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. |
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'. |
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. |
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. |
ReplicateGene |
Import for examples. |
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 a problem environment |
xegaInitPopulation |
Initializes a population of genes. |
xegaLogEvalsPopulation |
Combine fitness, generations, and the phentype of the gene. |
xegaNextPopulation |
Computes the next population of genes. |
xegaObservePopulation |
Observe summary statistics of the fitness of the population. |
xegaPopulation |
Package xegaPopulation. |
xegaSummaryPopulation |
Provide elementary summary statistics of the fitness of the population. |