Schaffer N. 2 Function
Mathematical Definition
\[f(x, y)=0.5 + \frac{sin^2(x^2-y^2)-0.5}{(1+0.001(x^2+y^2))^2}\]Plots
Two contours of the function are 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 unimodal.
- The function is differentiable.
- The function is non-separable.
- The function is .
Input Domain
The function can be defined on any input domain but it is usually evaluated on $x_i \in [-100, 100]$ for $i=1, 2$.
Global Minima
The function has one global minimum $f(\textbf{x}^{\ast})=0.0$ 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
.
MATLAB
An implementation of the Schaffer N. 2 Function with MATLAB is provided below.
The function can be represented in Latex as follows:
References:
- http://www.sfu.ca/~ssurjano/schaffer2.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
- S. K. Mishra, “Some New Test Functions For Global Optimization And Performance of Repulsive Particle Swarm Method,” [Available Online]: http://mpra.ub.uni-muenchen.de/2718/