Description Usage Arguments See Also
Learning / self-adaption of parameters of the evolutionary algorithm.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | selfAdapt(
params,
inum,
icat,
iint,
nnum,
ncat,
nint,
lower,
upper,
values,
nvalues,
tau,
p
)
|
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 |
nvaleus |
number of values for each discrete parameter |
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