generation: generation
In fransilvion/REvolution: Game of Evolution

Description Usage Arguments Value Examples

function that runs one iteration of the genetic algorithm

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generation(new_gen_folder = "G", prev_gen_folder, iternumber = 1,
  selecPor = 0.1, bgolly_iter = 1000, mutRate = 0.005,
  fitnessFun = "sum")

`new_gen_folder`	- folder where to save the new organisms
`prev_gen_folder`	- folder with organisms from the previous generation
`iternumber`	- number of the generation
`selecPor`	- ratio of organisms to select after fitness evaluation
`bgolly_iter`	- number of bgolly iterations to run
`mutRate`	- mutation rate
`fitnessFun`	- fitness function to use

mutated population and saves it in the files, fitness vecotr for all previous populations

popG0 <- generateGenerationFirst(c(100,100), 0.5, 100, "~/Desktop/test_bgolly/G0")

fitness <- list()
for (i in 1:30){
prev_folder <- paste("~/Desktop/test_bgolly/G", i-1, sep="")
res <- generation(old_population=popG0, new_gen_folder="~/Desktop/test_bgolly/G",
prev_gen_folder=prev_folder, iternumber=i, selecPor = 0.1, bgolly_iter=1000)
popG0 <- res[[1]]
fitness[[i]] <- unlist(res[[2]])
}