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📄 siman_tsp.c

📁 This library is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY without ev
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/* siman/siman_tsp.c *  * Copyright (C) 1996, 1997, 1998, 1999, 2000 Mark Galassi *  * This program is free software; you can redistribute it and/or modify * it under the terms of the GNU General Public License as published by * the Free Software Foundation; either version 2 of the License, or (at * your option) any later version. *  * This program is distributed in the hope that it will be useful, but * WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU * General Public License for more details. *  * You should have received a copy of the GNU General Public License * along with this program; if not, write to the Free Software * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA. */#include <config.h>#include <math.h>#include <string.h>#include <stdio.h>#include <gsl/gsl_math.h>#include <gsl/gsl_rng.h>#include <gsl/gsl_siman.h>#include <gsl/gsl_ieee_utils.h>/* set up parameters for this simulated annealing run */#define N_TRIES 200             /* how many points do we try before stepping */#define ITERS_FIXED_T 2000      /* how many iterations for each T? */#define STEP_SIZE 1.0           /* max step size in random walk */#define K 1.0                   /* Boltzmann constant */#define T_INITIAL 5000.0        /* initial temperature */#define MU_T 1.002              /* damping factor for temperature */#define T_MIN 5.0e-1gsl_siman_params_t params = {N_TRIES, ITERS_FIXED_T, STEP_SIZE,                             K, T_INITIAL, MU_T, T_MIN};struct s_tsp_city {  const char * name;  double lat, longitude;        /* coordinates */};typedef struct s_tsp_city Stsp_city;void prepare_distance_matrix(void);void exhaustive_search(void);void print_distance_matrix(void);double city_distance(Stsp_city c1, Stsp_city c2);double Etsp(void *xp);double Mtsp(void *xp, void *yp);void Stsp(const gsl_rng * r, void *xp, double step_size);void Ptsp(void *xp);/* in this table, latitude and longitude are obtained from the US   Census Bureau, at http://www.census.gov/cgi-bin/gazetteer */Stsp_city cities[] = {{"Santa Fe",    35.68,   105.95},                      {"Phoenix",     33.54,   112.07},                      {"Albuquerque", 35.12,   106.62},                      {"Clovis",      34.41,   103.20},                      {"Durango",     37.29,   107.87},                      {"Dallas",      32.79,    96.77},                      {"Tesuque",     35.77,   105.92},                      {"Grants",      35.15,   107.84},                      {"Los Alamos",  35.89,   106.28},                      {"Las Cruces",  32.34,   106.76},                      {"Cortez",      37.35,   108.58},                      {"Gallup",      35.52,   108.74}};#define N_CITIES (sizeof(cities)/sizeof(Stsp_city))double distance_matrix[N_CITIES][N_CITIES];/* distance between two cities */double city_distance(Stsp_city c1, Stsp_city c2){  const double earth_radius = 6375.000; /* 6000KM approximately */  /* sin and cos of lat and long; must convert to radians */  double sla1 = sin(c1.lat*M_PI/180), cla1 = cos(c1.lat*M_PI/180),    slo1 = sin(c1.longitude*M_PI/180), clo1 = cos(c1.longitude*M_PI/180);  double sla2 = sin(c2.lat*M_PI/180), cla2 = cos(c2.lat*M_PI/180),    slo2 = sin(c2.longitude*M_PI/180), clo2 = cos(c2.longitude*M_PI/180);  double x1 = cla1*clo1;  double x2 = cla2*clo2;  double y1 = cla1*slo1;  double y2 = cla2*slo2;  double z1 = sla1;  double z2 = sla2;  double dot_product = x1*x2 + y1*y2 + z1*z2;  double angle = acos(dot_product);  /* distance is the angle (in radians) times the earth radius */  return angle*earth_radius;}/* energy for the travelling salesman problem */double Etsp(void *xp){  /* an array of N_CITIES integers describing the order */  int *route = (int *) xp;  double E = 0;  unsigned int i;  for (i = 0; i < N_CITIES; ++i) {    /* use the distance_matrix to optimize this calculation; it had       better be allocated!! */    E += distance_matrix[route[i]][route[(i + 1) % N_CITIES]];  }  return E;}double Mtsp(void *xp, void *yp){  int *route1 = (int *) xp, *route2 = (int *) yp;  double distance = 0;  unsigned int i;  for (i = 0; i < N_CITIES; ++i) {    distance += ((route1[i] == route2[i]) ? 0 : 1);  }  return distance;}/* take a step through the TSP space */void Stsp(const gsl_rng * r, void *xp, double step_size){  int x1, x2, dummy;  int *route = (int *) xp;  step_size = 0 ; /* prevent warnings about unused parameter */  /* pick the two cities to swap in the matrix; we leave the first     city fixed */  x1 = (gsl_rng_get (r) % (N_CITIES-1)) + 1;  do {    x2 = (gsl_rng_get (r) % (N_CITIES-1)) + 1;  } while (x2 == x1);  dummy = route[x1];  route[x1] = route[x2];  route[x2] = dummy;}void Ptsp(void *xp){  unsigned int i;  int *route = (int *) xp;  printf("  [");  for (i = 0; i < N_CITIES; ++i) {    printf(" %d ", route[i]);  }  printf("]  ");}int main(void){  int x_initial[N_CITIES];  unsigned int i;  const gsl_rng * r = gsl_rng_alloc (gsl_rng_env_setup()) ;  gsl_ieee_env_setup ();  prepare_distance_matrix();  /* set up a trivial initial route */  printf("# initial order of cities:\n");  for (i = 0; i < N_CITIES; ++i) {    printf("# \"%s\"\n", cities[i].name);    x_initial[i] = i;  }  printf("# distance matrix is:\n");  print_distance_matrix();  printf("# initial coordinates of cities (longitude and latitude)\n");  /* this can be plotted with */  /* ./siman_tsp > hhh ; grep city_coord hhh | awk '{print $2 "   " $3}' | xyplot -ps -d "xy" > c.eps */  for (i = 0; i < N_CITIES+1; ++i) {    printf("###initial_city_coord: %g %g \"%s\"\n",           -cities[x_initial[i % N_CITIES]].longitude,           cities[x_initial[i % N_CITIES]].lat,           cities[x_initial[i % N_CITIES]].name);  }/*   exhaustive_search(); */  gsl_siman_solve(r, x_initial, Etsp, Stsp, Mtsp, Ptsp, NULL, NULL, NULL,                  N_CITIES*sizeof(int), params);  printf("# final order of cities:\n");  for (i = 0; i < N_CITIES; ++i) {    printf("# \"%s\"\n", cities[x_initial[i]].name);  }  printf("# final coordinates of cities (longitude and latitude)\n");  /* this can be plotted with */  /* ./siman_tsp > hhh ; grep city_coord hhh | awk '{print $2 "   " $3}' | xyplot -ps -d "xy" > c.eps */  for (i = 0; i < N_CITIES+1; ++i) {    printf("###final_city_coord: %g %g %s\n",           -cities[x_initial[i % N_CITIES]].longitude,           cities[x_initial[i % N_CITIES]].lat,           cities[x_initial[i % N_CITIES]].name);  }  printf("# ");  fflush(stdout);#if 0  system("date");#endif /* 0 */  fflush(stdout);  return 0;}void prepare_distance_matrix(){  unsigned int i, j;  double dist;  for (i = 0; i < N_CITIES; ++i) {    for (j = 0; j < N_CITIES; ++j) {      if (i == j) {        dist = 0;      } else {        dist = city_distance(cities[i], cities[j]);      }      distance_matrix[i][j] = dist;    }  }}void print_distance_matrix(){  unsigned int i, j;  for (i = 0; i < N_CITIES; ++i) {    printf("# ");    for (j = 0; j < N_CITIES; ++j) {      printf("%15.8f   ", distance_matrix[i][j]);    }    printf("\n");  }}/* [only works for 12] search the entire space for solutions */static double best_E = 1.0e100, second_E = 1.0e100, third_E = 1.0e100;static int best_route[N_CITIES];static int second_route[N_CITIES];static int third_route[N_CITIES];static void do_all_perms(int *route, int n);void exhaustive_search(){  static int initial_route[N_CITIES] = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11};  printf("\n# ");  fflush(stdout);#if 0  system("date");#endif  fflush(stdout);  do_all_perms(initial_route, 1);  printf("\n# ");  fflush(stdout);#if 0  system("date");#endif /* 0 */  fflush(stdout);  printf("# exhaustive best route: ");  Ptsp(best_route);  printf("\n# its energy is: %g\n", best_E);  printf("# exhaustive second_best route: ");  Ptsp(second_route);  printf("\n# its energy is: %g\n", second_E);  printf("# exhaustive third_best route: ");  Ptsp(third_route);  printf("\n# its energy is: %g\n", third_E);}/* James Theiler's recursive algorithm for generating all routes */static void do_all_perms(int *route, int n){  if (n == (N_CITIES-1)) {    /* do it! calculate the energy/cost for that route */    double E;    E = Etsp(route);            /* TSP energy function */    /* now save the best 3 energies and routes */    if (E < best_E) {      third_E = second_E;      memcpy(third_route, second_route, N_CITIES*sizeof(*route));      second_E = best_E;      memcpy(second_route, best_route, N_CITIES*sizeof(*route));      best_E = E;      memcpy(best_route, route, N_CITIES*sizeof(*route));    } else if (E < second_E) {      third_E = second_E;      memcpy(third_route, second_route, N_CITIES*sizeof(*route));      second_E = E;      memcpy(second_route, route, N_CITIES*sizeof(*route));    } else if (E < third_E) {      third_E = E;      memcpy(route, third_route, N_CITIES*sizeof(*route));    }  } else {    int new_route[N_CITIES];    unsigned int j;    int swap_tmp;    memcpy(new_route, route, N_CITIES*sizeof(*route));    for (j = n; j < N_CITIES; ++j) {      swap_tmp = new_route[j];      new_route[j] = new_route[n];      new_route[n] = swap_tmp;      do_all_perms(new_route, n+1);    }  }}

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