. The evolutionary methods coupled with games presented in this volume can be applied to other areas including surface and marine transport, structures, biomedical engineering, renewable energy and environmental problems.

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ID Code: 83999
Item Type: Book
Additional Information: Hardcover ISBN 978 94 017 9519 7
Additional URLs:
Keywords: UAVs, Engineering Optimization, Game Theory, Multidisciplinary Design, Parallel Evolutionary Algorithms
DOI: 10.1007/978-94-017-9520-3
ISBN: 978 94 017 9520 3
ISSN: 2213-8994
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > AEROSPACE ENGINEERING (090100)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600)
Divisions: Current > Research Centres > Australian Research Centre for Aerospace Automation
Current > Schools > School of Electrical Engineering & Computer Science
Current > Institutes > Institute for Future Environments
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Deposited On: 08 May 2015 00:08
Last Modified: 15 Oct 2015 00:01

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