コード例 #1
0
int sa_solve(double temperature, double temperature_min, double energy_limit, double damping_factor, int iters)
{
  mds_data_t *t;
  printf("%f %f\n",temperature, temperature_min);
  steps_count=0;
  S.temperature			= temperature;
  S.minimum_temperature		= temperature_min;
  S.damping_factor		= damping_factor;
  S.energy_limit		= energy_limit * lower_triangle2;
  S.number_of_iterations_at_fixed_temperature = iters;
  annealing_simple_solve(&S);
  t = (mds_data_t *) S.best_configuration.data;

  return steps_count;
}
コード例 #2
0
ファイル: fitting.c プロジェクト: marcomaggi/annealing
int
main (int argc, char ** argv)
{
  annealing_simple_workspace_t	S;
  fitting_data_t	D;
  fitting_step_t	max_step = { 1.0, 0.1, 1.0 };
  configuration_t	configurations[3];
  int			verbose_mode = 0;


  {
    int c;

    while ((c = getopt(argc, argv, "hv")) != -1)
      switch (c)
	{
	case 'h':
	  fprintf(stderr, "usage: test_fitting [-v] [-h]\n");
	  goto exit;
	case 'v':
	  verbose_mode = 1;
	  break;
	default:
	  fprintf(stderr, "test_fitting error: unknown option %c\n", c);
	  exit(EXIT_FAILURE);
	}
  }

  printf("\n------------------------------------------------------------\n");
  printf("test_fitting: exponential parameters fitting with simulated annealing\n");

  /* fitting data initialisation */
  {
    D.num = NUM;
    linspace(D.t, D.num, 0.0, 10.0);
    make_observations(D.t, D.observations, D.num);
  }

  /* annealing workspace initialisation */
  {
    S.number_of_iterations_at_fixed_temperature = 10;
    S.max_step_value		= &max_step;

    S.temperature		= 10.0;
    S.minimum_temperature	= 0.1;
    S.restart_temperature	= 1.0;
    S.boltzmann_constant	= 1.0;
    S.damping_factor		= 1.005;

    S.energy_function		= energy_function;
    S.step_function		= step_function;
    S.copy_function		= copy_function;
    S.log_function		= (verbose_mode)? log_function : NULL;
    S.cooling_function		= NULL;

    S.numbers_generator		= gsl_rng_alloc(gsl_rng_rand);
    gsl_rng_set(S.numbers_generator, 15);

    S.current_configuration.data= &(configurations[0]);
    S.best_configuration.data	= &(configurations[1]);
    S.new_configuration.data	= &(configurations[2]);

    /* start configuration */
    configurations[0].A		= 6.0;
    configurations[0].lambda	= 3.0;
    configurations[0].b		= 1.0;

    S.params			= &D;
  }

  annealing_simple_solve(&S);

  printf("test_fitting: final best solution: %f, %f, %f; original: %g, %g, %g\n",
	 configurations[1].A, configurations[1].lambda, configurations[1].b,
	 original_params.A, original_params.lambda, original_params.b);
  printf("------------------------------------------------------------\n\n");

  gsl_rng_free(S.numbers_generator);
 exit:
  exit(EXIT_SUCCESS);
}