This function is deprecated and will be removed in a near future
VMPF(
model,
fun,
nsteps,
lower = rep(0, model@d),
upper = rep(1, model@d),
quiet = TRUE,
control = NULL,
modelcontrol = NULL
)An object of class mkm,
The multi-objective and constraint cost function to be optimized.
This function must return a vector with the size of model@m +
model@j where model@m are the number of objectives and
model@j the number of the constraints,
An integer representing the desired number of iterations,
Vector of lower bounds for the variables to be optimized over
(default: 0 with length model@d),
Vector of upper bounds for the variables to be optimized over
(default: 1 with length model@d),
Logical indicating the verbosity of the routine,
An optional list of control parameters that controls the optimization algorithm. One can control:
popsize(default: 200);
generations(default: 30);
cdist(default: 1/model@d);
mprob(default: 15);
mdist(default: 20).
An optional list of control parameters to the
mkm function (default: object@control).