public static float[] CrossAvg(OrgStats f, OrgStats s, float mutRate, int mutChances)
{
float[] gene = new float[4];
float[] first = f.Gene(), second = s.Gene();
for (int i = 0; i < 4; ++i)
{
gene[i] = (first[i] + second[i]) / 2;
}
return(Mutate(gene, mutRate, mutChances));
}
public static OrgStats[] NewStats(int size)
{
OrgStats[] stats = new OrgStats[size];
for (int i = 0; i < size; ++i)
{
stats[i] = new OrgStats();
stats[i].angle = Random.Range(MIN_ANGLE, MAX_ANGLE);
stats[i].range = Random.Range(MIN_RANGE, MAX_RANGE);
stats[i].speed = Random.Range(MIN_SPEED, MAX_SPEED);
stats[i].rSpeed = Random.Range(MIN_RS, MAX_RS);
}
return(stats);
}
public static float[] CrossAlternate(OrgStats f, OrgStats s, bool start, float mutRate, int mutChances)
{
float[] gene = new float[4];
float[] first = f.Gene(), second = s.Gene();
for (int i = 0; i < 4; ++i, start = !start)
{
if (start)
{
gene[i] = first[i];
}
else
{
gene[i] = second[i];
}
}
return(Mutate(gene, mutRate, mutChances));
}