Asynchronous Optimization via Random Search
Source:R/OptimizerAsyncRandomSearch.R
mlr_optimizers_async_random_search.RdOptimizerAsyncRandomSearch class that implements a simple Random Search.
Source
Bergstra J, Bengio Y (2012). “Random Search for Hyper-Parameter Optimization.” Journal of Machine Learning Research, 13(10), 281–305. https://jmlr.csail.mit.edu/papers/v13/bergstra12a.html.
Dictionary
This Optimizer can be instantiated via the dictionary
mlr_optimizers or with the associated sugar function opt():
Super classes
Optimizer -> OptimizerAsync -> OptimizerAsyncRandomSearch
Methods
Inherited methods
Examples
# example only runs if a Redis server is available
if (mlr3misc::require_namespaces(c("rush", "redux", "mirai"), quietly = TRUE) &&
redux::redis_available()) {
# define the objective function
fun = function(xs) {
list(y = - (xs[[1]] - 2)^2 - (xs[[2]] + 3)^2 + 10)
}
# set domain
domain = ps(
x1 = p_dbl(-10, 10),
x2 = p_dbl(-5, 5)
)
# set codomain
codomain = ps(
y = p_dbl(tags = "maximize")
)
# create objective
objective = ObjectiveRFun$new(
fun = fun,
domain = domain,
codomain = codomain,
properties = "deterministic"
)
# start workers
rush::rush_plan(worker_type = "mirai")
mirai::daemons(1)
# initialize instance
instance = oi_async(
objective = objective,
terminator = trm("evals", n_evals = 20)
)
# load optimizer
optimizer = opt("async_random_search")
# trigger optimization
optimizer$optimize(instance)
# all evaluated configurations
instance$archive
# best performing configuration
instance$archive$best()
# covert to data.table
as.data.table(instance$archive)
}
#> state x1 x2 y timestamp_xs
#> <char> <num> <num> <num> <POSc>
#> 1: finished -2.11085866 3.149893 -44.720348 2026-06-27 12:47:09
#> 2: finished -8.33732121 3.178398 -135.032815 2026-06-27 12:47:09
#> 3: finished -7.78396197 2.105379 -111.790803 2026-06-27 12:47:09
#> 4: finished 5.92632791 -4.231512 -6.932672 2026-06-27 12:47:09
#> 5: finished 0.98995613 2.678818 -23.269168 2026-06-27 12:47:09
#> 6: finished -3.50214144 1.111543 -37.178342 2026-06-27 12:47:09
#> 7: finished 2.77985531 4.933030 -53.541141 2026-06-27 12:47:09
#> 8: finished 9.86020590 0.052479 -61.100465 2026-06-27 12:47:09
#> 9: finished -4.77089430 4.984108 -99.590989 2026-06-27 12:47:09
#> 10: finished 8.62827623 3.264048 -73.172348 2026-06-27 12:47:09
#> 11: finished 5.20608164 -2.035465 -1.209287 2026-06-27 12:47:09
#> 12: finished -0.97588025 1.013553 -14.964468 2026-06-27 12:47:09
#> 13: finished -9.42569878 0.916582 -135.886207 2026-06-27 12:47:09
#> 14: finished 0.07085662 3.202987 -32.198639 2026-06-27 12:47:09
#> 15: finished -6.61173459 1.705343 -86.302224 2026-06-27 12:47:09
#> 16: finished 8.34573561 3.714461 -75.352353 2026-06-27 12:47:09
#> 17: finished -8.96971468 -3.263809 -110.404235 2026-06-27 12:47:10
#> 18: finished 1.89838435 2.698046 -22.478057 2026-06-27 12:47:10
#> 19: finished -2.71425870 1.813992 -35.398750 2026-06-27 12:47:10
#> 20: finished 1.30114551 -4.177370 8.125403 2026-06-27 12:47:10
#> state x1 x2 y timestamp_xs
#> <char> <num> <num> <num> <POSc>
#> worker_id timestamp_ys
#> <char> <POSc>
#> 1: narrow_xinjiangovenator 2026-06-27 12:47:09
#> 2: narrow_xinjiangovenator 2026-06-27 12:47:09
#> 3: narrow_xinjiangovenator 2026-06-27 12:47:09
#> 4: narrow_xinjiangovenator 2026-06-27 12:47:09
#> 5: narrow_xinjiangovenator 2026-06-27 12:47:09
#> 6: narrow_xinjiangovenator 2026-06-27 12:47:09
#> 7: narrow_xinjiangovenator 2026-06-27 12:47:09
#> 8: narrow_xinjiangovenator 2026-06-27 12:47:09
#> 9: narrow_xinjiangovenator 2026-06-27 12:47:09
#> 10: narrow_xinjiangovenator 2026-06-27 12:47:09
#> 11: narrow_xinjiangovenator 2026-06-27 12:47:09
#> 12: narrow_xinjiangovenator 2026-06-27 12:47:09
#> 13: narrow_xinjiangovenator 2026-06-27 12:47:09
#> 14: narrow_xinjiangovenator 2026-06-27 12:47:09
#> 15: narrow_xinjiangovenator 2026-06-27 12:47:09
#> 16: narrow_xinjiangovenator 2026-06-27 12:47:09
#> 17: narrow_xinjiangovenator 2026-06-27 12:47:10
#> 18: narrow_xinjiangovenator 2026-06-27 12:47:10
#> 19: narrow_xinjiangovenator 2026-06-27 12:47:10
#> 20: narrow_xinjiangovenator 2026-06-27 12:47:10
#> worker_id timestamp_ys
#> <char> <POSc>
#> keys x_domain_x1 x_domain_x2
#> <char> <num> <num>
#> 1: 7a6b8b3c-3972-4175-9d17-37e6dad00696 -2.11085866 3.149893
#> 2: f34ab33b-b69e-443d-9c7f-f3b0b21b15e2 -8.33732121 3.178398
#> 3: 03790590-4034-4997-be7e-f31f08d95295 -7.78396197 2.105379
#> 4: 5f9e6bae-19a8-4a70-96b8-0b63cdefdec2 5.92632791 -4.231512
#> 5: e2407488-552f-4d82-9529-1f902e723ca9 0.98995613 2.678818
#> 6: 800cb534-a275-427d-ab24-c0bc64e1a9a0 -3.50214144 1.111543
#> 7: ac06b7a3-9e51-4b40-bf5d-ff0c5d9fdd46 2.77985531 4.933030
#> 8: 204ff69e-fa68-4b4d-8a08-3139c0f5fe57 9.86020590 0.052479
#> 9: 004a26af-6fcb-4bd0-b978-c418da265757 -4.77089430 4.984108
#> 10: c73d60f1-b6ed-4690-9d20-d85159a5909a 8.62827623 3.264048
#> 11: 73b23896-27dc-4808-a240-22d61ea0dc04 5.20608164 -2.035465
#> 12: c799db85-f5ce-407b-a0bc-e4974d2bfd98 -0.97588025 1.013553
#> 13: b0c9275f-303a-4ef8-ac2f-539342c4c0ed -9.42569878 0.916582
#> 14: af8b7a2b-8f8e-4bcf-ac5f-285934758491 0.07085662 3.202987
#> 15: 86968fea-4b5c-4e51-8044-7e561ec2e7e1 -6.61173459 1.705343
#> 16: 9cd60179-ad10-4b85-b52a-9d67dd8aa37a 8.34573561 3.714461
#> 17: 3d8d1ff2-773c-4942-b11f-ac1ad6287b40 -8.96971468 -3.263809
#> 18: 874765a5-17d2-4164-9404-9b55f70fef37 1.89838435 2.698046
#> 19: e37dec83-0093-44c7-b60e-49aad5b21475 -2.71425870 1.813992
#> 20: a4f1ef2f-5163-49c7-b7b6-a5fad243fe15 1.30114551 -4.177370
#> keys x_domain_x1 x_domain_x2
#> <char> <num> <num>