Part 2. MOO methods for multidisciplinary design using parallel evolutionary algorithms, game theory and hierarchical topology. (Part 2.) Numerical aspects and implementation of model test cases

Gonzalez, Luis Felipe, Lee, Dong-Seop, & Periaux, Jacques (2012) Part 2. MOO methods for multidisciplinary design using parallel evolutionary algorithms, game theory and hierarchical topology. (Part 2.) Numerical aspects and implementation of model test cases. 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.

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Abstract

These lecture notes describe the use and implementation of a framework in which mathematical as well as engineering optimisation problems can be analysed. The foundations of the framework and algorithms described -Hierarchical Asynchronous Parallel Evolutionary Algorithms (HAPEAs) - lie upon traditional evolution strategies and incorporate the concepts of a multi-objective optimisation, hierarchical topology, asynchronous evaluation of candidate solutions , parallel computing and game strategies. In a step by step approach, the numerical implementation of EAs and HAPEAs for solving multi criteria optimisation problems is conducted providing the reader with the knowledge to reproduce these hand on training in his – her- academic or industrial environment.

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ID Code: 74102
Item Type: Book Chapter
Keywords: UAVs,, Parallel Evolutionary Algorithms, Optimization, Multidisciplinary Design, Game Theory
ISBN: 9782875160324
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > AEROSPACE ENGINEERING (090100)
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: 18 Jul 2014 00:32
Last Modified: 09 Oct 2015 07:06

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