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12

EUROGP
2001
Springer

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Adaptive Genetic Programming Applied to New and Existing Simple Regression Problems

13 years 9 months ago

Adaptive Genetic Programming Applied to New and Existing Simple Regression Problems

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Abstract. In this paper we continue our study on adaptive genetic programming. We use Stepwise Adaptation of Weights (saw) to boost performance 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 from literature. Also, we propose a model for randomly generating polynomials which we then use to further test all three gp variants.

Jeroen Eggermont, Jano I. van Hemert

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EUROGP 2001 | Genetic Programming | Optimization | Simple Symbolic Regression | Symbolic Regression Problems |

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Added	28 Jul 2010
Updated	28 Jul 2010
Type	Conference
Year	2001
Where	EUROGP
Authors	Jeroen Eggermont, Jano I. van Hemert

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