Optimize by Generation (YAGGA2)


Synopsis

Improved version of Yet Another GGA (Generating Geneting Algorithm).


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.

In addition to the usual YAGGA operator, this operator allows more feature generators and provides several techniques for intron prevention. This leads to smaller example sets containing less redundant features.

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 should be used.

For more information please refer to

Mierswa, Ingo (2007): RobustGP: Intron-Free Multi-Objective Feature Construction (to appear)


Input


Output


Parameters


ExampleProcess