public int run(GeneticRunParameters parameters)
{
if (!(parameters is FuzzyGeneticsRunParameters))
throw new WrongParameterTypeException("Fuzzy Genetics only accepts Fuzzy Genetics Run Parameters");
FuzzyGeneticsRunParameters fgParameters = (FuzzyGeneticsRunParameters)parameters;
subGenetics = fgParameters.algorithm.newInstance(initial, fgParameters.algorithmInstanceParameters);
int bestFitness = 0;
int periodSinceLastImprovement = 0;
LinkedList<int> lastFitnesses = new LinkedList<int>();
for (int n = 0; n < fgParameters.numberToAverageScoreOver; n++) { lastFitnesses.AddFirst(0); }
while (periodSinceLastImprovement < fgParameters.waitSinceLastImprovement)
{
int fitness = subGenetics.run(fgParameters.algorithmRunParameters);
lastFitnesses.RemoveFirst();
lastFitnesses.AddLast(fitness);
int summedFitness = lastFitnesses.Sum();
periodSinceLastImprovement++;
if (bestFitness < summedFitness)
{
bestFitness = summedFitness;
periodSinceLastImprovement = 0;
result = subGenetics.getAll();
resultPairs = subGenetics.getAllPairs();
}
if (fgParameters.verbose) Console.WriteLine("best of round: " + fitness + ". average = " + summedFitness / fgParameters.numberToAverageScoreOver +
" (" + periodSinceLastImprovement + ")");
}
return lastFitnesses.Last.Value;
}