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Paper ID: 2718

Stepwise Adaptation of Weights for Symbolic Regression with Genetic Programming
Eggermont,J. van Hemert,J.I. ,

Appeared in: Proceedings of the Twelfth Belgium/Netherlands Conference on Artificial Intelligence (BNAIC'00),
Page Numbers:259--266
Publisher: BNVKI, Dutch and the Belgian AI Association
Year: 2000
ISBN/ISSN:
Contributing Organisation(s):
Field of Science: e-Science

URL:

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.

Keywords: data mining, genetic programming,


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