Cross-in-Tray Function
Mathematical Definition
\[f(x,y)=-0.0001(|sin(x)sin(y)exp(|100-\frac{\sqrt{x^2+y^2}}{\pi}|)|+1)^{0.1}\]Plots
The contour of the function is as presented below:
Description and Features
- The function is continuous.
- The function is not convex.
- The function is defined on 2-dimensional space.
- The function is multimodal.
- The function is non-differentiable.
- The function is .
- The function is .
Input Domain
The function can be defined on any input domain but it is usually evaluated on $x \in [-10, 10]$ and $y \in [-10, 10]$ .
Global Minima
The function has four global minima $f(\textbf{x}^{\ast})=-2.06261218$ at $\textbf{x}^{\ast} = (\pm1.349406685353340,\pm1.349406608602084)$.
Implementation
Python
For Python, the function is implemented in the benchmarkfcns package, which can be installed from command line with pip install benchmarkfcns
.
from benchmarkfcns import crossintray
print(crossintray([[0, 0],
[1, 1]]))
MATLAB
An implementation of the Cross-in-Tray Function with MATLAB is provided below.
% Computes the value of the Cross-in-tray benchmark function.
% SCORES = CROSSINTRAYFCN(X) computes the value of the Cross-in-tray
% function at point X. CROSSINTRAYFCN accepts a matrix of size M-by-2
% and returns a vetor SCORES of size M-by-1 in which each row contains the
% function value for the corresponding row of X. For more information
% please visit:
% https://en.wikipedia.org/wiki/Test_functions_for_optimization
%
% Author: Mazhar Ansari Ardeh
% Please forward any comments or bug reports to mazhar.ansari.ardeh at
% Google's e-mail service or feel free to kindly modify the repository.
function scores = crossintrayfcn(x)
n = size(x, 2);
assert(n == 2, 'The Cross-in-tray function is only defined on a 2D space.')
X = x(:, 1);
Y = x(:, 2);
expcomponent = abs(100 - (sqrt(X .^2 + Y .^2) / pi));
scores = -0.0001 * ((abs(sin(X) .* sin(Y) .* exp(expcomponent)) + 1) .^ 0.1);
end
The function can be represented in Latex as follows:
f(x,y)=-0.0001(|sin(x)sin(y)exp(|100-\frac{\sqrt{x^2+y^2}}{\pi}|)|+1)^{0.1}
References:
- http://www.sfu.ca/~ssurjano/crossit.html
- https://en.wikipedia.org/wiki/Test_functions_for_optimization
- Momin Jamil and Xin-She Yang, A literature survey of benchmark functions for global optimization problems, Int. Journal of Mathematical Modelling and Numerical Optimisation}, Vol. 4, No. 2, pp. 150–194 (2013), arXiv:1308.4008