Summary
Design optimization is a process aimed at selecting the best design, referred as objective function, satisfying certain requirements, called constraints, by modifying the input variables or design parameters. modeFRONTIER is a software that allows to use data coming from many different sources to evaluate several designs and, through the use of an optimization algorithm, can change the input parameters in order to find a configuration that performs better than the others. The preferred methodology to carry out the optimization is usually the use of numerical analysis, instead of experimental or analytical analysis, because it combines good accuracy of the predicted solution with fewer time and resources needed for the investigation.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Poles: MOGA-II, An improved Multi-Objective Genetic Algorithm. Technical Report 2003-6, Esteco (December 2003)
Silvia, P.: The simplex method. Technical Report 2003-5, Esteco (October 2003)
Schittkowski, K.: NLPQLP: A New Fortran Implementation of a Sequential Quadratic Programming Algorithm - Users Guide, Report, Department of Mathematics, University of Bayreuth (2001)
Nash, J.: Equilibrium points in n-person games. Proceedings of the National Academy of Sciences 36(1), 48–49 (1950)
Clarich, Pediroda, Padovan, Poloni, Periaux: Application of game strategy in multi-objective robust design optimisation implementing selfadaptive search space decomposition by statistical analysis. In: European Congress on Computational Methods in Applied Sciences and Engineering (July 2004)
Clarich, Rigoni, Poloni: A new algorithm based on game theory for robust and fast multi-objective optimisation
Clarich, Pediroda, Poloni, Periaux: Comparison between different game theory methodologies in robust design optimisation. In: International Conference on Computational Methods for Coupled Problems in Science and Engineering (2005)
Dwight, R., Brezillon, J.: Adjoint Algorithms for the Optimization of 3D Turbulent Configurations. In: STAB-Symposium, Darmstadt, November 2
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Nardin, L., Sørensen, K., Hitzel, S., Tremel, U. (2009). modeFRONTIER©, a Framework for the Optimization of Military Aircraft Configurations. In: Kroll, N., Schwamborn, D., Becker, K., Rieger, H., Thiele, F. (eds) MEGADESIGN and MegaOpt - German Initiatives for Aerodynamic Simulation and Optimization in Aircraft Design. Notes on Numerical Fluid Mechanics and Multidisciplinary Design, vol 107. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04093-1_14
Download citation
DOI: https://doi.org/10.1007/978-3-642-04093-1_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04092-4
Online ISBN: 978-3-642-04093-1
eBook Packages: EngineeringEngineering (R0)