Yes it is

In pseudocode the algorithm is really simple:

p <- generateInitialPopulation
while (end condition is not met):
    select best fit survivors using fitness function
    mate and mutate survivors
    p <- combine offspring and elites into new population
now p has your best population

Yes i've looked into it but i need to have my initial population randomized that i am doing now, im doing the game scheduling problem and the Pair<Int,Int> is one single game

To generate the random population you can just do:

val p = List(n) { rnd.nextInt() to rnd.nextInt() }
// or if you dont like this then:
val p = List(n) { Pair(rnd.nextInt(), rnd.nextInt()) }

I see, but the random numbers cannot be linked to the teams anyhow can they?

If you want to link each creature to a team just create your own type for storing creatures:

data class Creature(val x: Int, val y: Int, val t: Team)

Oh yes, i've had my teams hardcoded. That's bad practise i guess?