Skip to content Skip to navigation
University of Warwick
  • Study
  • |
  • Research
  • |
  • Business
  • |
  • Alumni
  • |
  • News
  • |
  • About

University of Warwick
Publications service & WRAP

Highlight your research

  • WRAP
    • Home
    • Search WRAP
    • Browse by Warwick Author
    • Browse WRAP by Year
    • Browse WRAP by Subject
    • Browse WRAP by Department
    • Browse WRAP by Funder
    • Browse Theses by Department
  • Publications Service
    • Home
    • Search Publications Service
    • Browse by Warwick Author
    • Browse Publications service by Year
    • Browse Publications service by Subject
    • Browse Publications service by Department
    • Browse Publications service by Funder
  • Help & Advice
University of Warwick

The Library

  • Login
  • Admin

Reliability-based optimization for multiple constraints with evolutionary algorithms

Tools
- Tools
+ Tools

Daum, David A., Deb, Kalyanmoy and Branke, Jürgen (2007) Reliability-based optimization for multiple constraints with evolutionary algorithms. In: IEEE Congress on Evolutionary Computation, Singapore, 25-28 September 2007. Published in: IEEE Transactions on Evolutionary Computation pp. 911-918. doi:10.1109/CEC.2007.4424567 ISSN 1089-778X.

[img]
Preview
PDF
WRAP_Branke_reliability_based_optimization.pdf - Draft Version - Requires a PDF viewer.

Download (564Kb)
Official URL: http://dx.doi.org/10.1109/CEC.2007.4424567

Request Changes to record.

Abstract

In this paper, we combine reliability-based optimization with a multi-objective evolutionary algorithm for handling uncertainty in decision variables and parameters. This work is an extension to a previous study by the second author and his research group to more accurately compute a multi-constraint reliability. This means that the overall reliability of a solution regarding all constraints is examined, instead of a reliability computation of only one critical constraint. First, we present a brief introduction into this so-called 'structural reliability' aspects. Thereafter, we introduce a method for identifying inactive constraints according to the reliability evaluation. With this method, we show that with less number of constraint evaluations, an identical solution can be achieved. Furthermore, we apply our approach to a number of problems including a real-world car side impact design problem to illustrate our method.

Item Type: Conference Item (Paper)
Subjects: Q Science > Q Science (General)
Q Science > QA Mathematics
Divisions: Faculty of Social Sciences > Warwick Business School
Library of Congress Subject Headings (LCSH): Reliability (Engineering) -- Statistical methods, Statistical decision -- Research, Evolutionary computation -- Research, Mathematical optimization, Uncertainty (Information theory)
Journal or Publication Title: IEEE Transactions on Evolutionary Computation
Publisher: IEEE
ISSN: 1089-778X
Official Date: 2007
Dates:
DateEvent
2007Published
Page Range: pp. 911-918
DOI: 10.1109/CEC.2007.4424567
Status: Not Peer Reviewed
Access rights to Published version: Open Access (Creative Commons)
Conference Paper Type: Paper
Title of Event: IEEE Congress on Evolutionary Computation
Type of Event: Conference
Location of Event: Singapore
Date(s) of Event: 25-28 September 2007

Request changes or add full text files to a record

Repository staff actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics

twitter

Email us: wrap@warwick.ac.uk
Contact Details
About Us