Single objective optimization using a CMA-ES.
The following parameters are available for fine tuning of the algorithm selected:
The resulting analysis is the following:
(blue points are representing lowest values, red ones are highest values)
Hansen, N. (2006). The CMA Evolution Strategy: A Comparing Review. In J.A. Lozano, P. Larranga, I. Inza and E. Bengoetxea (eds.). Towards a new evolutionary computation. Advances in estimation of distribution algorithms. pp. 75-102, Springer.
This optimization algorithm is wrapped from the [R]
CMA-ES package.
copy
in “
Promethee_Install_Path/plugins/doe” directory,
-
The resulting analysis is the following:
(blue points are representing lowest values, red ones are highest values)