cleaning

tests/g-01.cpp

@@ -1,71 +0,0 @@
-#include "../src/Genetics/Genetics.h"
-
-#include <iostream>
-class S: public Shin::Genetics::Individual
-{
-	public:
-		S(const double &a, const double &b) :Sa(a),Q(b)
-		{
-		};
-		void mutate()
-		{
-			if(rand()%2==1)
-			{
-				Sa=(Sa*(double)(80.0+(double)(rand()%61)))/100.0+(40-rand()%80);
-			}
-			if(rand()%2==1)
-			{
-				Sa=-Sa;
-			}
-			if(rand()%2==1)
-			{
-				Q=(Q*(double)(60.0+(double)(rand()%81)))/100.0+(40-rand()%80);
-			}
-			if(rand()%2==1)
-			{
-				Q=-Q;
-			}
-		};
-		S combine(S &s)
-		{
-			double a;
-			double b;
-			if( rand()%2)
-				a=s.Sa;
-			else
-				a=Sa;
-			if( rand()%2)
-				b=s.Q;
-			else
-				b=Q;
-			return S(a,b);
-		}
-
-		double getFitness()
-		{
-//			return fit;
-			return abs(Sa-98545)+abs(Q+85);
-			return (double)1.0/(double)(Sa);
-			//return Sa*100-Q*5;
-			//return 985258-s;
-			//return s < 0?0:s;
-		}
-		double Sa;
-		double Q;
-		void dump()
-		{
-			std::cout<< " Sa: " << Sa <<" Q: " << Q << " fitness: " <<getFitness() << "\n";
-		}
-		
-};
-
-int main()
-{
-	Shin::Genetics::Genetics<S> g;
-	g.getCreator().setMaxGenerationSize(30);
-	g.addIndividual(S(1,0));
-	g.addIndividual(S(1,50));
-	g.addIndividual(S(50,50));
-	S &s=g.getSolution(10000,99999999);
-	s.dump();
-}

tests/g-02.cpp

@@ -1,118 +0,0 @@
-#include "../src/Genetics/Genetics.h"
-
-#include "../src/NeuronNetwork/Network"
-
-#include <iostream>
-
-class X: public Shin::NeuronNetwork::Problem
-{
-	public:
-		X(bool a,bool b):a(a),b(b)
-	{
-	}
-	protected:
-		std::vector<bool> representation() const
-		{
-			return std::vector<bool>({a,b});
-		}
-		bool a,b;
-};
-
-class S: public Shin::Genetics::Individual
-{
-	public:
-		S():n({2,4,1})
-		{
-		}
-		void mutate()
-		{
-			for(unsigned int i=0;i<n.size();i++)
-			{
-				for (int j=0;j<n[i]->size();j++)
-				{
-					if(rand()%20==1)
-					{
-						if(rand()%2==1)
-							n[i]->operator[](j)->setPotential(n[i]->operator[](j)->getPotential()-0.5);
-						else
-							n[i]->operator[](j)->setPotential(n[i]->operator[](j)->getPotential()+0.5);
-					}
-					int k;
-					if(i==0)
-						continue;
-					else if(i==1)
-						k=1;
-					else
-						k=3;
-					for(;k>=0;--k)
-					{
-						std::cerr << "i: "<<i <<" " <<  k << std::endl;
-						if(rand()%20==0)
-						{
-							if(rand()%2)
-								n[i]->operator[](j)->setWeight(k,n[i]->operator[](j)->getWeight(k)-1);
-							else
-								n[i]->operator[](j)->setWeight(k,n[i]->operator[](j)->getWeight(k)+1);
-						}
-					}
-				}
-			}
-		}
-		S combine(S &s)
-		{
-			S a;
-			for(int i=0;i<3;i++)
-			{
-				for (int j=0;j<s.n[i]->size();j++)
-				{
-					Shin::NeuronNetwork::Neuron *q;
-					if(rand()%2==1)
-					{
-						q=n[i]->operator[](j);
-					}else
-					{
-						q=s.n[i]->operator[](j);
-					}
-					a.n[i]->operator[](j)->setPotential(q->getPotential());
-					
-					int k;
-					if(i==0)
-						k=0;
-					else if(i==1)
-						k=2;
-					else
-						k=3;
-					for(;k>=0;--k)
-						a.n[i]->operator[](j)->setWeight(k,q->getWeight(k));
-				}
-			}
-			return a;
-		}
-
-		Shin::NeuronNetwork::FeedForwardNetwork n;
-		double getFitness()
-		{
-			int a=0;
-			if(n.solve(X(1,1))[0]==0)
-				a++;
-			if(n.solve(X(1,0))[0]==1)
-				a++;
-			if(n.solve(X(0,1))[0]==1)
-				a++;
-			if(n.solve(X(0,0))[0]==0)
-				a++;
-			return a;
-		}
-		void dump()
-		{
-		}
-		
-};
-
-int main()
-{
-	Shin::Genetics::Genetics<S> g;
-	g.addIndividual(S());
-	S &s=g.getSolution(99999,999999);
-	s.dump();
-}

tests/nn-01.cpp

@@ -13,6 +13,7 @@ class X: public Shin::Problem
 		X(const std::vector<bool> &a):Problem() { for (bool s:a) data.push_back((float)s);}
 	protected:
 };
+
 int main(int argc,char**)
 {
 	srand(time(NULL));