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MyProblem.java
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MyProblem.java
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import java.io.FileNotFoundException;
import java.io.FileReader;
import java.io.FileWriter;
import java.io.IOException;
import java.io.LineNumberReader;
import java.io.PrintWriter;
import java.util.ArrayList;
import ec.util.*;
import ec.*;
import ec.gp.*;
import ec.gp.koza.*;
import ec.simple.*;
import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
public class MyProblem extends GPProblem implements SimpleProblemForm
{
/**
*
*/
private static final long serialVersionUID = -2446963225855949037L;
private static Logger logNormal = LogManager.getLogger("logNormal");
private static Logger logResumido = LogManager.getLogger("logResumido");
private static Logger logEstadistica = LogManager.getLogger("logEstadistica");
public Instancia instancia;
public Singleton sin = Singleton.getInstance();
public Contenedor contenedor;
public static final String P_DATA = "data";
public void setup(final EvolutionState state, final Parameter base)
{
logNormal.info("setup problem!");
logResumido.info("setup problem!");
logEstadistica.info("setup problem!");
// very important, remember this
super.setup(state,base);
// verify our input is the right class (or subclasses from it)
if (!(input instanceof MyGPData)) state.output.fatal("GPData class must subclass from " + MyGPData.class, base.push(P_DATA), null);
sin.load(Contenedor.INSTANCIAS_PATH, Contenedor.instancias_file, Contenedor.alfa, Contenedor.beta, Contenedor.gama);
}
public void evaluate(final EvolutionState state,final Individual ind,final int subpopulation,final int threadnum)
{
if (!ind.evaluated)
{
if(sin.selogea){
logNormal.debug("evaluando****** \n");
// logResumido.debug("evaluando****** \n");
}
MyGPData input = (MyGPData)(this.input);
int hits = 0;
double sum = 0.0;
double result;
ArrayList<SuperConjunto> LCP_ = new ArrayList<SuperConjunto>();
ArrayList<Conjunto> LSP_ = new ArrayList<Conjunto>();
ArrayList<Double> error = new ArrayList<Double>();
ArrayList<Double> no_agrupados = new ArrayList<Double>();
for(Instancia i : contenedor.instancias){
if(sin.selogea){
logNormal.debug(i.toString());
System.out.println("\n" + i.toString());
}
instancia = i;
instancia.recargar();
long startTime = System.currentTimeMillis();
((GPIndividual)ind).trees[0].child.eval(state,threadnum,input,stack,((GPIndividual)ind),this);
int totaltime = (int) (System.currentTimeMillis() - startTime);
result = instancia.fitness(((GPIndividual)ind).size(), totaltime);
//GUARDAMOS COMO QUEDO, POR SI ES EL MEJOR
LCP_.add(new SuperConjunto(instancia.getLCP()));
LSP_.add(new Conjunto(instancia.getLSP()));
error.add(instancia.error());
no_agrupados.add(instancia.noAgrupados());
//HIT
if (result <= 0.01) hits++;
sum += result;
}
sum = sum/contenedor.instancias.size();
if(sin.fitness > sum){
sin.fitness = sum;
sin.mejoresLCP = new ArrayList<SuperConjunto>(LCP_);
sin.quedaLSP = new ArrayList<Conjunto>(LSP_);
sin.error = new ArrayList<Double>(error);
sin.no_agrupados = new ArrayList<Double>(no_agrupados);
}
// the fitness better be KozaFitness!
KozaFitness f = ((KozaFitness)ind.fitness);
f.setStandardizedFitness(state,(float)sum);
f.hits = hits;
ind.evaluated = true;
if(sin.selogea){
logNormal.debug("fin evaluación *****, fitness {}\n\n", sum);
// logResumido.debug("fin evaluación *****, fitness {}\n\n", sum);
}
}
}
public void describe(EvolutionState state, Individual ind, int subpopulation,int threadnum, int log){
//GUARDO EL MEJOR IND
state.output.println("SAVE BEST",0);
PrintWriter printWriter = null;
try {
printWriter = new PrintWriter(new FileWriter("bestInd.txt", true));
((GPIndividual)ind).printIndividual(state, printWriter);
} catch (FileNotFoundException e) {
e.printStackTrace();
} catch (IOException e) {
e.printStackTrace();
}
printWriter.close();
//SE EVALUA Y LOGEA LA INFO DEL MEJOR INDIVIDUO
ind.evaluated = false;
sin.selogea = true;
String tamNodo = "Tamaño del nodo: " + ((GPIndividual)ind).size();
if(sin.selogea){
String treelatex = ((GPIndividual)ind).trees[0].child.makeLatexTree();
String treegraphviz = ((GPIndividual)ind).trees[0].child.makeGraphvizTree();
String fitness = ((GPIndividual)ind).fitness.fitnessToStringForHumans();
logNormal.debug("\n" + fitness + "\n" + treelatex + "\n" + tamNodo + "\n" + treegraphviz + "\n");
logResumido.debug("\n" + fitness + "\n" + treelatex + "\n" + tamNodo + "\n" + treegraphviz + "\n");
}
state.output.println(tamNodo, 0);
for(int i = 0; i < sin.mejoresLCP.size(); i++){
state.output.println(contenedor.instancias.get(i).toString(), 0);
state.output.println("Error " + sin.error.get(i) + " ,ajustado " + sin.error.get(i)*Contenedor.alfa, 0);
state.output.println("No agrupados " + sin.no_agrupados.get(i) + " ,ajustado " + sin.no_agrupados.get(i)*Contenedor.beta, 0);
state.output.println("LCP\n" + sin.mejoresLCP.get(i).toString(), 0);
state.output.println("LSP\n" + sin.quedaLSP.get(i).toString(), 0);
if(sin.selogea){
logResumido.debug(contenedor.instancias.get(i).toString());
logResumido.debug("Error " + sin.error.get(i) + " ,ajustado " + sin.error.get(i)*Contenedor.alfa);
logResumido.debug("No agrupados " + sin.no_agrupados.get(i) + " ,ajustado " + sin.no_agrupados.get(i)*Contenedor.beta);
logResumido.debug("LCP\n" + sin.mejoresLCP.get(i).toString());
logResumido.debug("LSP\n" + sin.quedaLSP.get(i).toString());
}
}
long totalElapsed = sin.Add_MindotElapsedTime+sin.Create_CpElapsedTime+sin.Join_CpElapsedTime+sin.Move_MinElapsedTime;
state.output.println("Add_Min " + (double)sin.Add_MindotElapsedTime/sin.Add_MindotCounter + " (" + sin.Add_MindotElapsedTime +"|"+ (double)sin.Add_MindotElapsedTime/totalElapsed +"|"+ sin.Add_MindotCounter + ")", 0);
state.output.println("Create_Cp " + (double)sin.Create_CpElapsedTime/sin.Create_CpCounter + " (" + sin.Create_CpElapsedTime +"|"+ (double)sin.Create_CpElapsedTime/totalElapsed +"|"+sin.Create_CpCounter + ")", 0);
state.output.println("Join_Cp " + (double)sin.Join_CpElapsedTime/sin.Join_CpCounter + " (" + sin.Join_CpElapsedTime +"|"+ (double)sin.Join_CpElapsedTime/totalElapsed +"|"+sin.Join_CpCounter + ")", 0);
state.output.println("Move_Min " + (double)sin.Move_MinElapsedTime/sin.Move_MinCounter + " (" + sin.Move_MinElapsedTime +"|"+ (double)sin.Move_MinElapsedTime/totalElapsed +"|"+sin.Move_MinCounter + ")", 0);
// this.evaluate(state, ind, subpopulation, threadnum);
if(sin.selogea) logResumido.debug("Termino");
//SI EL FITNEES ES MEJOR QUE 0.5 SE USA INSTANCIA DE VALIDACION
KozaFitness f = ((KozaFitness)((GPIndividual)ind).fitness);
if(f.standardizedFitness() <= 0.5){
state.output.println("\nUSANDO INSTANCIAS DE VALIDACION************\n",0);
logResumido.debug("\nUSANDO INSTANCIAS DE VALIDACION***************\n");
contenedor.loadvalidacion();
ind.evaluated = false;
sin.reset();
this.evaluate(state, ind, subpopulation, threadnum);
String fitness = ((GPIndividual)ind).fitness.fitnessToStringForHumans();
state.output.println("\n" + fitness + "\n" + tamNodo + "\n",0);
logResumido.debug("\n" + fitness + "\n" + tamNodo + "\n");
for(int i = 0; i < sin.mejoresLCP.size(); i++){
state.output.println(contenedor.instancias.get(i).toString(), 0);
state.output.println("Error " + sin.error.get(i) + " ,ajustado " + sin.error.get(i)*Contenedor.alfa, 0);
state.output.println("No agrupados " + sin.no_agrupados.get(i) + " ,ajustado " + sin.no_agrupados.get(i)*Contenedor.beta, 0);
state.output.println("LCP\n" + sin.mejoresLCP.get(i).toString(), 0);
state.output.println("LSP\n" + sin.quedaLSP.get(i).toString(), 0);
if(sin.selogea){
logResumido.debug(contenedor.instancias.get(i).toString());
logResumido.debug("Error " + sin.error.get(i) + " ,ajustado " + sin.error.get(i)*Contenedor.alfa);
logResumido.debug("No agrupados " + sin.no_agrupados.get(i) + " ,ajustado " + sin.no_agrupados.get(i)*Contenedor.beta);
logResumido.debug("LCP\n" + sin.mejoresLCP.get(i).toString());
logResumido.debug("LSP\n" + sin.quedaLSP.get(i).toString());
}
}
}
}
/* (non-Javadoc)
* @see ec.gp.GPProblem#clone()
*/
@Override
public MyProblem clone() {
MyProblem p = (MyProblem)super.clone();
p.contenedor = new Contenedor(sin.instancias);
return p;
}
// public void prepareToEvaluate(final EvolutionState state, final int threadnum){
// if(state.generation == 0){
// GPIndividual ind = (GPIndividual) state.population.subpops[0].individuals[0];
// LineNumberReader reader = null;
// try {
// reader = new LineNumberReader(new FileReader("bestIndofAll.txt"));
// ind.readIndividual(state, reader);
// ind.evaluated = false;
// } catch (FileNotFoundException e) {
// e.printStackTrace();
// } catch (IOException e) {
// e.printStackTrace();
// }
// }
// }
public void finishEvaluating(EvolutionState state, int thread){
if(thread == 0){
//LOG ESTADISTICA
MySimpleStatistics s = (MySimpleStatistics) state.statistics;
GPIndividual indbest = (GPIndividual) s.best_of_run[0];
GPIndividual indworst = (GPIndividual) s.worst_of_run[0];
float avg_f = s.avg_of_run[0];
String log = "";
if(indbest != null){
KozaFitness f = ((KozaFitness)indbest.fitness);
log += f.standardizedFitness();
}
if(indworst != null){
KozaFitness f = ((KozaFitness)indworst.fitness);
log += " " + f.standardizedFitness();
}
if(state.generation != 0) log += " " + avg_f;
if(state.generation != 0) logEstadistica.info(log);
}
}
}