using UnityEngine;
using System.Collections;
using System.Collections.Generic;

public class RandomSelection : SelectionMethod {

    public RandomSelection() : base() {

        }
    public override List<Individual> selectIndividuals(List<Individual> oldpop, int num, int individuos_elitismo, float k) {
        int oldpop_len = oldpop.Count;
        List<Individual> selectedInds = new List<Individual>();
        oldpop.Sort((x, y) => y.Fitness.CompareTo(x.Fitness));
        for (int j = 0; j < individuos_elitismo; j++) {
            selectedInds.Add(oldpop[j].Clone());
            }
        float prob_aux;
        for (int i = 0; i < num - individuos_elitismo; i++) {
            Individual ind = oldpop[Random.Range(0, oldpop_len)];
            Individual ind2 = oldpop[Random.Range(0, oldpop_len)];
            while (ind2.Equals(ind)) {
                ind2 = oldpop[Random.Range(0, oldpop_len)];
                }
            prob_aux = Random.Range(0.0f, 1.0f);
            if (ind.fitness > ind2.fitness && prob_aux < k) {
                selectedInds.Add(ind.Clone());
                } else {
                selectedInds.Add(ind2.Clone());
                }
            }
        return selectedInds;
        }


    List<Individual> randomSelection(List<Individual> oldpop, int num) {

        List<Individual> selectedInds = new List<Individual>();
        int popsize = oldpop.Count;
        for (int i = 0; i < num; i++) {
            //make sure selected individuals are different
            Individual ind = oldpop[Random.Range(0, popsize)];
            while (selectedInds.Contains(ind)) {
                ind = oldpop[Random.Range(0, popsize)];
                }
            selectedInds.Add(ind.Clone()); //we return copies of the selected individuals
            }

        return selectedInds;
        }

    }