Specifies various parameters of the Differential Evolution optimization algorithm implemented in DEoptim
.
set.control(CR=.85, F=.7, NP=300, itermax=2000, parallelType=1)
numeric, crossover probability from interval [0,1].
numeric, differential weighting factor from interval [0,2].
numeric, number of population members
numeric, the number of iterations
numeric, defines the type of parallelization to employ. 0
for a single-core run. If parallelType=1
the program will use all the available cores, via the parallel
package.
a list of elements suitable for do.fit
and do.fit.banks
.
For the most tasks, it is best to set NP
to at least 10-15 times the length of the parameter vector.
Mullen, K.M., Ardia, D., Gil, D., Windover, D., Cline, J. (2011): DEoptim: An R Package for Global Optimization by Differential Evolution. J. Stat. Softw., 40(6), 1-26. https://www.jstatsoft.org/article/view/v040i06.