source("ea_crossover.R")

n_point_crossover <- function(p1, p2, mask_gen, iterations) {
    
    indivs <- c()

    for(i in 1:iterations) {
        children <- ea.crossover(p1, p2, mask_gen())
        p1 <- children[[1]]
        p2 <- children[[2]]

        indivs <- append(indivs, c(indiv2int(p1), indiv2int(p2)))

    }


    return(indivs)
}

experiment <- function() {
    p1 <- rand.individual(10)
    p2 <- rand.individual(10)
   
    iterations <- 10000

    tmp_indivs <- n_point_crossover(p1, p2, ea.n_point_mask(10, 1), iterations)
    df <- data.frame(i=1:iterations, individual=tmp_indivs)
    df["crossover"] <- "1 point"

    tmp_indivs <- n_point_crossover(p1, p2, ea.n_point_mask(10, 2), iterations)
    df <- rbind(df, data.frame(i=(iterations+1):(2*iterations)
                               ,individual=tmp_indivs
                               ,crossover="2 point"))

    tmp_indivs <- n_point_crossover(p1, p2, ea.uniform_mask(10), iterations)
    df <- rbind(df, data.frame(i=(2*iterations+1):(3*iterations)
                               ,individual=tmp_indivs
                               ,crossover="uniform"))

    return(df)
}