Skip to main content

Advertisement

Springer Nature Link
Log in

Comparison of methods for developing dynamic reduced models for design optimization

  • Published:
Soft Computing Aims and scope Submit manuscript

Abstract

In this paper we compare three methods for forming reduced models to speed up genetic-algorithm-based optimization. The methods work by forming functional approximations of the fitness function which are used to speed up the GA optimization by making the genetic operators more informed. Empirical results in several engineering design domains are presented.

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

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

Explore related subjects

Discover the latest articles, news and stories from top researchers in related subjects.

Author information

Authors and Affiliations

  1. Department of Computer Science, The University of Georgia, Athens, GA, 30602, USA

    K. Rasheed

  2. Department of Statistics, North Carolina, State University, Raleigh, NC, 27695, USA

    X. Ni

  3. College of Computing, Georgia Institute of Technology, Atlanta, GA, 30332, USA

    S. Vattam

Authors
  1. K. Rasheed
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. X. Ni
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. S. Vattam
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to K. Rasheed.

Additional information

This research was funded in part by a sub-contract from the Rutgers-based Self Adaptive Software project supported by the Advanced Research Projects Agency of the Department of Defense and by NASA under grant NAG2-1234.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Rasheed, K., Ni, X. & Vattam, S. Comparison of methods for developing dynamic reduced models for design optimization. Soft Computing 9, 29–37 (2005). https://doi.org/10.1007/s00500-003-0331-x

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00500-003-0331-x

Keywords