You are here

Stepwise Adaptation of Weights for Symbolic Regression with Genetic Programming

TitleStepwise Adaptation of Weights for Symbolic Regression with Genetic Programming
Publication TypeConference Paper
Year of Publication2000
AuthorsEggermont, J, van Hemert, JI
Conference NameProceedings of the Twelfth Belgium/Netherlands Conference on Artificial Intelligence (BNAIC'00)
PublisherBNVKI, Dutch and the Belgian AI Association
Editorvan den Bosch, A, Weigand, H
Keywordsdata 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