public void RandomPermutationAlgorythm()
{
int arraySize = dataFileReader.myObject.Dimension;
int[] bestIndexesArray = new int[arraySize];
for (int i = 0; i < arraySize; i++)
{
bestIndexesArray[i] = i;
}
ExcelWorker excel = new ExcelWorker("Random alg");
int generationCounter = 1;
while (generationCounter < MAX_COUNTER_VALUE)
{
int[] tmp = Permutator.GetRandomPermutation(bestIndexesArray);
int tmpCost = CountCost(tmp);
int mainCost = CountCost(bestIndexesArray);
if (tmpCost < mainCost)
{
Array.Copy(tmp, bestIndexesArray, arraySize);
}
excel.AddCellToWorksheetIntoColumnsAB(generationCounter++, CountCost(bestIndexesArray));
}
#region Show result
string bestResult = "";
foreach (var item in bestIndexesArray)
{
bestResult += item.ToString() + "; ";
}
textBoxTotalCost.Text = bestResult;
#endregion
}
private void buttonGA_Click(object sender, EventArgs e)
{
Stopwatch timer = new Stopwatch();
timer.Start();
#region Create and add name of colums to excel
ExcelWorker excel = new ExcelWorker("GA alg");
excel.AddStringCellToWorksheetIntoColumnsABCD("Generation number", "Best individual cost", "Average cost", "Worst cost");
#endregion
List <AverageCounter> populationDataList = new List <AverageCounter>();
for (int i = 0; i < POPULATIONS_NUMBER; i++)
{
Population population = new Population(StaticMatrixObject.Dimension);
populationDataList.Add(population.RunAlgorythmWithCounterCondition());
}
AverageCounter allPopulationsAverage = new AverageCounter();
int populationSize = populationDataList[0].generationCounterList.Count;
for (int i = 0; i < populationSize; i++)
{
double generationCounterList = SumElementsAndCountAverageOfAverageGenerationCounterList(populationDataList, i);
double bestIndividualCostList = SumElementsAndCountAverageOfBest(populationDataList, i);
double averageCostList = SumElementsAndCountAverageOfAverage(populationDataList, i);
double worstCostList = SumElementsAndCountAverageOfAverageWorst(populationDataList, i);
allPopulationsAverage.SaveData(generationCounterList, bestIndividualCostList, averageCostList, worstCostList);
}
for (int i = 0; i < populationSize; i++)
{
excel.AddCellToWorksheetIntoColumnsABCD <double>(
allPopulationsAverage.generationCounterList[i],
allPopulationsAverage.bestIndividualCostList[i],
allPopulationsAverage.averageCostList[i],
allPopulationsAverage.worstCostList[i]
);
}
#region Standard count
ExcelWorker excelStandardDeviations = new ExcelWorker("GA alg standard deviations");
excelStandardDeviations.AddStringCellToWorksheetIntoColumnsABCD("Generation number", "Best individual cost", "Average cost", "Worst cost");
double best, average, worst;
for (int q = 0; q < POPULATIONS_NUMBER; q++)
{
double[] allPopulationVariablesBest = new double[POPULATIONS_NUMBER];
for (int w = 0; w < populationDataList.Count; w++)
{
allPopulationVariablesBest[w] = populationDataList[w].bestIndividualCostList[q];
}
best = StandardDeviationCounter.CountStandardDeviation(allPopulationsAverage.bestIndividualCostList[q], allPopulationVariablesBest);
double[] allPopulationVariablesAverage = new double[POPULATIONS_NUMBER];
for (int w = 0; w < populationDataList.Count; w++)
{
allPopulationVariablesAverage[w] = populationDataList[w].averageCostList[q];
}
average = StandardDeviationCounter.CountStandardDeviation(allPopulationsAverage.bestIndividualCostList[q], allPopulationVariablesAverage);
double[] allPopulationVariablesWorst = new double[POPULATIONS_NUMBER];
for (int w = 0; w < populationDataList.Count; w++)
{
allPopulationVariablesWorst[w] = populationDataList[w].worstCostList[q];
}
worst = StandardDeviationCounter.CountStandardDeviation(allPopulationsAverage.bestIndividualCostList[q], allPopulationVariablesWorst);
excelStandardDeviations.AddCellToWorksheetIntoColumnsABCD(q, best, average, worst);
}
#endregion
timer.Stop();
textBoxTime.Text = $"Czas = {timer.ElapsedMilliseconds}ms.";
}
