// Constructor for manual calculation of WCET.
EvolutionAlgo(Parameter param, finishedManual_delegate finishedManual, calculateFitness_delegate calculateFitness)
: this()
{
this._param = param;
this._finishedManual = finishedManual;
this._calculateFitness = calculateFitness;
this._automatic = false;
_startSize = _aSettings.populationSize;
}
public Generation(uint size, Parameter param, double mutateRate, uint maxCrossover, EvolutionAlgo ea)
{
this._blaram = param;
this._size = size;
this.mutateRate = mutateRate;
this.maxCrossover = maxCrossover;
this.createGenes(0);
this._ea = ea;
}
//Create Genom and Calucalte Fitness.
public Genom(Parameter param, EvolutionAlgo ea)
{
this._param = param;
this._ea = ea;
if ((_param != null) && (ea != null))
{
calculateFitness();
}
}
// Constructor for automatic calculation of WCET.
EvolutionAlgo(Parameter param, AlgoSettings aSettings, printResult_delegate printResult, finishedWCET_delegate finishedWCET,
calculateFitness_delegate calculateFitness)
: this()
{
this._param = param;
this._aSettings = aSettings;
this._printResult = printResult;
this._finishedWCET = finishedWCET;
this._calculateFitness = calculateFitness;
this._automatic = true;
_startSize = _aSettings.populationSize;
}
private void createGenes(uint givenGenes)
{
Parameter genomParameter;
Random ran;
int countAnalog = _blaram.analog.Length;
int countDigital = _blaram.digital.Length;
int countEnums = _blaram.enums.Length;
float[] analogVal = new float[countAnalog];
bool[] digitalVal = new bool[countDigital];
int[] enumVal = new int[countEnums];
for (uint k = givenGenes; k < this._size; k++)
{
ran = new Random();
for (int i = 0; i < countAnalog; i++) // Erzeugung Random Analogwerte
{
analogVal[i] = (float)ran.NextDouble();
}
for (int i = 0; i < countDigital; i++) // Erzeugung Random Digitalwerte
{
digitalVal[i] = rndBoolean();
}
for (int i = 0; i < countEnums; i++) // Erzeugung Random Enum werte
{
enumVal[i] = ran.Next(10);
}
genomParameter = new Parameter(analogVal, digitalVal, enumVal); //Parameter und Genomerzeugung
_genomArray[k] = new Genom(genomParameter,_ea);
//Calculate Fittness.
}
}
public Genom(Parameter param)
{
this._param = param;
}
