uncommitted changes

aco.cc

@@ -219,8 +219,7 @@ void update_pheromone_map() {
 }
 
 
-void mainloop() {
-  for (size_t i = 0; i < n_iterations; i++) {
+double mainloop(size_t i) {
     srand(i);
     //cerr << "starting ants" << endl;
     for (uint j = 0; j < n_ants; j++) {
@@ -232,9 +231,12 @@ void mainloop() {
     }
     //cerr << "summing ants" << endl;
     uint os = 0;
+    unsigned long sum = 0L;
     for (uint j = 0; j < n_ants; j++) {
       os += ants[j].other;
       populate_ant_updated_pheromone_map(ants[j]);
+      sum += ants[j].distance_travelled;
+
 
       if (sh_dist < 0 || ants[j].distance_travelled < sh_dist) {
         sh_dist = ants[j].distance_travelled;
@@ -252,12 +254,14 @@ void mainloop() {
 
     memset(ant_updated_pheromone_map, 0, sizeof(ant_updated_pheromone_map));
 
+    return (double) sum / (double) n_ants;
+
     /*double real = 0;
       for (uint k = 0; k < n_nodes; k++) {
       real += dist_matrix[sh_route[k]][sh_route[(k + 1) % n_nodes]];
       }*/
 
-    cerr << "iteration " << i << ": dist " << sh_dist << endl;// << " os " << os << " rdist " << real << endl;
+    //cerr << "iteration " << i << ": dist " << sh_dist << endl;// << " os " << os << " rdist " << real << endl;
     /*
        uint nnz = 0;
        double sum = 0, min = 1.0/0.0, max = -1.0/0.0;
@@ -270,7 +274,6 @@ void mainloop() {
        }
        }
        cerr << "phmap: avg " << sum / (double) (n_nodes * n_nodes) << " min " << min << " max " << max << " nnz " << nnz << endl;*/
-  }
 }
 
 uint two_opt() {
@@ -353,6 +356,7 @@ uint two_five_opt() {
 #define buffersize 100000
 
 int main(int argc, char** argv) {
+  unsigned started = time(NULL);
   if (argc < 8) {
     cerr << argv[0] << " [n_nodes] [n_iter] [n_ants] [alpha] [beta] [evap] [weight]" << endl;
     return 1;
@@ -400,7 +404,22 @@ int main(int argc, char** argv) {
 
   init_aco();
   // scan and parse
-  mainloop();
+
+  unsigned limit = 175;
+  unsigned last_time = started;
+  unsigned last_delta = 0;
+  for (size_t i = 0; i < n_iterations; i++) {
+    double d = mainloop(i);
+    unsigned now = time(NULL);
+    if ((now - started) + last_delta > limit) {
+        cerr << "out of time" << endl;
+        break;
+    }
+    cerr << "iter: " << i << " - dist: " << sh_dist << " - avg: "
+         << d << " - elapsed: " << now - started << endl;
+    last_delta = now - last_time;
+    last_time = now;
+  }
 
   //for (uint k = 0; k < n_nodes; k++) {
   //  cerr << "p: " << sh_route[k] << ": " << dist_matrix[sh_route[k]][sh_route[(k + 1) % n_nodes]] << endl;

aco_gambardella.txt

@@ -0,0 +1,6 @@
+ants = 10
+alpha = 0.1
+rho = 0.1
+q0 = 0.95 = 1 - (15/nCities)
+beta = b1 = 1
+

src/ant_colony.py

@@ -24,6 +24,15 @@ import os
 #   kroA100=21665 eil76=550 lin318=43675
 # Separate run: fl1577=24238 (132s) rat783=9389 (174s)
 
+# Run #3
+# alpha, beta, evap, weight = (0.1, 1, 0.1, 1 - 15/instance.nPoints)
+# ants, loops = (800, 75) if instance.nPoints > 1100 \
+#     else (800, 100) if instance.nPoints > 1000 \
+#     else (800, 300) if instance.nPoints > 700 \
+#     else (800, 750) if instance.nPoints > 500 \
+#     else (800, 1000) if instance.nPoints > 300 \
+#     else (800, 1250) if instance.nPoints > 195 else (800, 1500)
+
 dir = "/Users/maggicl/Git/AI2020BsC/c_prob/"
 def ant_colony_opt(instance):
     fname = dir + instance.name + ".txt"
@@ -34,22 +43,19 @@ def ant_colony_opt(instance):
             for i in range(instance.nPoints):
                 print(" ".join(map(str, instance.dist_matrix[i])), file=f)
 
-    alpha, beta, evap, weight = (0.9, 8, 0.4, 100_000)
-    ants, loops = (1000,7) if instance.nPoints > 1100 \
-        else (600,15) if instance.nPoints > 1000 \
-        else (750,30) if instance.nPoints > 700 \
-        else (975,40) if instance.nPoints > 500 \
-        else (1000,50) if instance.nPoints > 300 \
-        else (1100,70) if instance.nPoints > 195 else (2700, 140)
+    alpha, beta, evap, weight = (0.9, 6, 0.6, 100_000)
+    ants, loops = (400, 100_000) if instance.nPoints > 1100 \
+        else (600, 15) if instance.nPoints > 1000 \
+        else (750, 30) if instance.nPoints > 700 \
+        else (975, 40) if instance.nPoints > 500 \
+        else (1000, 50) if instance.nPoints > 300 \
+        else (1100, 70) if instance.nPoints > 195 else (2700, 140)
 
     # Call C++ program
     cmd = dir + "aco " + str(instance.nPoints) + " " + str(loops) + " " + str(ants) + \
-        " " + str(alpha) + " " + str(beta) +  " " + str(evap) +  " " + str(weight) +" < " + fname + " &2>/dev/null"
+        " " + str(alpha) + " " + str(beta) + " " + str(evap) + " " + str(weight) + \
+        " < " + fname + " &2>/dev/null"
     print(cmd)
     solution = eval(os.popen(cmd).read())
     solution.append(solution[0])
     return solution
-
-if __name__ == "__main__":
-    ant_colony_opt(ProblemInstance("../problems/eil76.tsp"))
-

src/two_opt.py

@@ -25,7 +25,7 @@ def swap2opt(tsp_sequence, i, j):
 
 def gain(i, j, tsp_sequence, matrix_dist):
     old_link_len = (matrix_dist[tsp_sequence[i], tsp_sequence[i - 1]] + matrix_dist[
-        tsp_sequence[j], tsp_sequence[j + 1]])x
+        tsp_sequence[j], tsp_sequence[j + 1]])
     changed_links_len = (matrix_dist[tsp_sequence[j], tsp_sequence[i - 1]] + matrix_dist[
         tsp_sequence[i], tsp_sequence[j + 1]])
     return - old_link_len + changed_links_len