public override FuzzySystem.SingletoneApproximate.SAFuzzySystem TuneUpFuzzySystem(FuzzySystem.SingletoneApproximate.SAFuzzySystem Approximate, ILearnAlgorithmConf conf)
{
result = Approximate;
Init(conf);
Ocean = new SingletonHybride(new SAFuzzySystem(result));
List <Task> AlgTasks = new List <Task>();
Parallel.For(0, Configs.Count, magic =>
{
Task CurrentTask = new Task(() => { Algorithms[magic].TuneUpFuzzySystem(Ocean, new SAFuzzySystem(result), Configs[magic]); });
AlgTasks.Add(CurrentTask);
AlgTasks[magic].Start();
}
);
Task.WaitAll(AlgTasks.ToArray());
List <KnowlegeBaseSARules> ListSystems = Ocean.Get(1, FuzzySystem.FuzzyAbstract.Hybride.FuzzyHybrideBase.goodness.best, FuzzySystem.FuzzyAbstract.Hybride.FuzzyHybrideBase.islandStrategy.All);
ListSystems.Add(result.RulesDatabaseSet[0]);
result.RulesDatabaseSet[0] = ListSystems.SelectBest(result, 1)[0];
result.RulesDatabaseSet[0].TermsSet.Trim();
return(result);
}
public SAFuzzySystem TuneUpFuzzySystem(SingletonHybride Ocean, SAFuzzySystem Approximate, ILearnAlgorithmConf conf)
{
HybrideOcean = Ocean;
base.TuneUpFuzzySystem(Approximate, conf);
Ocean.Store(chooseDiscovers(1), this.ToString());
return(result);
}
public SAFuzzySystem TuneUpFuzzySystem(SingletonHybride Ocean, SAFuzzySystem Approximate, ILearnAlgorithmConf conf)
{
HybrideOcean = Ocean;
base.TuneUpFuzzySystem(Approximate, conf);
Ocean.Store(chooseDiscovers(1), this.ToString());
theFuzzySystem.RulesDatabaseSet[0].TermsSet.Trim();
return(theFuzzySystem);
}
public SAFuzzySystem TuneUpFuzzySystem(SingletonHybride Ocean, SAFuzzySystem Approximate, ILearnAlgorithmConf conf)
{
SAFuzzySystem result = Approximate;
BeeParamsConf Config = conf as BeeParamsConf;
Init(Config);
theFuzzySystem = result;
if (result.RulesDatabaseSet.Count < 1)
{
throw (new Exception("Что то не так с базой правил"));
}
theHive = new HiveParams(this, result.RulesDatabaseSet[0]);
// HiveParams theHive = new ParallelHiveParams(this, result.RulesDatabaseSet[0]);
// HiveParams theHive = new HiveParallelParams2(this, result.RulesDatabaseSet[0]);
theBest = new BeeParams(result.RulesDatabaseSet[0], this);
double temperature = initTemp;
for (int r = 0; r < iterration; r++)
{
temperature = oneIterate(temperature);
int CountSend = theHive.HostArchive.Count / 2;
List <KnowlegeBaseSARules> toStore = new List <KnowlegeBaseSARules>();
for (int i = 0; i < CountSend; i++)
{
toStore.Add(theHive.HostArchive[i].PositionOfBee);
}
Ocean.Store(toStore, this.ToString());
int toGet = theHive.HostArchive.Count - CountSend;
List <KnowlegeBaseSARules> Getted = Ocean.Get(toGet, FuzzyAbstract.Hybride.FuzzyHybrideBase.goodness.best, FuzzyAbstract.Hybride.FuzzyHybrideBase.islandStrategy.All);
toGet = Getted.Count < toGet ? Getted.Count : toGet;
for (int i = 0; i < toGet; i++)
{
theHive.HostArchive[i + CountSend].PositionOfBee = Getted[i];
}
GC.Collect();
}
theBest = lastStep(theBest);
Approximate.RulesDatabaseSet[0] = theBest.PositionOfBee;
return(result);
}