測試函數主要是用來評估優化算法特性的,這里我用python3繪制了部分測試函數的圖像。具體的測試函數可以結合維基百科來了解。想要顯示某個測試函數的圖片把代碼結尾對應的注釋去掉即可,具體代碼如下:
import numpy as np import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D def draw_pic(X, Y, Z, z_max, title, z_min=0): fig = plt.figure() ax = Axes3D(fig) ax.plot_surface(X, Y, Z, rstride=1, cstride=1, cmap=plt.cm.hot) # ax.contourf(X, Y, Z, zdir='z', offset=-2, cmap=plt.cm.hot) ax.set_zlim(z_min, z_max) ax.set_title(title) # plt.savefig("./myProject/Algorithm/pic/%s.png" % title) # 保存圖片 plt.show() def get_X_AND_Y(X_min, X_max, Y_min, Y_max): X = np.arange(X_min, X_max, 0.1) Y = np.arange(Y_min, Y_max, 0.1) X, Y = np.meshgrid(X, Y) return X, Y # rastrigin測試函數 def Rastrigin(X_min = -5.52, X_max = 5.12, Y_min = -5.12, Y_max = 5.12): A = 10 X, Y = get_X_AND_Y(X_min, X_max, Y_min, Y_max) Z = 2 * A + X ** 2 - A * np.cos(2 * np.pi * X) + Y ** 2 - A * np.cos(2 * np.pi * Y) return X, Y, Z, 100, "Rastrigin function" # Ackley測試函數 def Ackley(X_min = -5, X_max = 5, Y_min = -5, Y_max = 5): X, Y = get_X_AND_Y(X_min, X_max, Y_min, Y_max) Z = -20 * np.exp(-0.2 * np.sqrt(0.5 * (X**2 + Y**2))) - \ np.exp(0.5 * (np.cos(2 * np.pi * X) + np.cos(2 * np.pi * Y))) + np.e + 20 return X, Y, Z, 15, "Ackley function" # Sphere測試函數 def Sphere(X_min = -3, X_max = 3, Y_min = -3, Y_max = 3): X, Y = get_X_AND_Y(X_min, X_max, Y_min, Y_max) Z = X**2 + Y**2 return X, Y, Z, 20, "Sphere function" # beale測試函數 def Beale(X_min = -4.5, X_max = 4.5, Y_min = -4.5, Y_max = 4.5): X, Y = get_X_AND_Y(X_min, X_max, Y_min, Y_max) Z = np.power(1.5 - X + X * Y, 2) + np.power(2.25 - X + X * (Y ** 2), 2) \ + np.power(2.625 - X + X * (Y ** 3), 2) return X, Y, Z, 150000, "Beale function" # Booth測試函數 def Booth(X_min = -10, X_max = 10, Y_min = -10, Y_max = 10): X, Y = get_X_AND_Y(X_min, X_max, Y_min, Y_max) Z = np.power(X + 2*Y - 7, 2) + np.power(2 * X + Y - 5, 2) return X, Y, Z, 2500, "Booth function" # Bukin測試函數 def Bukin(X_min = -15, X_max = -5, Y_min = -3, Y_max = 3): X, Y = get_X_AND_Y(X_min, X_max, Y_min, Y_max) Z = 100 * np.sqrt(np.abs(Y - 0.01 * X**2)) + 0.01 * np.abs(X + 10) return X, Y, Z, 200, "Bukin function" # Three-hump camel測試函數 def three_humpCamel(X_min = -5, X_max = 5, Y_min = -5, Y_max = 5): X, Y = get_X_AND_Y(X_min, X_max, Y_min, Y_max) Z = 2 * X**2 - 1.05 * X**4 + (1/6) * X**6 + X*Y + Y*2 return X, Y, Z, 2000, "three-hump camel function" # H?lder table測試函數 def Holder_table(X_min = -10, X_max = 10, Y_min = -10, Y_max = 10): X, Y = get_X_AND_Y(X_min, X_max, Y_min, Y_max) Z = -np.abs(np.sin(X) * np.cos(Y) * np.exp(np.abs(1 - np.sqrt(X**2 + Y**2)/np.pi))) return X, Y, Z, 0, "H?lder table function", -20 z_min = None # X, Y, Z, z_max, title = Rastrigin() # X, Y, Z, z_max, title = Ackley() # X, Y, Z, z_max, title = Sphere() # X, Y, Z, z_max, title = Beale() X, Y, Z, z_max, title = Booth() # X, Y, Z, z_max, title = Bukin() # X, Y, Z, z_max, title = three_humpCamel() # X, Y, Z, z_max, title, z_min = Holder_table() draw_pic(X, Y, Z, z_max, title, z_min)
以下是上述代碼繪制的測試函數的圖像:
感覺圖像的顏色還不是很好看,等之后優化了來改
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