population.h

- XCS for Dynamic Environments + Continuous versions of XCS + Test problem: real multiplexer +

/*	XCSR_DE1.0
*	--------------------------------------------------------
*	Learning classifier system based on accuracy in dynamic environments
*
*	by  Huong Hai (Helen) Dam
*	[e-mail]
*	UNSW @ ADFA, Canberra Australia
*	Artificial Life and Adaptive Robotics Laboratory
*	http://www.itee.adfa.edu.au/~alar
*
*	Last modified: 24-11-2005
*
*/
#ifndef POPULATION_H
#define POPULATION_H

#include <math.h>
#include <iostream.h>
#include <fstream.h>
#include <vector>
#include "classifier.h"
#include "random.h"

class Population
{
	
public:
	Population(int seed);
	~Population();

	int getPopSize();
	int getNumMacro(){return c_classifiers.size();};
	void addClassifier(Classifier * c);
	Classifier* getClassifierC(int i);
	int getClassifierP(Classifier *c);
	void deleteClassifier(int i);
	void deleteFromPopulation();
	void deletePartialPopulation(double);
	double deleteVote(Classifier *cl, double avgFitInPop);
	void emptyPopulation();
	void reinitParam();
	void statistic(ofstream &filename);
	void snapshotReport(ofstream &filename);
	int* getNumMacroInRegion();
	int* getMPRules();
	int getNumNewRules();
	int getNumDeleteRules();
	int** getBBData();
	
#ifdef MP
	//schema 0:00***0 
	//schema 1:00***1
	//schema 2:01**0*
	//schema 3:01**1*
	//schema 4:10*0**
	//schema 5:10*1**
	//schema 6:110***
	//schema 7:111***
	double* getNumSchemas(double, int);
	double* getNumClassifiersInSchema(double, int);
#endif

private:
	std::vector<Classifier*> c_classifiers;	
	Random *random;
	int num_new_rules;
	int num_delete_rules;
};
#endif