Genetic Population Level Functions
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Documentation for package ‘xegaPopulation’ version 1.0.0.0
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| 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. |