/*Initial data are represented as a table of normalized data which was stored in order:
* image number, filter number, fitness, parameters.*/
//for 2 chromosome
public Population RandomInitialise(int PopulationQuantity, double[,] initialData, int rowsNumder, int columnsNumber)
{
Population popolation = new Population(PopulationQuantity);
Random rnd = new Random();
ChromosomeTypeOne ch1;
ChromosomeTypeTwo ch2;
Chromosome[] ch = new Chromosome[2];
double first;
double second;
int counter = 2;
for (int i = 0; i < PopulationQuantity; i++)
{
ch2 = new ChromosomeTypeTwo(2);
ch1 = new ChromosomeTypeOne(columnsNumber - 3);
counter = (int)(rnd.NextDouble() * (double)(columnsNumber / 2));
for (int k = 0; k < counter; k++)
{
first = rnd.NextDouble();
second = first + (1 - first) * rnd.NextDouble();
ch1.ChangeChromosomeGene((int)(rnd.NextDouble() * (double)ch1.GenesNumber), first, second);
}
ch2.ChangeChromosomeGene(0, (int)(rnd.NextDouble() * (double)324));
ch[0] = ch1;
ch[1] = ch2;
Individual ind = new Individual(columnsNumber - 3, 2);
ind.SetIndividualContent(ch);
popolation.AddIndividual(ind);
}
return(popolation);
}
public Population InitialiseFromInitialData(int PopulationQuantity, double[,] initialData, int rowsNumber, int columnsNumber, double percentOfChangeGene)
{
Population popolation = new Population(PopulationQuantity);
Random rnd = new Random();
ChromosomeTypeOne ch1;
ChromosomeTypeTwo ch2;
Chromosome[] ch = new Chromosome[2];
double first;
double second;
int counter = 2;
int colum;
int firstRow = 0;
int secondRow = 0;
int count;
for (int i = 0; i < PopulationQuantity; i++)
{
ch2 = new ChromosomeTypeTwo(1);
ch1 = new ChromosomeTypeOne(columnsNumber - 3);
//for half of all genes
counter = (int)(rnd.NextDouble() * (double)(columnsNumber * percentOfChangeGene));
firstRow = (int)(rnd.NextDouble() * (double)rowsNumber);
secondRow = (int)(rnd.NextDouble() * (double)rowsNumber);
for (int k = 0; k < counter; k++)
{
colum = (int)(rnd.NextDouble() * (double)ch1.GenesNumber);
count = 0;
/*while (initialData[firstRow, colum + 3] == initialData[secondRow, colum + 3] && (count < 100))
* {
* secondRow = (int)(rnd.NextDouble() * (double)rowsNumber);
* count++;
* }*/
first = initialData[firstRow, colum + 3];
second = initialData[secondRow, colum + 3];
if (first < second)
{
ch1.ChangeChromosomeGene(colum, first, second);
}
else
{
ch1.ChangeChromosomeGene(colum, second, first);
}
}
ch2.ChangeChromosomeGene(0, (int)initialData[firstRow, 1]);
ch[0] = ch1;
ch[1] = ch2;
Individual ind = new Individual(columnsNumber - 3, 2);
ind.SetIndividualContent(ch);
popolation.AddIndividual(ind);
}
return(popolation);
}
public Population MutationFromInitialDataInSecondChromosome(Population population, double[,] initialData, int rowsNumber)
{
Random rnd = new Random();
int indx = (int)(rnd.NextDouble() * (double)population.PopulationQuantity);
Individual indiv = population.GetIndividualByIndex(indx);
Chromosome[] ch = indiv.GetIndividualContent();
ChromosomeTypeTwo chr = (ChromosomeTypeTwo)ch[1];
int colum = 1;
int row = (int)(rnd.NextDouble() * (double)rowsNumber);
chr.ChangeChromosomeGene(0, (int)initialData[row, colum]);
indiv.SetIndividualContent(ch);
population.SetIndividualByIndex(indx, indiv);
return(population);
}