Genetic Population Level Functions

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Documentation for package ‘xegaPopulation’ version 1.0.0.7

• DESCRIPTION file.
• Package NEWS.

Help Pages

xegaPopulation-package	Package xegaPopulation.
AcceptBest	Accepts only genes with equal or better fitness.
AcceptFactory	Configure the acceptance function of a genetic algorithm.
AcceptIVMetropolis	Individually Adaptive Metropolis Acceptance Rule.
AcceptMetropolis	Metropolis Acceptance Rule.
AcceptNewGene	Accepts a new gene.
ApplyFactory	Configure the the execution model for gene evaluation.
checkTerminatedFalse	Check terminatedFalse()
checkTerminateError	Check terminateError()
checkTerminatePAC	Check terminatePAC()
checkTerminationFactory	Configure consistency checks and adapt 'penv' for terminationConditions.
ConstCRate	Constant crossover rate.
ConstMRate	Constant mutation rate.
CoolingFactory	Configure the cooling schedule of the acceptance function of a genetic algorithm.
Cross2Gene	Import for examples.
CrossGene	Import for examples.
CrossRateFactory	Configure the crossover function of a genetic algorithm.
ExponentialAdditiveCooling	Exponential additive cooling.
ExponentialMultiplicativeCooling	Exponential multiplicative cooling.
futureLapply	Future apply of R-package 'future.apply'.
futureLapplyHet	Future apply of R-package 'future.apply' configured for a tasks with heterogenous execution times.
IACRate	Individually adaptive crossover rate.
IAMBitRate	Individually adaptive mutation rate. (Bit mutation Rate)
IAMRate	Individually adaptive mutation rate.
InitGene	Import for examples.
lFxegaGaGene	Import for examples.
LogarithmicMultiplicativeCooling	Logarithmic multiplicative cooling.
MClapply	MultiCore apply of library parallel.
MClapplyHet	MultiCore apply of library parallel for heterogenous tasks.
MetropolisAcceptanceProbability	Metropolis acceptance probability.
MetropolisTable	Metropolis acceptance probability table.
MutationRateFactory	Configure the mutation rate function of a genetic algorithm.
PowerAdditiveCooling	Power additive cooling.
PowerMultiplicativeCooling	Power multiplicative cooling.
PparLapply	uses parLapply of library parallel for using workers on machines in a local network.
PparLapplyHet	uses parLapplyLB of library parallel for using workers on machines in a local network.
ReplicateGene	Import for examples.
terminateAbsoluteError	Terminates, if the absolute deviation from the global optimum is small.
terminatedFalse	No termination condition.
terminateGEQ	Terminates, if the solution is greater equal a threshold.
terminateLEQ	Terminates, if the solution is less equal a threshold.
terminatePAC	Terminates if relative deviation from estimated PAC bound for optimum is small. Works at 0.
terminateRelativeError	Terminates, if the relative deviation from the global optimum is small.
terminateRelativeErrorZero	Terminates if relative deviation from optimum is small. Works at 0.
TerminationFactory	Configure the termination condition(s) a genetic algorithm.
TrigonometricAdditiveCooling	Trigonometric additive cooling.
xegaBestGeneInPopulation	Extracts indices of best genes in population.
xegaBestInPopulation	Best solution in the population.
xegaConfiguration	Remembers R command command with which algorithm has been called.
xegaEvalPopulation	Evaluates a population of genes in a problem environment
xegaEvalPopulationFactory	Configures the evaluation of the population of a genetic algorithm.
xegaInitPopulation	Initializes a population of genes.
xegaLogEvalsPopulation	Combine fitness, generations, and the phenotype of the gene.
xegaNextPopulation	Computes the next population of genes.
xegaObservePopulation	Observe summary statistics of the fitness of the population.
xegaPopulation	Package xegaPopulation.
xegaRepEvalPopulation	Evaluates a population of genes in a a problem environment repeatedly.
xegaSummaryPopulation	Provide elementary summary statistics of the fitness of the population.