protected SimulatedAnnealingOptimTest(
string id, IOptimizationTestFactory optimizationTestFactory, TestMeasureList testMeasures) :
base(id, (ISimAnnTestConfig)optimizationTestFactory.Scenario.TestsConfig)
{
this.optimizationTestFactory = optimizationTestFactory;
this.testMeasures = testMeasures;
}
protected IEnumerable <TestMeasure> GetTestMeasures(
IEnumerable <ArrayParameter> arrayParameters, TestMeasureList measures)
{
//tries to get all measures associated with the requested parameters
return(from arrayParameter in arrayParameters
where measures.Contains(arrayParameter)
select measures[arrayParameter]);
}
protected List <double[]> GetAnalysisData(
TestMeasureList testMeasures, int xVarIdx, int seriesVarIdx, Dictionary <int, double> fixedParams)
{
Console.WriteLine("\n__________________________________________");
Console.WriteLine("Calculating data...");
//gets all possible values for the x- and series-variable
var xValues = this.GetParameterValues(xVarIdx);
var seriesValues = this.GetParameterValues(seriesVarIdx);
//creates structure to hold data
var numVars = (2 * seriesValues.Length) + 1;
var data = new List <double[]>();
foreach (var x in xValues)
{
//creates data point for each possible value of the x-var
var dataPoint = new double[numVars];
dataPoint[0] = x;
//goes to all series to fill the data point with the corresponding fitness values
for (var sIdx = 1; sIdx < numVars; sIdx += 2)
{
//gets all possible array params according to requested values
var s = seriesValues[sIdx / 2];
var arrayParameters = this.GetPossibleArrayParams(xVarIdx, x, seriesVarIdx, s, fixedParams);
//gets all associated test measures
var measures = this.GetTestMeasures(arrayParameters, testMeasures);
if (testMeasures.Count == 0)
{
Console.WriteLine(string.Format(CultureInfo.InvariantCulture,
"No test measure found for {0}={1:0.00}, {2}=x={3:0.0} !!",
this.GetVarLetter(xVarIdx), x, this.GetVarLetter(sIdx), s));
continue;
}
//selects fitness for series
var fitness = this.GetFitnessValue(measures);
var fitnessErr = this.GetFitnessError(measures);
//adds fitness to data point
dataPoint[sIdx] = fitness;
dataPoint[sIdx + 1] = fitnessErr;
}
//adds data point to list
data.Add(dataPoint);
}
return(data);
}
public IMRLSimAnnOptimTest(
string id, IOptimizationTestFactory optimizationTestFactory, TestMeasureList testMeasures)
: base(id, optimizationTestFactory, testMeasures)
{
}
