/// <summary>
/// Example method evaluating optimization cycles of different matchers with 100 generated dummy participants
/// </summary>
public void TaskRunCompareMatchersOptimization()
{
GroupFormationAlgorithm gf;
TextFileCohortReaderWriter CohortWriter = new TextFileCohortReaderWriter();
string filename = "ExampleOptimizationProcessForeachMatcher.csv";
// columns header of CSV file
string output = "MatcherName" + separator + "Cycle" + separator + "CohortPerformanceIndex" + separator + "CohortAverage" + separator + "OptimizationCount" + newLine;
CohortWriter.WriteTemporaryResultsToFile(output, filename, true);
List <IMatcher> matchers = new List <IMatcher> {
new GroupALGroupCentricMatcher(), new GroupALParticipantCentricMatcher(), new RandomMatcher()
};
int GroupSize = 6;
int cycles = 10;
int CountOfOptimizations = 5;
for (int i = 0; i < cycles; i++)
{
participants = ParticipantGenerator.DummyEntries(100);
foreach (IMatcher matcher in matchers)
{
gf = new GroupFormationAlgorithm(participants, matcher, new GroupALEvaluator(), new GroupALOptimizer(matcher), GroupSize);
gf.DoOneFormation();
for (int j = 0; j < CountOfOptimizations; j++)
{
if (j == 0)
{
output = gf.Cohort.whichMatcherUsed + separator + i + separator + gf.Cohort.results.performanceIndex + separator + gf.Cohort.results.avg + separator + j + newLine;
CohortWriter.WriteTemporaryResultsToFile(output.Replace(",", replacementForNumberComma), filename, false);
continue;
}
gf.OptimizeCohort();
output = gf.Cohort.whichMatcherUsed + separator + i + separator + gf.Cohort.results.performanceIndex + separator + gf.Cohort.results.avg + separator + j + newLine;
CohortWriter.WriteTemporaryResultsToFile(output.Replace(",", replacementForNumberComma), filename, false);
}
}
}
}