Second version of the evolve method

This evolve method realize the selection of the parents with two methods (for the moment) : elite and random. The it tags every selected individual with the index of it's mate in the population. Then the individual which sould be mutated are tagged. for each individual of the population we check if they need to be crossed and/or mutated and the we apply the operations and create a new individual for each operation applied.

Usage

evolve2m(X, y, clf, pop, featEval, generation)

Arguments

X:

Dataset to classify

y:

Variable to predict

clf:

The claffifier object containing the different parameters

pop:

The population to be evolved

featEval:

A dataframe with the evaluation of each variable of the dataset, used for some mutator.

Value

A list with the size_pop bests of the combination of the old population with the new population