public DNA <float> Start(float currentFluidLevel)
{
var scadaProxy = new SF.Common.Proxies.ScadaExportProxy(ConfigurationManager.AppSettings["Scada"]);
model = scadaProxy.GetData().GetAwaiter().GetResult();
if (currentFluidLevel == 0 || IsCurrentOptimal(currentFluidLevel))
{
var ret = new DNA <float>();
ret.Genes = new float[] { 0, 0, 0, 0, 0, 0, 0, 0, 0 };
return(ret);
}
foreach (var m in model)
{
if (m.Value.Mrid == "Flow_AM1")
{
pump1flow = m.Value as AnalogPoint;
}
else if (m.Value.Mrid == "Flow_AM2")
{
pump2flow = m.Value as AnalogPoint;
}
else if (m.Value.Mrid == "Flow_AM3")
{
pump3flow = m.Value as AnalogPoint;
}
else if (m.Value.Mrid == "Discrete_Tap1")
{
tapChanger1 = m.Value as AnalogPoint;
}
else if (m.Value.Mrid == "Discrete_Tap2")
{
tapChanger2 = m.Value as AnalogPoint;
}
else if (m.Value.Mrid == "Discrete_Tap3")
{
tapChanger3 = m.Value as AnalogPoint;
}
else if (m.Value.Mrid == "FluidLevel_Tank")
{
fluidLevel = m.Value as AnalogPoint;
}
}
if (pump1flow.Value > 0)
{
isWorking1 = 0;
}
else
{
isWorking1 = 1;
}
if (pump2flow.Value > 0)
{
isWorking2 = 0;
}
else
{
isWorking2 = 1;
}
if (pump3flow.Value > 0)
{
isWorking3 = 0;
}
else
{
isWorking3 = 1;
}
//PRVA GENERACIJA IMA JEDNU JEDINKU
firstGenes = new float[] { isWorking1, pump1flow.Value, 0.1f,
isWorking2, pump2flow.Value, 0.1f,
isWorking3, pump3flow.Value, 0.1f };
DNA <float> firstHromozome = new DNA <float>(9, random, GetRandomGene, FitnessFunction, false, true, GetGene);
hromozomes.Add(firstHromozome);
ga = new GeneticAlgorithm <float>(1, 9, random, GetRandomGene, FitnessFunction, elitism, mutationRate, hromozomes, GetGene);
population = ga.Population;
do
{
Update();
population = ga.Population;
results = new List <float>();
for (int i = 0; i < population.Count(); i++)
{
results.Add(currentFluidLevel - FitnessFunction(i));
}
List <Tuple <int, float> > potentialSolutions = utils.FindPotentialSolutions(results, workingTimes);
if (potentialSolutions.Count() > 0)
{
Tuple <int, float> bestSolution = utils.FindBestSolution(potentialSolutions);
if (bestSolution.Item2 < lastBestSolution)
{
lastBestSolution = bestSolution.Item2;
bestSolutionIndex = bestSolution.Item1;
bestIndividual = population[bestSolution.Item1];
}
}
countIteration++;
if (countIteration == iterations || utils.IsSolutionCorrect(lastBestSolution, workingTimes[bestSolutionIndex]))
{
break;
}
} while (true);
return(bestIndividual);
}
