A B C D E F G I L M P R S T

G

Gene - Class in evolution

Gene

Gene(Object[], GeneToStringModel) - Constructor for class evolution.Gene

Creates a new instance of Gene

geneMutation(int) - Method in class evolution.BitChromosome

Mutant gene specified by genNumber.

geneMutation(int) - Method in class evolution.Chromosome

Mutant gene specified by genNumber.

geneMutation(int) - Method in interface evolution.ChromosomeModel

Mutant gene specified by genNumber.

generateNewPopulation() - Method in interface function.CrossFunctionModel

Starts Crossing Over

generateNewPopulation() - Method in class function.DefaultCrossFunctionModel

Starts Crossing Over

generateNewPopulation() - Method in interface function.ReproductionFunctionModel

Starts Reproduction

generateNewPopulation() - Method in class function.RouletteReproductionFunctionModel

Starts Reproduction according to roulette function

GeneToStringModel - Interface in evolution

Interface of function used to creat String representation of the Gene

getBestChromosome() - Method in class evolution.Population

Return reference to chromosome with best fitness function value

getBestChromosome(int) - Method in class function.LearningAlgorythm

Return best chromosome in interation

getBestChromosomeList() - Method in class function.LearningAlgorythm

Return ArrayList of best chromosome.

getChromosome(int) - Method in class evolution.Population

Return reference to chromosome specified by index

getChromosomeSize() - Method in class evolution.BitChromosome

Return size of the chromosome

getChromosomeSize() - Method in class evolution.Chromosome

Return size of the chromosome

getChromosomeSize() - Method in interface evolution.ChromosomeModel

Return size of the chromosome

getChromosomeSize() - Method in class evolution.Population

Return size of chromosome

getCrossFunctionModel() - Method in class function.LearningAlgorythm

Return reference to Cross Over Function

getCrossOverProbability() - Method in class evolution.BitChromosome

Return cross over propability

getCrossOverProbability() - Method in class evolution.Chromosome

Return cross over propability

getCrossOverProbability() - Method in interface evolution.ChromosomeModel

Return cross over propability

getCrossOverProbability() - Method in interface function.CrossFunctionModel

Return cross over propability

getCrossOverProbability() - Method in class function.DefaultCrossFunctionModel

Return cross over propability

getFitnessFunciton() - Method in class evolution.BitChromosome

Return reference to fitness function

getFitnessFunciton() - Method in class evolution.Chromosome

Return reference to fitness function

getFitnessFunciton() - Method in interface evolution.ChromosomeModel

Return reference to fitness function

getFitnessValue() - Method in class evolution.BitChromosome

Return fitness value of the chromosome

getFitnessValue() - Method in class evolution.Chromosome

Return fitness value of the chromosome

getFitnessValue() - Method in interface evolution.ChromosomeModel

Return fitness value of the chromosome

getGene(int) - Method in class evolution.BitChromosome

Return gene for with specified gene NUmber

getGene(int) - Method in class evolution.Chromosome

Return gene for with specified gene NUmber

getGene(int) - Method in interface evolution.ChromosomeModel

Return gene for with specified gene Number

getGeneTypes() - Method in class evolution.Gene

Return array of gene types

getGeneValue() - Method in class evolution.Gene

Return gene value

getMaxIteration() - Method in class function.LearningAlgorythm

Return number of iteration

getMutationProbability() - Method in class evolution.BitChromosome

Return mutation propability

getMutationProbability() - Method in class evolution.Chromosome

Return mutation propability

getMutationProbability() - Method in interface evolution.ChromosomeModel

Return mutation propability

getMutationProbability() - Method in class evolution.Gene

Return mutation propability

getNewPoplation() - Method in class function.LearningAlgorythm

Return reference to new population

getNewPopulation() - Method in interface function.CrossFunctionModel

Return population after Crossing Over

getNewPopulation() - Method in class function.DefaultCrossFunctionModel

Return population after Crossing Over

getNewPopulation() - Method in interface function.ReproductionFunctionModel

Return population after reproduction

getNewPopulation() - Method in class function.RouletteReproductionFunctionModel

Return population after reproduction

getNumberOfTypes() - Method in class evolution.Gene

Return number of gene types.

getOldPopulation() - Method in interface function.CrossFunctionModel

Return population before Crossing Over

getOldPopulation() - Method in class function.DefaultCrossFunctionModel

Return population before Crossing Over

getOldPopulation() - Method in class function.LearningAlgorythm

Return reference to populatoin before learning

getOldPopulation() - Method in interface function.ReproductionFunctionModel

Return population before reproduction

getOldPopulation() - Method in class function.RouletteReproductionFunctionModel

Return population before reproduction

getPopulationSize() - Method in class evolution.Population

Return population size

getReproductionFunctionModel() - Method in class function.LearningAlgorythm

Return reference to reproduction Function Model

getToStringFunction() - Method in class evolution.Gene

Return reference to function used for generating String representaion of the gene

getValue(ChromosomeModel) - Method in class function.BitFitnessFunction

Return fitness value for specified chromosome.

getValue(ChromosomeModel) - Method in interface function.FitnessFunctionModel

Return value of fitness function for specified chromosome