get_next_population: Generate next population
In lixiao0214/GA: Genetic Algorithms package for STAT243 course

Description Usage Arguments Author(s) Examples

get_next_population generate next population to use based on two methods. The first method is to replace the worst certain percent of original population by offsprings. The second method is to combine all parents and offsprings, and then choose the top individuals.

1	get_next_population(parents, offsprings, scheme)

`parents`	a matrix contains the original population
`offsprings`	a matrix contains all offsprings
`scheme`	"proportion" returns the first method and "re-rank" returns the second method

Xiao Li

#Generate random input and choose a specific dataset in R
regression_target <- "V1"
toy_datasets <- generate_toy_dataset(regression_target = regression_target)
main_dataset <- toy_datasets$main_dataset
population <- toy_datasets$population
population$"goodness_of_fit_values" <- runif(50,0,100)
offsprings <- population[sample(1:50,20),]
get_next_population(population,offsprings,scheme = "re-rank")