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Erschienen in:
2001 | OriginalPaper | Buchkapitel
Adaption of Operator Probabilities in Genetic Programming
verfasst von : Jens Niehaus, Wolfgang Banzhaf
Erschienen in: Genetic Programming
Verlag: Springer Berlin Heidelberg
Enthalten in: Professional Book Archive
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In this work we tried to reduce the number of free parameters within Genetic Programming without reducing the quality of the results. We developed three new methods to adapt the probabilities, different genetic operators are applied with. Using two problems from the areas of symbolic regression and classification we showed that the results in these cases were better than randomly chosen parameter sets and could compete with parameter sets chosen with empirical knowledge.