/**
* Creates a number of offspring by combining (using crossover) the current
* Gene's chromosome with another Gene's chromosome.
* Usually two parents will produce an equal amount of offpsring, although
* in other reproduction strategies the number of offspring produced depends
* on the fitness of the parents.
* @param other: the other parent we want to create offpsring from
* @return Array of Gene offspring (default length of array is 2).
* These offspring will need to be added to the next generation.
*/
public override GeneAbstract <int>[] Reproduce(GeneAbstract <int> other)
{
GeneA[] offspring = new GeneA[2];
offspring[0].mChromosome = singlePointCrossover(other.mChromosome);
offspring[1].mChromosome = singlePointCrossover(other.mChromosome);
return(offspring);
}
// --- functions:
/**
* Creates the starting population of Gene classes, whose chromosome contents are random
* @param size: The size of the popultion is passed as an argument from the main class
*/
public void InitializeAlgorithm(int size)
{
// initialize the arraylist and each gene's initial weights HERE
mPopulation = new List <GeneA>();
for (int i = 0; i < size; i++)
{
GeneA gene = new GeneA();
gene.mChromosome = new int[CHROMOSOME_SIZE];
gene.RandomizeChromosome();
}
}