selfAdapt {CEGO} | R Documentation |
Self-adaption of EA parameters.
Description
Learning / self-adaption of parameters of the evolutionary algorithm.
Usage
selfAdapt(
params,
inum,
icat,
iint,
nnum,
ncat,
nint,
lower,
upper,
values,
nvalues,
tau,
p
)
Arguments
params |
parameters to be self-adapted |
inum |
boolean vector, which parameters are numeric |
icat |
boolean vector, which parameters are discrete, factors |
iint |
boolean vector, which parameters are integer |
nnum |
number of numerical parameters |
ncat |
number of discrete parameters |
nint |
number of integer parameters |
lower |
lower bounds (numeric, integer parameters only) |
upper |
upper bounds (numeric, integer parameters only) |
values |
values or levels of the discrete parameters |
nvalues |
number of values for each discrete parameter |
See Also
[Package CEGO version 2.4.3 Index]