mies_generation | R Documentation |
Gets the last generation that was evaluated as counted by the "dob"
column in the OptimInstance
's Archive
.
This accepts OptimInstance
s that were not evaluated with miesmuschel
and are therefore missing the "dob"
column, returning
a value of 0. However, if the "dob"
column is invalid (the inferred generation is not integer numeric or not non-negative), an error is thrown.
mies_generation(inst)
inst |
( |
a scalar integer value indicating the last generation that was evaluated in inst
. It is 0 when inst
is empty, and also typically 0 if all evaluations
in inst
so far were performed outside of miesmuschel
. Every call of mies_init_population
that actually performs evaluations, as well as each call to
mies_evaluate_offspring
with non-empty offspring
, increases the generation by 1.
library("bbotk")
lgr::threshold("warn")
# Define the objective to optimize
objective <- ObjectiveRFun$new(
fun = function(xs) {
z <- 10 - exp(-xs$x^2 - xs$y^2) + 2 * exp(-(2 - xs$x)^2 - (2 - xs$y)^2)
list(Obj = z)
},
domain = ps(x = p_dbl(-2, 4), y = p_dbl(-2, 4)),
codomain = ps(Obj = p_dbl(tags = "minimize"))
)
oi <- OptimInstanceSingleCrit$new(objective,
terminator = trm("evals", n_evals = 6)
)
op <- opt("mies",
lambda = 2, mu = 2,
mutator = mut("gauss", sdev = 0.1),
recombinator = rec("xounif"),
parent_selector = sel("best")
)
set.seed(1)
mies_generation(oi)
op$optimize(oi)
mies_generation(oi)
oi$terminator = trm("evals", n_evals = 10)
op$optimize(oi)
mies_generation(oi)
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