Part 1 MOO methods for multidisciplinary design using parallel evolutionary algorithms, game theory and hierarchical topology. (Part 1.) Theoretical aspects
Periaux, Jacques, Gonzalez, Luis Felipe, & Lee, DongSeop (2012) Part 1 MOO methods for multidisciplinary design using parallel evolutionary algorithms, game theory and hierarchical topology. (Part 1.) Theoretical aspects. In Periaux, Jacques & Verstaete, Tom (Eds.) Introduction to Optimization and Multidisciplinary Design in Aeronautics and Turbomachinery [Lecture Series 2012-03]. Von Karman Institute for Fluid Dynamics, Rhodes-St-Genese, Belgium.
Two lecture notes describe recent developments of evolutionary multi objective optimization (MO) techniques in detail and their advantages and drawbacks compared to traditional deterministic optimisers.
The role of Game Strategies (GS), such as Pareto, Nash or Stackelberg games as companions or pre-conditioners of Multi objective Optimizers is presented and discussed on simple mathematical functions in Part I , as well as their implementations on simple aeronautical model optimisation problems on the computer using a friendly design framework in Part II.
Real life (robust) design applications dealing with UAVs systems or Civil Aircraft and using the EAs and Game Strategies combined material of Part I & Part II are solved and discussed in Part III providing the designer new compromised solutions useful to digital aircraft design and manufacturing.
Many details related to Lectures notes Part I, Part II and Part III can be found by the reader in .
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|Item Type:||Book Chapter|
|Keywords:||UAVs, Optimization, Multidisciplinary Design, Aeronautics, Parallel Evolutionary Algorithms, Game Theory|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Adaptive Agents and Intelligent Robotics (080101)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > AEROSPACE ENGINEERING (090100) > Flight Dynamics (090106)
|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
|Copyright Owner:||Copyright 2012 Von Karman Institute for Fluid Dynamics|
|Deposited On:||17 Apr 2014 02:45|
|Last Modified:||13 Oct 2015 11:26|
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