Optimize by Generation (YAGGA)


Synopsis

Yet Another GGA (Generating Geneting Algorithm). On average individuals (= selected attribute sets) will keep their original length, unless longer or shorther ones prove to have a better fitness.


Description

YAGGA is an acronym for Yet Another Generating Genetic Algorithm. Its approach to generating new attributes differs from the original one. The (generating) mutation can do one of the following things with different probabilities:

Thus it is guaranteed that the length of the feature vector can both grow and shrink. On average it will keep its original length, unless longer or shorter individuals prove to have a better fitness. Since this operator does not contain algorithms to extract features from value series, it is restricted to example sets with only single attributes. For (automatic) feature extraction from values series the value series plugin for RapidMiner written by Ingo Mierswa should be used. It is available at <a href="http://rapid-i.com">http://rapid-i.com</a>.


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ExampleProcess