R: Evolutionary Computation in R

# Evolutionary Computation in R

## Documentation for package ‘ecr’ version 2.1.1

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

A C D E F G I M N P R S T U W misc

## -- 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.