Function reference
-
MetaepochSnapshot-class
- A S4 class representing a snapshot of one metaepoch.
-
calculate_ela_features()
- Calculate selected ELA features for given fitness.
-
classify_optimization_problem()
- Classify optimization problem using selected ELA features and Random Forest model trained on BBOB dataset.
-
cma_es_metaepoch()
- Function that runs one cmaes metaepoch. Wrapper function for cmaes::cma_es.
-
default_run_gradient_method()
- Function that runs gradient method for one deme. Wrapper function for stats::optim.
-
deoptim_cma_es_metaepoch()
- Function that generates run_metaepoch function for two level HMS. First level: DE, second level: CMA-ES.
-
deoptim_metaepoch()
- Function that runs one differential evolution metaepoch. Wrapper function for DEoptim::DEoptim.
-
ecr_metaepoch()
- Function that runs one ecr metaepoch. Wrapper function for ecr::ecr.
-
euclidean_distance()
- Euclidean distance
-
ga_cma_es_metaepoch()
- Function that generates run_metaepoch function for two level HMS. First level: GA, second level: CMA-ES.
-
ga_metaepoch()
- Function that runs one GA metaepoch. Wrapper function for GA::ga.
-
gsc_max_fitness_evaluations()
- Factory function for a global stopping condition that stops the computation after fitness function has been evaluated given number of times.
-
gsc_metaepochs_count()
- Factory function for a global stopping condition that stops the computation after given number of metaepochs.
-
gsc_trivial()
- Factory function for a global stopping condition that never stops the computation. It results in hms running until there are no more active demes.
-
hms-class
- A S4 class representing a result of hms.
-
hms()
- Maximization (or minimization) of a fitness function using Hierarchic Memetic Strategy.
-
lsc_max_fitness_evaluations()
- Factory function for a local stopping condition that stops a deme after given number of fitness function evaluations has been made in that deme.
-
lsc_metaepochs_without_active_child()
- Factory function for a local stopping condition that stops a deme after given number of metaepochs have past since last metaepoch during which this deme had an active child.
-
lsc_metaepochs_without_improvement()
- Factory function for a local stopping condition that stops a deme after given number of consecutive metaeopochs without an improvement of the best solution found in that deme.
-
lsc_trivial()
- Factory function for a trivial local stopping condition that lets a deme be active forever. It is usually used in the root of a hms tree.
-
manhattan_distance()
- Manhattan distance
-
plot(<hms>)
- Plot method for "hms" class.
-
plotActiveDemes(<hms>)
- plotActiveDemes method for "hms" class.
-
plotActiveDemes()
- plotActiveDemes method for "hms" class.
-
plotPopulation(<hms>)
- plotPopulation method for "hms" class.
-
plotPopulation()
- plotPopulation method for "hms" class.
-
print(<hms>)
- Print method for class "hms".
-
printBlockedSprouts(<hms>)
- printBlockedSprouts method for "hms" class.
-
printBlockedSprouts()
- printBlockedSprouts method for "hms" class.
-
printTree(<hms>)
- printTree method for class "hms".
-
printTree()
- printTree method for class "hms".
-
rtnorm_mutation()
- Factory function that creates normal mutation function
-
saveMetaepochsPopulations(<hms>)
- saveMetaepochsPopulations
-
saveMetaepochsPopulations()
- saveMetaepochsPopulations method for "hms" class.
-
sc_max_metric()
- Default sprouting condition based on given metric.
-
show(<hms>)
- Show method for class "hms".
-
summary(<hms>)
- Summary method for class "hms".
-
train_random_forest_model()
- Train Random Forest model on BBOB dataset (data/ela_features.rda).