Skip to main content

A System Engineering Conception of Multi-objective Optimization for Multi-physics System

  • Conference paper
Multiphysics Modelling and Simulation for Systems Design and Monitoring (MMSSD 2014)

Part of the book series: Applied Condition Monitoring ((ACM,volume 2))

Included in the following conference series:

Abstract

At present, a system involves more and more domains and becomes more and more complex. In this paper, a system engineering conception of multi-objective optimization for a multi-physics system is formed. An example of multi-physics system design illustrates the presented approach.

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. Deb, K.: Multi-Objective Optimization Using Evolutionary Algorithms, Chichester, U.K. (2001)

    Google Scholar 

  2. Deb, K., Pratap, A., Agarwal, S., Meyarivan, T.: A Fast and Elitist Multiobjective Genetic Algorithm: NSGA-II. IEEE Trans. Evol., Comput. 6(2), 182–197 (2002)

    Article  Google Scholar 

  3. Poles, S.: MOGA-II An improved Multi-Objective Genetic Algorithm. Esteco, Italy (2003)

    Google Scholar 

  4. Seshadri, A.: Multi-Objective Optimization using Evolutionary Algorithms (MOEA)

    Google Scholar 

  5. Rigoni, E.: MOSA Multi-Objective Simulated Annealing, Esteco, Italy (2003)

    Google Scholar 

  6. Systems Engineering Tutorial for Rational Rhapsody, IBM (2009)

    Google Scholar 

  7. MBSE PAK for Rhapsody USER GUIDE, Phoenix Integration, Blacksburg, USA (2014)

    Google Scholar 

  8. Hammami, O.: SYNSYS-ME: Seamless System Engineering to mechanical flow through multiobjective optimization and requirements analysis. In: 8th Annual IEEE Systems Conference (SysCon), Ottawa, Canada (2014)

    Google Scholar 

  9. Hammadi, M., Choley, J., Penas, O., Riviere, A., Louati, J., Haddar, M.: A new multi-criteria indicator for mechatronic system performance evaluation in preliminary design level. In: 9th France-Japan Mechatronics, Paris, France (2012)

    Google Scholar 

  10. Raka, S.: Methodes et outils ensemblistes pour le pre-dimensionnement de systemes mecatroniques. Ensea, Cergy-Pontoise, France (2011)

    Google Scholar 

  11. Peak, R.S., Burkhart, R., Friedenthal, S., Wilson, M., Bajaj, M., Kim, I.: Simulation-Based Design Using SysML Part 1: A Parametrics Primer. In: INCOSE International Symposium, San Diego, U.S.A. (2007)

    Google Scholar 

  12. Peak, R., Burkhart, R.M., Friedenthal, S.A., Wilson, M.W., Bajaj, M., Kim, I.: Simulation-Based Design Using SysML Part 2: Celebrating Diversity by Example. In: INCOSE Intl. Symposium, San Diego, U.S.A. (2007)

    Google Scholar 

  13. Hammadi, M.: Contribution a l’integration de la modelisation et la simulation multi-physique pour la conception des systemes mecatroniques. In: LISMMA and SUPMECA, Paris, France (2012)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mian Chen .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Chen, M., Hammami, O. (2015). A System Engineering Conception of Multi-objective Optimization for Multi-physics System. In: Haddar, M., et al. Multiphysics Modelling and Simulation for Systems Design and Monitoring. MMSSD 2014. Applied Condition Monitoring, vol 2. Springer, Cham. https://doi.org/10.1007/978-3-319-14532-7_31

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-14532-7_31

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-14531-0

  • Online ISBN: 978-3-319-14532-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics