Description Usage Arguments Value Examples
Given an object of class mkm
and a set of tuning parameters,
max_EHVI performs the maximization of the Expected Hypervolume Improvement
criterion and delivers the next point to be visited in an HEGO-like
procedure.
1 2 |
model |
An object of class |
lower |
Vector of lower bounds for the variables to be optimized over
(default: 0 with length |
upper |
Vector of upper bounds for the variables to be optimized over
(default: 1 with length |
control |
An optional list of control parameters, some of them passed to
the
|
optimcontrol |
Optional list of control parameters passed to the
|
A list with components:
par
The best set of parameters found.
value
The value of expected hypervolume improvement at par.
1 2 3 4 5 6 7 8 9 | # ------------------------
# The Nowacki Beam
# ------------------------
n <- 20
d <- 2
doe <- replicate(d,sample(0:n,n))/n
res <- t(apply(doe, 1, nowacki_beam, box = data.frame(b = c(10, 50), h = c(50, 250))))
model <- mkm(doe, res, modelcontrol = list(objective = 1:2, lower=c(0.1,0.1)))
max_EHVI(model)
|
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