Drop-Wave Function
Mathematical Definition
\[f(x, y) = - \frac{1 + cos(12\sqrt{x^{2} + y^{2}})}{(0.5(x^{2} + y^{2}) + 2)}\]Plots
The contour of the function:
Description and Features
- The function is continuous.
- The function is not convex.
- The function is defined on 2-dimensional space.
- The function is multimodal.
Input Domain
The function can be defined on any input domain but it is usually evaluated on $x_i \in [-5.2, 5.2]$ for $i = 1, 2$.
Global Minima
$f(\textbf{x}^{\ast}) = -1$ at $\textbf{x}^{\ast} = (0, 0)$
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 dropwave
print(dropwave([[0, 0],
[1, 1]]))
MATLAB
An implementation of the Drop-Wave Function with MATLAB is provided below.
% Computes the value of the Drop-Wave benchmark function.
% SCORES = DROPWAVEFCN(X) computes the value of the Drop-Wave function at
% point X. DROPWAVEFCN 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:
%
% 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 = dropwavefcn(x)
n = size(x, 2);
assert(n == 2, 'Drop-Wave function is only defined on a 2D space.')
X = x(:, 1);
Y = x(:, 2);
numeratorcomp = 1 + cos(12 * sqrt(X .^ 2 + Y .^ 2));
denumeratorcom = (0.5 * (X .^ 2 + Y .^ 2)) + 2;
scores = - numeratorcomp ./ denumeratorcom;
end
The function can be represented in Latex as follows:
f(x, y) = - \frac{1 + cos(12\sqrt{x^{2} + y^{2}})}{(0.5(x^{2} + y^{2}) + 2)}
References:
- http://www.sfu.ca/~ssurjano