The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Online Program Home
Abstract Details
|
Activity Number:
|
279
|
|
Type:
|
Topic Contributed
|
|
Date/Time:
|
Tuesday, July 31, 2012 : 8:30 AM to 10:20 AM
|
|
Sponsor:
|
IMS
|
| Abstract - #306616 |
|
Title:
|
Metaheuristic Algorithms for Finding Optimal Experimental Designs
|
|
Author(s):
|
Weng-Kee Wong*+ and Ray-Bing Chen and Weichung Wang Wang and Chien-Chih Huang
|
|
Companies:
|
University of California at Los Angeles Fielding School of Public Health and National Cheng Kung University and National Taiwan University and National Taiwan University
|
|
Address:
|
, Los Angeles, CA, 90095-1772, USA
|
|
Keywords:
|
optimal design ;
meta-heuristic ;
particle swarm optimization algorithm ;
mixture model ;
approximate design ;
D-optimality
|
|
Abstract:
|
We use non-traditional methods in statistics for finding optimal experimental designs. These methods include meta-heuristic algorithms which are widely used in computer science, econometrics, finance and engineering applications. Using a variety of criteria and mixture models as illustrative examples, I demonstrate that these methods can be effective in finding optimal designs for problems with and without constraints. We also enumerate the advantages of these methods over existing methods for finding optimal designs.
|
The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
Back to the full JSM 2012 program
|
2012 JSM Online Program Home
For information, contact jsm@amstat.org or phone (888) 231-3473.
If you have questions about the Continuing Education program, please contact the Education Department.