random.c

matlab遗传算法程序 GATOOLS 遗传算法资源 GA

/*
SGPC: Simple Genetic Programming in C
(c) 1993 by Walter Alden Tackett and Aviram Carmi
 
 This code and documentation is copyrighted and is not in the public domain.
 All rights reserved. 
 
 - This notice may not be removed or altered.
 
 - You may not try to make money by distributing the package or by using the
   process that the code creates.
 
 - You may not distribute modified versions without clearly documenting your
   changes and notifying the principal author.
 
 - The origin of this software must not be misrepresented, either by
   explicit claim or by omission.  Since few users ever read sources,
   credits must appear in the documentation.
 
 - Altered versions must be plainly marked as such, and must not be
   misrepresented as being the original software.  Since few users ever read
   sources, credits must appear in the documentation.
 
 - The authors are not responsible for the consequences of use of this 
   software, no matter how awful, even if they arise from flaws in it.
 
If you make changes to the code, or have suggestions for changes,
let us know!  ([e-mail])
*/

#ifndef lint
static char random_c_rcsid[]="$Id: random.c,v 2.9 1993/04/22 07:39:12 gpc-avc Exp gpc-avc $";
#endif

/*
 *
 * $Log: random.c,v $
 * Revision 2.9  1993/04/22  07:39:12  gpc-avc
 * Removed old log messages
 *
 * Revision 2.8  1993/04/14  04:53:06  gpc-avc
 * Finished modes for checkpoining
 *
 *
 */

#include <math.h>
#include "random.h"

/* definitions for the random number generator (seed * GEN % MOD) */
#define GEN 16807
#define MOD 2147483647
#define QUO 127773
#define RES 2836

static long	seed;

#ifdef ANSI_FUNC

void set_seed(
  unsigned long s
  )
#else

void set_seed(s)
  unsigned long	s;
#endif
{
  seed = (long)s;
}

#ifdef ANSI_FUNC

unsigned long get_seed(void)
#else

unsigned long get_seed()
#endif
{
  return seed;
}

#ifdef ANSI_FUNC

float park_miller_randomizer(void)
#else

float park_miller_randomizer()
#endif
{
  float retval;

  retval = (float) (((double) PMrand(&seed)) / ((double) MOD));
  return retval;
}

/* Park-Miller "minimal standard" pseudo random number generator */
/* Implementation by Jan Jannink (c) 1992 */

#ifdef ANSI_FUNC

long PMrand(
	long *s
	)
#else

long PMrand(s)
long	*s;
#endif
{
  long   tmp;

  tmp = (*s >> 16) * GEN;
  *s = (*s & 65535) * GEN + ((tmp & 32767) << 16) + (tmp >> 15);
  return (*s -= (*s < 0 ? MOD: 0));
}

#ifdef ANSI_FUNC

float gaussian_noise(
  float mean,
  float sigma
  )
#else

float gaussian_noise(mean, sigma) 
  float mean;
  float sigma;
#endif
{
  float		gauss;

  if (gaussian_noise_toggle) {
    gaussian_noise_uniform1 = (random_float(1.0));
    gaussian_noise_uniform2 = (random_float(1.0));
    gaussian_noise_temp = sqrt(-2.0*log((double)gaussian_noise_uniform1));
    gauss = gaussian_noise_temp * 
      (float)cos((double)(2.0*M_PI*gaussian_noise_uniform2));
  }
  else {
    gauss = gaussian_noise_temp * 
      (float)sin((double)(2.0*M_PI*gaussian_noise_uniform2));
  }
  gaussian_noise_toggle = ! gaussian_noise_toggle;
  return mean + (sigma * gauss);
}

#ifdef ANSI_FUNC

float random_float( /* 0 <=  random_float() < f */
  float f
  )
#else

float random_float(f) /* 0 <=  random_float() < f */
  float 	f;
#endif
{
  float	retval;

  retval = (f*(1.0-park_miller_randomizer()));
  return retval;
}

#ifdef ANSI_FUNC

int random_int( /* 0 <= random_int() < i */
  int i
  )
#else

int random_int(i) /* 0 <= random_int() < i */ 
  int	i;
#endif
{
  int	retval;

  retval = (int) (i * random_float(1.0));
  return retval;
}