seq.c

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

/* Implementation of sequential features */

#include "defs.h"
#include "seq.h"

/* Parameter Handling */

#define DEFPOPSIZE	100
#define DEFMAXGEN	10000
#define DEFMAXERR	0.01
#define DEFSEED		AUTO

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

char *SeqUsage() {return	
  "Simulation Parameters:\n"
  "-p <population size>:             100\n"
  "-g <max. no. of generations>:     10000\n"
  "-e <max. error for succes>:       0.01\n"
  "-s <random seed value>:           time\n\0";}

/* set default values */

int PopSize	=DEFPOPSIZE;	/* size of actual population */
int MaxGen	=DEFMAXGEN;	/* Maximum no. of generations */
errtyp MaxErr	=DEFMAXERR;	/* Maximum error for succes */
int SeedRand	=DEFSEED;	/* random seed */

int handleSeqOpt(char opt,char* arg)
{
  switch(opt)
  {
    case 'p': return (PopSize	=getint(arg,2,1000000))<0;
    case 'g': return (MaxGen 	=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;
  };
}

void errorexit(char *msg)
{
  printf(msg);
  exit(1);
}

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

  sprintf(SeqParamStr,
    "Simulation: serial, PopSize = %d, MaxGen = %d, "
    "MaxErr = %7.4f\n            RandomSeed = %d\n",
    PopSize,MaxGen,MaxErr,SeedRand);
  return 0;
}