Skip to Main Content
ASME Press Select Proceedings

Intelligent Engineering Systems Through Artificial Neural Networks, Volume 17

Editor
C. H. Dagli
C. H. Dagli
Search for other works by this author on:
ISBN-10:
0791802655
No. of Pages:
650
Publisher:
ASME Press
Publication date:
2007

In Particle Swarm Optimization (PSO), fitness functions play a very important role. However, if we only have some observation points and have no explicit fitness function of independent and dependent variables of these points, the applications of PSO will meet some obvious difficulties. In this paper, we used kriging models to address this problem. We used kriging models to construct fitness functions based on some known observation points and then according to the constructed fitness functions, PSO was adopted to perform the optimization operation. A novel algorithm combining PSO with kriging models was developed and three simulated cases were investigated. The results from these cases showed our algorithm successfully found the optimal points using only some known observation points.

This content is only available via PDF.
Close Modal
This Feature Is Available To Subscribers Only

Sign In or Create an Account

Close Modal
Close Modal