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Functions.py
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Functions.py
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import numpy as np
Eggholder_Function_Limits = np.array([-512, 512])
def Eggholder_Function(x, y) :
return ( - (y + 47) * np.sin( np.sqrt( np.abs( x / 2 + y + 47 ) ) )
- x * np.sin( np.sqrt( np.abs( x - ( y + 47 ) ) ) ) )
Styblinski_Tang_Function_Limits = np.array([-5, 5])
def Styblinski_Tang_Function(x, y) :
return 0.5 * (x**4 + y**4) - 8 * (x**2 + y**2) + 2.5 * (x + y)
Booth_Function_Limits = np.array([-10, 10])
def Booth_Function(x, y) :
return (x + 2*y - 7)**2 + (2*x + y - 5)**2
if __name__ == "__main__":
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
plt.style.use('dark_background')
plt.rcParams.update({'axes.labelsize':15, 'axes.titlesize':15})
fig = plt.figure()
ax1 = fig.add_subplot(311, projection='3d')
ax2 = fig.add_subplot(312, projection='3d')
ax3 = fig.add_subplot(313, projection='3d')
n = 100
axis = np.linspace(Booth_Function_Limits[0], Booth_Function_Limits[1], n)
X, Y = np.meshgrid(axis, axis)
ax1.plot_surface(X, Y, Booth_Function(X, Y), cmap='magma')
ax1.set_xlabel('x')
ax1.set_ylabel('y')
ax1.set_xticks(np.linspace(Booth_Function_Limits[0], Booth_Function_Limits[1], 5, dtype=int))
ax1.set_yticks(np.linspace(Booth_Function_Limits[0], Booth_Function_Limits[1], 5, dtype=int))
axis = np.linspace(Styblinski_Tang_Function_Limits[0], Styblinski_Tang_Function_Limits[1], n)
X, Y = np.meshgrid(axis, axis)
ax2.plot_surface(X, Y, Styblinski_Tang_Function(X, Y), cmap='magma')
ax2.set_xlabel('x')
ax2.set_ylabel('y')
axis = np.linspace(Eggholder_Function_Limits[0], Eggholder_Function_Limits[1], n)
X, Y = np.meshgrid(axis, axis)
ax3.plot_surface(X, Y, Eggholder_Function(X, Y), cmap='magma')
ax3.set_xlabel('x')
ax3.set_ylabel('y')
plt.show()