Skip to main content

Part of the book series: Notes on Numerical Fluid Mechanics and Multidisciplinary Design ((NNFM,volume 107))

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Poles: MOGA-II, An improved Multi-Objective Genetic Algorithm. Technical Report 2003-6, Esteco (December 2003)

    Google Scholar 

  2. Silvia, P.: The simplex method. Technical Report 2003-5, Esteco (October 2003)

    Google Scholar 

  3. Schittkowski, K.: NLPQLP: A New Fortran Implementation of a Sequential Quadratic Programming Algorithm - Users Guide, Report, Department of Mathematics, University of Bayreuth (2001)

    Google Scholar 

  4. Nash, J.: Equilibrium points in n-person games. Proceedings of the National Academy of Sciences 36(1), 48–49 (1950)

    Article  MATH  MathSciNet  Google Scholar 

  5. 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)

    Google Scholar 

  6. Clarich, Rigoni, Poloni: A new algorithm based on game theory for robust and fast multi-objective optimisation

    Google Scholar 

  7. 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)

    Google Scholar 

  8. Dwight, R., Brezillon, J.: Adjoint Algorithms for the Optimization of 3D Turbulent Configurations. In: STAB-Symposium, Darmstadt, November 2

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints 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)

Publish with us

Policies and ethics