Evolutionary Computation in R

Documentation for package ‘ecr’ version 2.1.1

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-- A --

addAllGroup	Grouping helpers
addUnionGroup	Grouping helpers
approximateIdealPoint	Reference point approximations.
approximateNadirPoint	Reference point approximations.
approximateRefPoints	Helper function to estimate reference points.
approximateRefSets	Helper function to estimate reference set(s).
asemoa	Implementation of the NSGA-II EMOA algorithm by Deb.

-- C --

categorize	Assign group membership based on another group membership.
computeAverageHausdorffDistance	Average Hausdorff Distance computation.
computeCrowdingDistance	Compute the crowding distance of a set of points.
computeDistanceFromPointToSetOfPoints	Computes distance between a single point and set of points.
computeDominanceRanking	Ranking of approximation sets.
computeGenerationalDistance	Computes Generational Distance.
computeHV	Functions for the calculation of the dominated hypervolume (contribution).
computeHVContr	Functions for the calculation of the dominated hypervolume (contribution).
computeIndicators	Computation of EMOA performance indicators.
computeInvertedGenerationalDistance	Computes Inverted Generational Distance.

-- D --

dominated	Check for pareto dominance.
dominates	Dominance relation check.
doNondominatedSorting	Fast non-dominated sorting algorithm.

-- E --

ecr	Interface to ecr similar to the optim function.
ecr_parallelization	Parallelization in ecr
ecr_result	Result object.
emoaIndC	EMOA performance indicators
emoaIndDelta	EMOA performance indicators
emoaIndDeltap	EMOA performance indicators
emoaIndEps	EMOA performance indicators
emoaIndGD	EMOA performance indicators
emoaIndHV	EMOA performance indicators
emoaIndIGD	EMOA performance indicators
emoaIndM1	EMOA performance indicators
emoaIndMD	EMOA performance indicators
emoaIndONVG	EMOA performance indicators
emoaIndR1	EMOA performance indicators
emoaIndR2	EMOA performance indicators
emoaIndR3	EMOA performance indicators
emoaIndSP	EMOA performance indicators
evaluateFitness	Computes the fitness value(s) for each individual of a given set.
explode	Explode/implode data frame column(s).

-- F --

filterDuplicated	Filter approximation sets by duplicate objective vectors.
filterDuplicated.data.frame	Filter approximation sets by duplicate objective vectors.
filterDuplicated.ecr_multi_objective_result	Filter approximation sets by duplicate objective vectors.
filterDuplicated.list	Filter approximation sets by duplicate objective vectors.
filterDuplicated.matrix	Filter approximation sets by duplicate objective vectors.

-- G --

gen	Population generators
genBin	Population generators
generateOffspring	Helper functions for offspring generation
generatesMultipleChildren	Does the recombinator generate multiple children?
generators	Population generators
genPerm	Population generators
genReal	Population generators
getFront	Extract fitness values from Pareto archive.
getIndividuals	Extract individuals from Pareto archive.
getNumberOfChildren	Number of children
getNumberOfParentsNeededForMating	Number of parents needed for mating
getPopulationFitness	Access to logged population fitness.
getPopulations	Access to logged populations.
getSize	Get size of Pareto-archive.
getStatistics	Access the logged statistics.
getSupportedRepresentations	Get supported representations.

-- I --

implode	Explode/implode data frame column(s).
initECRControl	Control object generator.
initLogger	Initialize a log object.
initParetoArchive	Initialize Pareto Archive.
initPopulation	Helper function to build initial population.
is.supported	Check if ecr operator supports given representation.
isDominated	Dominance relation check.
isEcrOperator	Check if given function is an ecr operator.
isMaximallyDominated	Determine which points of a set are (non)dominated.

-- M --

makeECRMonitor	Factory method for monitor objects.
makeEMOAIndicator	Constructor for EMOA indicators.
makeMutator	Construct a mutation operator.
makeOperator	Construct evolutionary operator.
makeOptimizationTask	Creates an optimization task.
makeRecombinator	Construct a recombination operator.
makeSelector	Construct a selection operator.
makeTerminator	Generate stopping condition.
mcMST	mcMST
mutate	Helper functions for offspring generation
mutBitflip	Bitplip mutator.
mutGauss	Gaussian mutator.
mutInsertion	Insertion mutator.
mutInversion	Inversion mutator.
mutJump	Jump mutator.
mutPolynomial	Polynomial mutation.
mutScramble	Scramble mutator.
mutSwap	Swap mutator.
mutUniform	Uniform mutator.

-- N --

niceCellFormater	Formatter for table cells of LaTeX tables.
nondominated	Check for pareto dominance.
normalize	Normalize approximations set(s).
nsga2	Implementation of the NSGA-II EMOA algorithm by Deb.

-- P --

plotDistribution	Plot distribution of EMOA indicators.
plotFront	Draw scatterplot of Pareto-front approximation
plotHeatmap	Plot heatmap.
plotScatter2d	Visualize bi-objective Pareto-front approximations.
plotScatter3d	Visualize three-objective Pareto-front approximations.
plotStatistics	Generate line plot of logged statistics.

-- R --

recCrossover	One-point crossover recombinator.
recIntermediate	Indermediate recombinator.
recombinate	Helper functions for offspring generation
recOX	Ordered-Crossover (OX) recombinator.
recPMX	Partially-Mapped-Crossover (PMX) recombinator.
recSBX	Simulated Binary Crossover (SBX) recombinator.
recUnifCrossover	Uniform crossover recombinator.
reduceToSingleDataFrame	Combine multiple data frames into a single data.frame.
registerECROperator	Register operators to control object.
replace	(mu + lambda) selection
replaceMuCommaLambda	(mu + lambda) selection
replaceMuPlusLambda	(mu + lambda) selection

-- S --

selDomHV	Dominated Hypervolume selector.
select	Select individuals.
selectForMating	Select individuals.
selectForSurvival	Select individuals.
selGreedy	Simple selector.
selNondom	Non-dominated sorting selector.
selRanking	Rank Selection Operator
selRoulette	Roulette-wheel / fitness-proportional selector.
selSimple	Simple (naive) selector.
selTournament	k-Tournament selector.
setDominates	Check if one set is better than another.
setup	Set up parameters for evolutionary operator.
setupECRDefaultMonitor	Default monitor.
smsemoa	Implementation of the SMS-EMOA by Emmerich et al.
sortByObjective	Sort Pareto-front approximation by objective.
sortByObjective.data.frame	Sort Pareto-front approximation by objective.
sortByObjective.ecr_multi_objective_result	Sort Pareto-front approximation by objective.
sortByObjective.list	Sort Pareto-front approximation by objective.
sortByObjective.matrix	Sort Pareto-front approximation by objective.
stopOnEvals	Stopping conditions
stopOnIters	Stopping conditions
stopOnMaxTime	Stopping conditions
stopOnOptY	Stopping conditions
stoppingConditions	Stopping conditions

-- T --

toGG	Transform to long format.
toLatex	Export results of statistical tests to LaTeX table(s).
toLatex.data.frame	Export results of statistical tests to LaTeX table(s).
toLatex.list	Export results of statistical tests to LaTeX table(s).
toParetoDf	Convert matrix to Pareto front data frame.
transformFitness	Fitness transformation / scaling.

-- U --

updateLogger	Update the log.
updateParetoArchive	Update Pareto Archive.

-- W --

which.dominated	Determine which points of a set are (non)dominated.
which.nondominated	Determine which points of a set are (non)dominated.
wrapChildren	Wrap the individuals constructed by a recombination operator.

-- misc --

%dominates%	Dominance relation check.
%isDominatedBy%	Dominance relation check.