version 0.5.4

Author: guofei9987

README.md

@@ -401,12 +401,12 @@ More: Plot the animation:
 
 
 ## 5. ACA (Ant Colony Algorithm) for tsp 
--> Demo code: [examples/demo_aca_tsp.py#s2](https://github.com/guofei9987/scikit-opt/blob/master/examples/demo_aca_tsp.py#L23)
+-> Demo code: [examples/demo_aca_tsp.py#s2](https://github.com/guofei9987/scikit-opt/blob/master/examples/demo_aca_tsp.py#L17)
 ```python
 from sko.ACA import ACA_TSP
 
-aca = ACA_TSP(func=cal_total_distance, n_dim=8,
-              size_pop=10, max_iter=20,
+aca = ACA_TSP(func=cal_total_distance, n_dim=num_points,
+              size_pop=50, max_iter=200,
               distance_matrix=distance_matrix)
 
 best_x, best_y = aca.run()

docs/en/README.md

@@ -381,12 +381,12 @@ More: Plot the animation:
 
 
 ## 5. ACA (Ant Colony Algorithm) for tsp 
--> Demo code: [examples/demo_aca_tsp.py#s2](https://github.com/guofei9987/scikit-opt/blob/master/examples/demo_aca_tsp.py#L23)
+-> Demo code: [examples/demo_aca_tsp.py#s2](https://github.com/guofei9987/scikit-opt/blob/master/examples/demo_aca_tsp.py#L17)
 ```python
 from sko.ACA import ACA_TSP
 
-aca = ACA_TSP(func=cal_total_distance, n_dim=8,
-              size_pop=10, max_iter=20,
+aca = ACA_TSP(func=cal_total_distance, n_dim=num_points,
+              size_pop=50, max_iter=200,
               distance_matrix=distance_matrix)
 
 best_x, best_y = aca.run()

docs/make_doc.py

@@ -12,6 +12,8 @@
 需要从py文件中解析出：
 1. # %% 做断点后赋予index值，然后插入readme
 '''
+import os
+import sys
 
 import re
 
@@ -93,3 +95,5 @@ def make_doc(origin_file):
     docs_new = make_doc(origin_file=i)
     with open(i, encoding='utf-8', mode="w") as f:
         f.writelines(docs_new)
+
+sys.exit()

docs/zh/README.md

@@ -350,12 +350,12 @@ print(best_points, best_distance, cal_total_distance(best_points))
 ## 5. 蚁群算法
 蚁群算法(ACA, Ant Colony Algorithm)解决TSP问题
 
--> Demo code: [examples/demo_aca_tsp.py#s2](https://github.com/guofei9987/scikit-opt/blob/master/examples/demo_aca_tsp.py#L23)
+-> Demo code: [examples/demo_aca_tsp.py#s2](https://github.com/guofei9987/scikit-opt/blob/master/examples/demo_aca_tsp.py#L17)
 ```python
 from sko.ACA import ACA_TSP
 
-aca = ACA_TSP(func=cal_total_distance, n_dim=8,
-              size_pop=10, max_iter=20,
+aca = ACA_TSP(func=cal_total_distance, n_dim=num_points,
+              size_pop=50, max_iter=200,
               distance_matrix=distance_matrix)
 
 best_x, best_y = aca.run()

examples/demo_aca_tsp.py

@@ -3,7 +3,6 @@
 import pandas as pd
 import matplotlib.pyplot as plt
 
-np.random.seed(6)
 num_points = 25
 
 points_coordinate = np.random.rand(num_points, 2)  # generate coordinate of points
@@ -25,8 +24,9 @@ def cal_total_distance(routine):
 best_x, best_y = aca.run()
 
 # %% Plot
-fig, ax = plt.subplots(1, 1)
+fig, ax = plt.subplots(1, 2)
 best_points_ = np.concatenate([best_x, [best_x[0]]])
 best_points_coordinate = points_coordinate[best_points_, :]
-ax.plot(best_points_coordinate[:, 0], best_points_coordinate[:, 1], 'o-r')
+ax[0].plot(best_points_coordinate[:, 0], best_points_coordinate[:, 1], 'o-r')
+pd.DataFrame(aca.y_best_history).cummin().plot(ax=ax[1])
 plt.show()