Man pages for jakobbossek/ecr
Evolutionary Computing in R

asemoa	Implementation of the NSGA-II EMOA algorithm by Deb.
autoplot.ecr_single_objective_result	Plot optimization trace.
buildInitialPopulation	Helper function to build initial population.
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.
computeGenerationalDistance	Computes Generational Distance.
computeInvertedGenerationalDistance	Computes Inverted Generational Distance.
dominated	Check for pareto dominance.
dominated_hypervolume	Functions for the calculation of the dominated hypervolume...
dominates	Dominance relation check.
doNondominatedSorting	Fast non-dominated sorting algorithm.
doTheEvolution	Working horse of the ecr package.
ecr	Interface to 'ecr' similar to the 'optim' function.
ecrpackage	ecr: Evolutionary Computing in R
ecr_parallelization	Parallelization in ecr
ecr_result	Result object.
emoa_indicators	Computation of the unary epsilon-indicator.
evaluateFitness	Computes the fitness values for each member of a given...
evolutionary_setters	Collection of functions to set specific evolutionay...
generateOffspring	Creates offspring from a given mating pool of parents.
getAvailableEventNames	Receive a character vector of all valid event names.
getEvaluations	Get number of function evaluations.
getGenerations	Get number of generations.
getNextGeneration	Performs survival selection.
getOperatorName	Get name of a operator.
getOperatorParameters	Get the operator's parameters.
getSupportedRepresentations	Get supported representations.
isEcrOperator	Check if given function is an ecr operator.
is.supported	Check if ecr operator supports given representation.
makeGenerator	Construct a generator.
makeMonitor	Factory method for monitor objects.
makeMutator	Construct a mutation operator.
makeOperator	Construct evolutionary operator.
makeOptimizationTask	Creates an optimization task.
makePopulation	Generate a population.
makeRecombinator	Construct a recombination operator.
makeSelector	Construct a selection operator.
makeTerminator	Generate stopping condition.
mergePopulations	Merge populations.
normalizeFront	Normalize points of a set.
nsga2	Implementation of the NSGA-II EMOA algorithm by Deb.
onePlusOneGA	Simple (1 + 1) Genetic Algorithm.
OptState	Optimization state.
OptStateGetter	Optimization state getter functions.
print.ecr_control	Print ecr control object.
reference_point_approximation	Reference point approximations.
registerAction	Register an action.
rescalePoints	Rescaling of points.
selectForMating	Generate mating pool.
selectForSurvival	Generate mating pool.
setupBinaryGenerator	Generates a generator object for the initial population.
setupBitFlipMutator	Generator of the Bitplip mutation operator.
setupCloseToOptimumTerminator	Stopping condition: close to optimum.
setupConsoleMonitor	Simple stdout monitoring function.
setupCrossoverRecombinator	Generator of the one-point crossover recombination operator.
setupDominatedHypervolumeSelector	Dominated hypervolume selector.
setupECRControl	Generates control object.
setupEvolutionaryOperators	Enhance control object with evolutionary operators.
setupGaussMutator	Generator of the Gaussian mutation operator.
setupGreedySelector	Simple "greedy" selector.
setupInsertionMutator	Generator for the Insertion mutation operator.
setupIntermediateRecombinator	Generator of the indermediate recombination operator.
setupInversionMutator	Generator for the Inversion mutation operator.
setupMaximumEvaluationsTerminator	Stopping condition: maximum number of function evaluations.
setupMaximumIterationsTerminator	Stopping condition: maximum number of iterations.
setupMaximumTimeTerminator	Stopping condition: time limit.
setupNondomSelector	Non-dominated sorting selector.
setupNullRecombinator	Generator of the "null" recombination operator.
setupOptPathLoggingMonitor	Logging monitor.
setupOptState	Generate an optimization state object.
setupOXRecombinator	Generator of the Ordered-Crossover (OX) recombination...
setupPermutationGenerator	Generates a generator object for the initial population.
setupPMXRecombinator	Generator of the Partially-Mapped-Crossover (PMX)...
setupPolynomialMutator	Generator of the polynomial mutation operator.
setupRouletteWheelSelector	Generator for Roulette-Wheel-Selection (fitness-proportional...
setupSBXRecombinator	Generator of the Simulated Binary Crossover (SBX)...
setupScrambleMutator	Generator for the Scramble mutation operator.
setupSimpleSelector	Simple (naive) mating pool generator.
setupSwapMutator	Generator for the Swap mutation operator.
setupTerminators	Generator for some frequently used stopping conditions.
setupTournamentSelector	Generator for k-Tournament selection.
setupUniformGenerator	Generates the uniform generator object for the initial...
setupUniformMutator	Generator of the Uniform mutation operator.
simpleEA	Simple (mu + lambda) EA implementation.
smsemoa	Implementation of the SMS-EMOA by Emmerich et al.
summary.ecr_multi_objective_result	Summary function for multi objective ecr result.
updateOptState	Update optimization state.
which.dominated	Determine which points of a set are (non)dominated.
wrapChildren	Wrap the individuals constructed by a recombination operator.