sim.c

GENETIC ALGORITHM FOR NEURAL NETWORKS ON TRANSPUTERS (Source code and Reference)

/* Declarations of simulation features (backpropagation) */

#include "defs.h"
#include "sim.h"

/* Parameter Handling */

#define DEFMAXITER	100000
#define DEFMAXERR	0.01
#define DEFSEED		AUTO

char *SimOptStr() {return "g:e:s:\0";}

char *SimUsage() {return 	
  "Simulation Parameters:\n"
  "-g <max. no. of iterations:>:     10000\n"
  "-e <max. error for succes>:       0.01\n"
  "-s <random seed value>:           time\n\0";
}

/* set default values */

int MaxIter	=DEFMAXITER;	/* Maximum no. of generations */
float MaxErr	=DEFMAXERR;	/* Maximum error for succes */
int SeedRand	=DEFSEED;	/* random seed */

int handleSimOpt(char opt,char* arg)
{
  switch(opt)
  {
    case 'g': return (MaxIter 	=getint(arg,1,1000000000))<0;
    case 'e': return getfloat(&MaxErr,arg,0,1000000);
    case 's': return (SeedRand	=getint(arg,0,MAXRANDOM))<0;
    default: return 1;
  };
}

int initSim()
{
  if(SeedRand==AUTO) SeedRand=gettime();
  seedrand(SeedRand);

  sprintf(SimParamStr,
    "Simulation: MaxIter = %d, MaxErr = %7.4f, Seed = %d\n",
    MaxIter,MaxErr,SeedRand);
  return 0;
}