public Dictionary <long, OptimisationModel> StartAlgorithm(int iterationsCount, int populationNumber, int elitisam, float mutationRat)
{
SetAlgorithmOptions(iterationsCount, populationNumber, elitisam, mutationRat);
random = new Random();
ga = new GeneticAlgorithm <Tuple <long, float> >(NUMBER_OF_POPULATION, optModelMap.Count, random, GetRandomGene,
FitnessFunction, MutateFunction, ELITIMS_PERCENTAGE, NecessaryEnergy,
ScaleDNA, mutationRate, false);
ga.Population = PopulateFirstPopulation();
Tuple <long, float>[] bestGenes = ga.StartAndReturnBest(NUMBER_OF_ITERATION);
foreach (var item in bestGenes)
{
optModelMap.FirstOrDefault(x => x.Key == item.Item1).Value.GenericOptimizedValue = item.Item2;
optModelMap.FirstOrDefault(x => x.Key == item.Item1).Value.MeasuredValue = item.Item2;
optModelMap.FirstOrDefault(x => x.Key == item.Item1).Value.measurementUnit.CurrentValue = item.Item2;
}
foreach (var item in commandedGeneratrs)
{
optModelMap.Add(item.Key, item.Value);
}
float emCO2 = CalculationEngine.CalculateCO2(optModelMap);
EmissionCO2 = emCO2;
TotalCost = CalculateCost();
Console.WriteLine("Necessery energy: " + NecessaryEnergy);
return(optModelMap);
}
