public static List <KnowlegeBaseSARules> SelectBest(this List <KnowlegeBaseSARules> Source, SAFuzzySystem Approx, int CountBest)
{
KnowlegeBaseSARules[] result = new KnowlegeBaseSARules[CountBest];
Source.ToArray().SortRules(Approx).ToList().CopyTo(0, result, 0, CountBest);
return(result.ToList());
}
public override SAFuzzySystem TuneUpFuzzySystem(SAFuzzySystem Approximate, ILearnAlgorithmConf conf)
{
PSOBacterySearchConf CurrentConf = conf as PSOBacterySearchConf;
count_iteration = CurrentConf.PSOSCCountIteration;
c1 = CurrentConf.PSOSCC1;
c2 = CurrentConf.PSOSCC2;
w = 1;
count_particle = CurrentConf.PSOSCPopulationSize;
sendBactery = CurrentConf.PSOBacteryHOCountGet;
sendPSO = CurrentConf.PSOBacteryHOCountSend;
interPSOtoSend = CurrentConf.PSOBacteryHOCountChange;
result = Approximate;
X = new KnowlegeBaseSARules[count_particle];
V = new KnowlegeBaseSARules[count_particle];
Pi = new KnowlegeBaseSARules[count_particle];
Pg = new KnowlegeBaseSARules();
Errors = new double[count_particle];
OldErrors = new double[count_particle];
rnd = new Random();
preIterate(result);
int trySend = 0;
int counterIter = 0;
for (int i = 0; i < count_iteration; i++)
{
oneIterate(result);
counterIter++;
if (counterIter == interPSOtoSend)
{
Pi = sortSolution(Pi);
savetoUFS(Pi.ToList(), 0, sendPSO, trySend);
BacteryRunner();
trySend++;
List <KnowlegeBaseSARules> tempRes = loadDatabase().ToList();
int size = tempRes.Count;
for (int p = tempRes.Count - 1; p >= 0; p--)
{
X[p] = tempRes[0];
double newError = Approximate.approxLearnSamples(X[p]);
if (newError < Errors[p])
{
Pi[p] = new KnowlegeBaseSARules(X[p]);
OldErrors[p] = Errors[p];
Errors[p] = newError;
if (minError > newError)
{
minError = newError;
Pg = new KnowlegeBaseSARules(X[p]);
}
}
tempRes.RemoveAt(0);
}
counterIter = 0;
}
}
result.RulesDatabaseSet[0].TermsSet.Trim();
return(result);
}
