Metrics for Quality Assessment of a Multiobjective Design Optimization Solution Set

Jin Wu; Shapour Azarm

doi:10.1115/1.1329875

Journal of Mechanical Design | Volume 123 | Issue 1 | TECHNICAL PAPERS

< Previous Article Next Article >

TECHNICAL PAPERS

Metrics for Quality Assessment of a Multiobjective Design Optimization Solution Set

Jin Wu, Graduate Research Assistant and Shapour Azarm, Professor

[+] Author and Article Information

Jin Wu, Shapour Azarm

Department of Mechanical Engineering, University of Maryland, College Park, MD 20742

J. Mech. Des 123(1), 18-25 (Jan 01, 2000) (8 pages) doi:10.1115/1.1329875 History: Received January 01, 2000

Article

References

Figures

Tables

Citing Articles

Purchase this Content

$25.00

Purchase

Learn about subscription and purchase options

Your Session has timed out. Please sign back in to continue.

References

Figures

Good point (p_g), bad point (p_b), ideal point (p_I), and max point (p_M) in the objective space

View Large | Save Figure | Download Slide (.ppt)

Dominant, inferior, and non-inferior regions of a point

View Large | Save Figure | Download Slide (.ppt)

Dominant, inferior, non-inferior, and observed pareto frontier regions of a set P

View Large | Save Figure | Download Slide (.ppt)

Tables

Errata

Discussions

Web of Science® Times Cited: 100

Some tools below are only available to our subscribers or users with an online account.

PDF
Email

You must be logged in as an individual user to share content.

Return to: Metrics for Quality Assessment of a Multiobjective Design Optimization Solution Set

Copyright in the material you requested is held by the American Society of Mechanical Engineers (unless otherwise noted). This email ability is provided as a courtesy, and by using it you agree that you are requesting the material solely for personal, non-commercial use, and that it is subject to the American Society of Mechanical Engineers' Terms of Use. The information provided in order to email this topic will not be used to send unsolicited email, nor will it be furnished to third parties. Please refer to the American Society of Mechanical Engineers' Privacy Policy for further information.
Share
Get Citation

Wu J, Azarm S. Metrics for Quality Assessment of a Multiobjective Design Optimization Solution Set. ASME. J. Mech. Des. 2000;123(1):18-25. doi:10.1115/1.1329875.

Download citation file:

RIS (Zotero)

EndNote

BibTex

Medlars

ProCite

RefWorks

Reference Manager

© Copyright
Get Alerts

Processing your request... Please Wait.

Metrics for Quality Assessment of a Multiobjective Design Optimization Solution Set

References

Figures

Good point (p_g), bad point (p_b), ideal point (p_I), and max point (p_M) in the objective space

Dominant, inferior, and non-inferior regions of a point

Dominant, inferior, non-inferior, and observed pareto frontier regions of a set P

Overall pareto spread and k^th pareto spread

Indifference region T_μ(q), as shown by a shaded grid

Vibrating platform example

Two sets of observed Pareto solutions

Tables

Errata

Discussions

Related Content

Journals

Conference Proceedings

eBooks

Metrics for Quality Assessment of a Multiobjective Design Optimization Solution Set

References

Figures

Good point (pg), bad point (pb), ideal point (pI), and max point (pM) in the objective space

Dominant, inferior, and non-inferior regions of a point

Dominant, inferior, non-inferior, and observed pareto frontier regions of a set P

Overall pareto spread and kth pareto spread

Indifference region Tμ(q), as shown by a shaded grid

Vibrating platform example

Two sets of observed Pareto solutions

Tables

Errata

Discussions

Related Content

Journals

Conference Proceedings

eBooks

Good point (p_g), bad point (p_b), ideal point (p_I), and max point (p_M) in the objective space

Overall pareto spread and k^th pareto spread

Indifference region T_μ(q), as shown by a shaded grid