Skip to main content

MOEA-Based Approach to Delayed Decisions for Robust Conceptual Design

  • Conference paper
Applications of Evolutionary Computing (EvoWorkshops 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3449))

Included in the following conference series:

Abstract

This paper presents a modification of our multi-objective concept-based EC method to enhance the simultaneous development of a robust conceptual front. It involves a hierarchy of abstractive descriptions of the design, and a structured EC approach. The robustness, treated here by a novel MOEA approach, is for uncertainties, which result from delaying decisions during the conceptual design stage. The suggested procedure involves a robust non-dominancy sorting algorithm.

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 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight 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. Avigad, G., Moshaiov, A., Brauner, N.: Concept-based Interactive Brainstorming in Engineering Design. J. of ACIII 8(5), 454–459 (2004)

    Google Scholar 

  2. Avigad, G., Moshaiov, A., Brauner, N.: Pareto-directed Interactive Concept-based Evolution. Submitted to the J. of GPEM (2004), http://www.eng.tau.ac.il/~moshaiov/GPEM.pdf

  3. Deb, K., Gupta, H.: Introducing Robustness in Multi-Objective Optimization. KanGAL Report No. 2004016 (2004)

    Google Scholar 

  4. Andersson, J.: Sensitivity analysis in Pareto optimal design. In: Proc. of the 4th Asia- Pacific Conf. on Simulated Evolution and Learning, SEAL 2002, Singapore, pp. 18–22 (2002)

    Google Scholar 

  5. Cristiano, J.J., White, C.C., Liker, J.K.: Application of multiattribute decision analysis to quality function deployment for target setting. IEEE Trans. on SMC – Part C - Applications and Reviews 31(3), 366–382 (2001)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Avigad, G., Moshaiov, A., Brauner, N. (2005). MOEA-Based Approach to Delayed Decisions for Robust Conceptual Design. In: Rothlauf, F., et al. Applications of Evolutionary Computing. EvoWorkshops 2005. Lecture Notes in Computer Science, vol 3449. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-32003-6_61

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-32003-6_61

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25396-9

  • Online ISBN: 978-3-540-32003-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics