public HiveParams(BeeParamsAlgorithm Parrent, KnowlegeBaseTSARules Best)
{
theParrent = Parrent;
hostArchive = new List <BeeParams>();
hostArchive.Add(new BeeParams(Best, Parrent));
hostArchive[0].getGoodsImproove();
}
public ScoutParams(KnowlegeBaseTSARules theSource, BeeParamsAlgorithm parrent, Random rand)
: base(theSource, parrent)
{
for (int i = 0; i < PositionOfBee.TermsSet.Count; i++)
{
int Varrible = PositionOfBee.TermsSet[i].NumVar;
double Scatter = Parrent.getCurrentNs().LearnSamplesSet.InputAttributes[Varrible].Scatter;
switch (PositionOfBee.TermsSet[i].TermFuncType)
{
case TypeTermFuncEnum.Гауссоида: { PositionOfBee.TermsSet[i].Parametrs = optimizeGauss(Scatter, PositionOfBee.TermsSet[i].Parametrs, rand); } break;
case TypeTermFuncEnum.Парабола: { PositionOfBee.TermsSet[i].Parametrs = optimizeParabolic(Scatter, PositionOfBee.TermsSet[i].Parametrs, rand); } break;
case TypeTermFuncEnum.Трапеция: { PositionOfBee.TermsSet[i].Parametrs = optimizeTrapec(Scatter, PositionOfBee.TermsSet[i].Parametrs, rand); } break;
case TypeTermFuncEnum.Треугольник: { PositionOfBee.TermsSet[i].Parametrs = optimizeTrianlge(Scatter, PositionOfBee.TermsSet[i].Parametrs, rand); } break;
}
}
getGoodsImproove();
// SAFuzzySystem ToOpintNS = Parrent.getCurrentNs();
/* lock (ToOpintNS)
* {
* Adaptive_LSM tryOpt = new Adaptive_LSM();
*
*
*
*
* double tempgood = getGoodsImproove();
* KnowlegeBaseSARules tempPositionofBee = PositionOfBee;
* KnowlegeBaseSARules zeroSolution = ToOpintNS.RulesDatabaseSet[0];
* ToOpintNS.RulesDatabaseSet[0] = PositionOfBee;
*
* tryOpt.TuneUpFuzzySystem(ToOpintNS, new NullConfForAll());
* PositionOfBee = ToOpintNS.RulesDatabaseSet[0];
* double newgood = getGoodsImproove();
*
* if (newgood > tempgood)
* {
* PositionOfBee = tempPositionofBee;
* getGoodsImproove();
* }
* } */
}
public static List <BeeParams> FlyScout(int countofBee, Random rand, KnowlegeBaseTSARules Source, BeeParamsAlgorithm parrent)
{
List <BeeParams> result = new List <BeeParams>();
for (int i = 0; i < countofBee; i++)
{
result.Add(new ScoutParams(Source, parrent, rand));
}
return(result);
}
public OutLookersBeeParams(KnowlegeBaseTSARules theSource, KnowlegeBaseTSARules Best, BeeParamsAlgorithm parrent, Random rand)
: base(theSource, parrent)
{
for (int i = 0; i < PositionOfBee.TermsSet.Count; i++)
{
double [] Params = PositionOfBee.TermsSet[i].Parametrs;
for (int j = 0; j < Params.Count(); j++)
{
int Choose = rand.Next(2);
switch (Choose)
{
case 0: { Params[j] = Best.TermsSet[i].Parametrs[j] + Math.Abs(Best.TermsSet[i].Parametrs[j] - Params[j]) * rand.NextDouble(); } break;
case 1: { Params[j] = Best.TermsSet[i].Parametrs[j] - Math.Abs(Best.TermsSet[i].Parametrs[j] - Params[j]) * rand.NextDouble(); } break;
}
}
PositionOfBee.TermsSet[i].Parametrs = Params;
}
double[] consq = PositionOfBee.all_conq_of_rules;
for (int i = 0; i < consq[i]; i++)
{
int choose = rand.Next(2);
switch (choose)
{
case 0: { consq[i] = Best.all_conq_of_rules[i] + Math.Abs(Best.all_conq_of_rules[i] - consq[i]) * rand.NextDouble(); } break;
case 1: { consq[i] = Best.all_conq_of_rules[i] - Math.Abs(Best.all_conq_of_rules[i] - consq[i]) * rand.NextDouble(); } break;
}
}
PositionOfBee.all_conq_of_rules = consq;
getGoodsImproove();
}
public static List <BeeParams> OutLookerFly(BeeParams Best, List <BeeParams> Source, Random rand, BeeParamsAlgorithm parrent)
{
List <BeeParams> Result = new List <BeeParams>();
for (int i = 0; i < Source.Count(); i++)
{
Result.Add(new OutLookersBeeParams(Source[i].PositionOfBee, Best.PositionOfBee, parrent, rand));
}
return(Result);
}
public BeeParams(KnowlegeBaseTSARules theSource, BeeParamsAlgorithm parrent)
{
thePositionOfBee = new KnowlegeBaseTSARules(theSource);
Parrent = parrent;
}
