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Sampling method for evolving multiple subpopulations in genetic programming

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In this paper, we propose a new sampling technique that evolves multiple subpopulations on the sampled datasets. A number of subdatasets are sampled from the training data and a subpopulation is evolved on each of these datasets for a predefined generations. The subpopulations are then combined to form a full population that is evolved on the full training dataset for the rest generations. |

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