public virtual void Final()
{
theFuzzySystem.RulesDatabaseSet[0] = Best;
baseLine = theFuzzySystem.ErrorLearnSamples(theFuzzySystem.RulesDatabaseSet[0]);
theScouts = null;
theWorkers = null;
theScout = null;
theWorker = null;
GC.Collect();
}
public virtual void oneIterate(FS result)
{
theScouts.Clear();
theWorkers.Clear();
baseLine = result.ErrorLearnSamples(result.RulesDatabaseSet[0]);
Best = result.RulesDatabaseSet[0];
theScout = null;
theWorker = null;
for (int s = 0; s < countScouts; s++)
{
double goodsLine = -1;
int ztryes = 0;
while ((goodsLine <= 0) && (ztryes < 100))
{
theScout = new Scout(Best, theFuzzySystem);
theScout.generateNewRule(typeTerm, rand);
goodsLine = theScout.getGoodsImproove(baseLine);
}
theScouts.Add(theScout);
}
BeeComparer toBeeSort = new BeeComparer();
theScouts.Sort(toBeeSort);
KnowlegeBaseRules ScoutBest = theScouts[theScouts.Count - 1].PositionOfBee;
int ScoutBestNumRule = theScouts[theScouts.Count - 1].NumOFRule;
for (int w = 0; w < countWorkers; w++)
{
theWorker = new Worker(ScoutBest, theFuzzySystem);
theWorkers.Add(theWorker);
theWorkers[theWorkers.Count - 1].WorkerFly(ScoutBestNumRule, rand);
theWorkers[theWorkers.Count - 1].getGoodsImproove(baseLine);
}
theWorkers.Sort(toBeeSort);
if (theScouts[theScouts.Count - 1].Goods > theWorkers[theWorkers.Count - 1].Goods)
{
Best = theScouts[theScouts.Count - 1].PositionOfBee;
}
else
{
Best = theWorkers[theWorkers.Count - 1].PositionOfBee;
}
theFuzzySystem.RulesDatabaseSet[0] = Best;
}
