Main menu
You are here
Historical Interest Only
This is a static HTML version of an old Drupal site. The site is no longer maintained and could be deleted at any point. It is only here for historical interest.
Stepwise Adaptation of Weights for Symbolic Regression with Genetic Programming
23 August 2007 - 1:54pm — Jano.van.Hemert
| Title | Stepwise Adaptation of Weights for Symbolic Regression with Genetic Programming |
| Publication Type | Conference Paper |
| Year of Publication | 2000 |
| Authors | Eggermont, J, van Hemert, JI |
| Conference Name | Proceedings of the Twelfth Belgium/Netherlands Conference on Artificial Intelligence (BNAIC'00) |
| Publisher | BNVKI, Dutch and the Belgian AI Association |
| Editor | van den Bosch, A, Weigand, H |
| Keywords | data mining; genetic programming |
| Abstract | In this paper we continue study on the Stepwise Adaptation of Weights (SAW) technique. Previous studies on constraint satisfaction and data clas-sification have indicated that SAW is a promising technique to boost the performance of evolutionary algorithms. Here we use SAW to boost per-formance of a genetic programming algorithm on simple symbolic regression problems. We measure the performance of a standard GP and two variants of SAW extensions on two different symbolic regression problems. |
| Full Text |
