public void TestGreedyMethodeI2()
{
//tests 12flat 2Iter
const int optCountFlat = 6;
const double optFine = 3.0;
const double oneFirstFlat = 6.6;
const double startFlat = 6.6;
var list1 = new List <double> {
3.9, 6.0, 6.6, 6.6, 6.6, 7.2
};
var list2 = new List <double> {
7.5, 7.5, 7.5, 7.8, 8.1, 8.7
};
var optItem1 = new List <double> {
3.9, 6.0, 6.6, 6.6, 6.6, 7.2
};
var optItem2 = new List <double> {
8.1, 8.7, 8.1, 7.5, 8.1, 7.5
};
var result = GreedyMethodeSect.GreedyMethode(new DataMethode(list1, list2, optCountFlat), startFlat, "Middle");
Assert.AreEqual(result.FinalPlaceOneFlat.Except(optItem1).ToList().Count, 0);
Assert.AreEqual(result.FinalPlaceTwoFlat.Except(optItem2).ToList().Count, 0);
Assert.AreEqual(result.Fine, optFine);
Assert.AreEqual(result.NewFirstOneFlat, oneFirstFlat);
}
private void PerformHAlg(InputSectionDataAlg inSectionData)
{
ValidateConditions.Validate(inSectionData, true);
realizat_label.Text = "".ToString(CultureInfo.InvariantCulture);
lossesOne_label.Text = "".ToString(CultureInfo.InvariantCulture);
resultGreedy_label.Text = "".ToString(CultureInfo.InvariantCulture);
var flatCount = inSectionData.ListLenOneFlat.Count + inSectionData.ListLenTwoFlat.Count;
realizat_label.Text +=
string.Format(MessagesText.RealizationForRectangles, flatCount).ToString(CultureInfo.InvariantCulture);
// lossesOne_label.Text += string.Format(MessagesText.SummarizeAdditionLengthForH, inData.SumDelta.ToString(CultureInfo.InvariantCulture));
var dataAlg = new DataPerformAlgorithm();
var resultDataAfterGrouping = GroupingOnTheFloors.GroupingFlat(inSectionData);
dataAlg.ListLenOneFlat =
PreparationSquares.FlatsWithTheAdditiveLength(resultDataAfterGrouping.ListResultOneFlat);
dataAlg.ListLenTwoFlat =
PreparationSquares.FlatsWithTheAdditiveLength(resultDataAfterGrouping.ListResultTwoFlat);
dataAlg.FineAfterGrouping = resultDataAfterGrouping.Fine;
//for print in txt-file
/*
* var str1 = new StringBuilder();
* var str2 = new StringBuilder();
* foreach (var elem in dataAlg.ListLenOneFlat)
* {
* str1.Append(elem + " ");
* }
*
* foreach (var elem in dataAlg.ListLenTwoFlat)
* {
* str2.Append(elem + " ");
* }
*
* File.WriteAllText(@"C:\Users\marchenko.a\Downloads\Модифицированная Статья\ExampleTwoFirstList.txt", str1.ToString());
* File.WriteAllText(@"C:\Users\marchenko.a\Downloads\Модифицированная Статья\ExampleTwoSecondList.txt", str2.ToString());
*/
var myStopWatchGreedy = new Stopwatch();
myStopWatchGreedy.Start();
var resultList = new ResultListGreedyMethode();
foreach (var flag in resultList.PositionStart)
{
var allIterationsResult = new ResultGreedyMethode[Constraints.NumberOfIteration];
var totalOptimalResult = new ResultGreedyMethode(double.MaxValue);
var firstOneFlat = 0.0; // в RGreedyMethode
var numberIteration = 1;
while (numberIteration <= Constraints.NumberOfIteration)
{
var resultGreedyIter =
GreedyMethodeSect.GreedyMethode(
new DataMethode(dataAlg.ListLenOneFlat, dataAlg.ListLenTwoFlat, inSectionData.OptCountFlatOnFloor),
firstOneFlat, flag);
firstOneFlat = resultGreedyIter.NewFirstOneFlat;
resultGreedyIter.NumIter = numberIteration;
resultGreedyIter.Fine = Math.Round(resultGreedyIter.Fine * inSectionData.CountFloor, 1);
resultGreedyIter.Fine = Math.Round(resultGreedyIter.Fine + dataAlg.FineAfterGrouping, 1);
resultGreedyIter.ListLenExceedOneFlat = resultDataAfterGrouping.ListExcessOneFlat;
resultGreedyIter.ListLenExceedTwoFlat = resultDataAfterGrouping.ListExcessTwoFlat;
allIterationsResult[numberIteration - 1] = resultGreedyIter;
if (resultGreedyIter.Fine < totalOptimalResult.Fine)
{
totalOptimalResult = resultGreedyIter;
}
//Вывод результата по итерациям
//PrintResult.GreedyIterationPrintResult(resultGreedyIter, inData.CountFloor, true, resultGreedy_label);
numberIteration++;
if (numberIteration > Constraints.NumberOfIteration)
{
resultList.Results.Add(totalOptimalResult);
}
}
}
myStopWatchGreedy.Stop();
PrintResult.GreedyIterationPrintResult(resultList.Results.OrderBy(a => a.Fine).First(), inSectionData.CountFloor,
false, resultGreedy_label);
resultGreedy_label.Text +=
string.Format(MessagesText.WorkTimeHeuristicAlgoruthm,
myStopWatchGreedy.ElapsedMilliseconds / 1000.0).ToString(CultureInfo.InvariantCulture).ToString(CultureInfo.InvariantCulture);
}