TY  - CONF
T1  - Stepwise Adaptation of Weights for Symbolic Regression with Genetic Programming
T2  - Proceedings of the Twelfth Belgium/Netherlands Conference on Artificial Intelligence (BNAIC'00)
Y1  - 2000
A1  - Eggermont, J.
A1  - van Hemert, J. I.
ED  - van den Bosch, A.
ED  - H. Weigand
KW  - data mining
KW  - genetic programming
AB  - 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.
JF  - Proceedings of the Twelfth Belgium/Netherlands Conference on Artificial Intelligence (BNAIC'00)
PB  - BNVKI, Dutch and the Belgian AI Association
ER  -