Feature Selection using Genetic Algorithms in R

Imagine a black box which can help us to decide over an unlimited number of possibilities, with a criterion such that we can find an acceptable solution (both in time and quality) to a problem that we formulate. Genetic Algortithms (GA) are a mathematical model inspired by the famous Charles Darwin's idea of natural selection. The natural selection preserves only the fittest individuals, over the different generations. Imagine a population of 100 rabbits in 1900, if we look the population today, we are going to others rabbits more fast and skillful to find food than their ancestors. In machine learning, one of the uses of genetic algorithms is to pick up the right number of variables in order to create a predictive model.