GEATbx: | Main page Tutorial Algorithms M-functions Parameter/Options Example functions www.geatbx.com |
1.9 Ackley's Path function 10 | Contents | 1.11 Michalewicz's function 12 |
The Langermann function is a multimodal test function. The local minima are unevenly distributed.
f11(x)=-sum(c(i)·(exp(-1/pi·sum((x-A(i))^2))·cos(pi·sum((x-A(i))^2)))),
i=1:m, m=5;
0<=x(i)<=10
.
f(x)=-1.4 (for m=5); x(i)=???,
i=1:n
.
This function is implemented in objfun11.
The figures below display Langermann's function with different variables. The graphic on the left side shows a mesh plot of the first and second variable. The graphic on the right side uses the second and third variable while the first variable is set to 0.
GEATbx: | Main page Tutorial Algorithms M-functions Parameter/Options Example functions www.geatbx.com |