[galib] problem with genome

[TECPRO@terra.es]

Hello,

 

I am new to gelib and when trying to define a genome I get the following error:

 



ex1.c: In function ‘int altermain(task_info)’:

ex1.c:49: error: missing template arguments before ‘genome’

ex1.c:49: error: expected ‘;’ before ‘genome’

ex1.c:57: error: ‘genome’ was not declared in this scope


 

I am modifying the ex1.c example changing the GA2Dbinary to a GA1DArrayGenome and I have defined a new objetive function.

Thanks in advance.

 



 

#include <ga/GASimpleGA.h> // we're going to use the simple GA

#include <ga/GA2DBinStrGenome.h> // and the 2D binary string genome

#include <ga/std_stream.h>

#include <ga/GA1DArrayGenome.h>

#define cout STD_COUT

#include "header.h"

 

#include <ga/GAArray.h>

#include <ga/GAGenome.h>

#include <ga/GAAllele.h>

 

 

  int NUM_TAR = 29;

  int MAX_NUM = 15;

 

int altermain(task_info tasklist)

{

  cout << "Example 1\n\n";

  cout << "This program tries to fill a 2DBinaryStringGenome with\n";

  cout << "alternating 1s and 0s using a SimpleGA\n\n"; cout.flush();

 

// See if we've been given a seed to use (for testing purposes).  When you

// specify a random seed, the evolution will be exactly the same each time

// you use that seed number.

 

 

int argc = 0;

char **argv = NULL;

  for(int ii=1; ii<argc; ii++) {

    if(strcmp(argv[ii++],"seed") == 0) {

      GARandomSeed((unsigned int)atoi(argv[ii]));

    }

  }

 

// Declare variables for the GA parameters and set them to some default values.

 

  int width    = 10;

  int height   = 5;

  int popsize  = 30;

  int ngen     = 400;

  float pmut   = 0.001;

  float pcross = 0.9;

 

 

// Now create the GA and run it.  First we create a genome of the type that

// we want to use in the GA.  The ga doesn't operate on this genome in the

// optimization - it just uses it to clone a population of genomes.

  GA1DArrayGenome genome(NUM_TAR, Objective); 

 

  //GA2DBinaryStringGenome genome(width, height, Objective);

 

// Now that we have the genome, we create the genetic algorithm and set

// its parameters - number of generations, mutation probability, and crossover

// probability.  And finally we tell it to evolve itself.

 

  GASimpleGA ga(genome);

  ga.populationSize(popsize);

  ga.nGenerations(ngen);

  ga.pMutation(pmut);

  ga.pCrossover(pcross);

  ga.evolve();

 

// Now we print out the best genome that the GA found.

 

  cout << "The GA found:\n" << ga.statistics().bestIndividual() << "\n";

 

// That's it!

 

 

  return 0;

}

 

 

 

 

// This is the objective function.  All it does is check for alternating 0s and

// 1s.  If the gene is odd and contains a 1, the fitness is incremented by 1.

// If the gene is even and contains a 0, the fitness is incremented by 1.  No

// penalties are assigned. 

//   We have to do the cast because a plain, generic GAGenome doesn't have 

// the members that a GA2DBinaryStringGenome has.  And it's ok to cast it

// because we know that we will only get GA2DBinaryStringGenomes and

// nothing else.

 

/*

float

Objective(GAGenome&amp; g) {

  GA2DBinaryStringGenome &amp; genome = (GA2DBinaryStringGenome &amp;)g;

  float score=0.0;

  int count=0;

  for(int i=0; i<genome.width(); i++){

    for(int j=0; j<genome.height(); j++){

      if(genome.gene(i,j) == 0 &amp;&amp; count%2 == 0)

 score += 1.0;

      if(genome.gene(i,j) == 1 &amp;&amp; count%2 != 0)

 score += 1.0;

      count++;

    }

  }

  return score;

}

*/

 

float Objective(GAGenome&amp; g) 

{

 

GA1DArrayGenome &amp; genome = (GA1DArrayGenome &amp;)g;

 

float score=0;

int i,j;

 

int tiempo_contador[1000]; for (j=1; j<= MAX_NUM; j++){tiempo_contador[j]=0;}

 //printf(" (%d)evaluacion %d ",es_inicial,contador);

 //fflush(stdout);

 for(i=0;i<genome.length();i++)

 {

   tiempo_contador[ genome.gene(i) ]=tiempo_contador[ genome.gene(i) ]+ structarray[i].value;

 }

 

 for(j=1;j<=MAX_NUM;j++){

   if(tiempo_contador[j]>score) score=tiempo_contador[j];

 }

 

 return(score); 

}
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