irace implements iterated Race. It receives some parameters to be tuned
and returns the best configurations found, namely, the elite configurations
obtained from the last iterations (and sorted by rank).
irace executes the tuning procedure using
the information provided in
parameters. Initially it checks
the correctness of
scenario and recovers a previous execution if
scenario$recoveryFile is set. A R data file log of the execution is created
A data frame with the set of best algorithm configurations found by irace. The data frame has the following columns:
.ID. : Internal id of the candidate configuration.
Parameter names : One column per parameter name in
.PARENT. : Internal id of the parent candidate configuration.
Additionally, this function saves an R data file containing an object called
iraceResults. The path of the file is indicated in
iraceResults object is a list with the following structure:
The scenario R object containing the irace
options used for the execution. See
for more information.
The parameters R object containing the
description of the target algorithm parameters. See
The target algorithm configurations
generated by irace. This object is a data frame, each row is a
candidate configuration, the first column (
.ID.) indicates the
internal identifier of the configuration, the following columns
correspond to the parameter values, each column named as the parameter
name specified in the parameter object. The final column
.PARENT.) is the identifier of the configuration from which
model the actual configuration was sampled.
A list that contains one element per iteration,
each element contains the internal identifier of the elite candidate
configurations of the corresponding iteration (identifiers correspond to
A vector containing the best candidate configuration internal identifier of each iteration. The best configuration found corresponds to the last one of this vector.
A matrix with configurations as columns and
instances as rows. Column names correspond to the internal identifier of
the configuration (
A matrix with columns
time. This matrix contains the log of all the
experiments that irace performs during its execution. The
instance column refers to the index of the
data frame. Time is saved ONLY when reported by the
A logical vector that indicates if a soft
restart was performed on each iteration. If
FALSE, then no soft
restart was performed.
A list that contains the state of irace, the recovery is done using the information contained in this object.
A list that contains the testing results. The
elements of this list are:
experiments a matrix with the testing
experiments of the selected configurations in the same format as the
explained above and
seeds a vector with the seeds used to execute
Manuel López-Ibáñez and Jérémie Dubois-Lacoste
a higher-level command-line interface to
for reading a configuration scenario from a file.
read the target algorithm parameters from a file.
returns the default scenario settings of irace.
to check that the scenario is valid.
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