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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
).