Mathematical Definition
where ∈ is a random number that is drawn uniformly from [0,1]
Input Domain
The function can be defined on any input domain but it is usually evaluated on xi ∈ [−5,5], for i=1,…,n.
Global Minima
The global minima f(x∗) =0 are located at x∗=(0,…,0).
Characteristics
The function is not convex.
The function is defined on n-dimensional space.
The function is separable.
The function is non-differentiable.
Python Implementation
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% Author: SHIVANGI CHANDRA DUBEY
#For n=2
#xinSheYang accepts the values of 2 MxM dimension matrices X1, X2
#it returns the computation of the matrices in an MxM matrix Z
#the function is then plotted using (X1,X2,Z)
#thus giving us a contour plot
from mpl_toolkits import mplot3d
%matplotlib inline
import numpy as np
import matplotlib.pyplot as plt
from matplotlib import cm
def xinSheYang(x1,x2):
return np.random.random(1)*pow(abs(x1),1) +
np.random.random(1)*pow(abs(x2),2)
x1=np.linspace(-5,5,10)
x2=np.linspace(-5,5,10)
X1,X2=np.meshgrid(x1,x2)
Z=xinSheYang(X1,X2)
def plotFunction(e,a):
fig=plt.figure(figsize = [12,8])
ax=plt.axes(projection='3d')
surf=ax.plot_surface(X1,X2,Z,cmap=cm.coolwarm)
ax.view_init(elev=e,azim=a)
ax.set_xlabel('X1')
ax.set_ylabel('X2')
ax.set_zlabel('fx')
ax.set_title('Xin-She Yang Function')
fig.colorbar(surf, shrink=0.5, aspect=5)
plt.show()
plt.contour(X1,X2,Z)
plt.show()
from ipywidgets import interactive
iplot=interactive(plotFunction,
e=(-90,90,5),
a=(-90,90,5))
iplotReferences:
[1] Survajonic, Sonja & Bingham, Derek, “Virtual Library of Simulation Experiments”, sfu.ca,
https://www.sfu.ca/~ssurjano/optimization.html