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Packages that use GeneticAlgorithm | |
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org.biojavax.ga | Classes to provide a genetic algorithm framework |
org.biojavax.ga.functions | GA functions |
org.biojavax.ga.impl | Default implementations and abstract classes. |
Uses of GeneticAlgorithm in org.biojavax.ga |
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Methods in org.biojavax.ga with parameters of type GeneticAlgorithm | |
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boolean |
GAStoppingCriteria.stop(GeneticAlgorithm ga)
Determines if an Algorithm should stop spawning new generations |
boolean |
GAStoppingCriteria.MaximumGeneration.stop(GeneticAlgorithm ga)
Stops the Algorithm if the iterations are >= maxGenerations |
Uses of GeneticAlgorithm in org.biojavax.ga.functions |
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Methods in org.biojavax.ga.functions with parameters of type GeneticAlgorithm | |
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double[] |
FitnessFunction.fitness(Organism org,
Population pop,
GeneticAlgorithm genAlg)
Calculates the fitness of org . |
Population |
TournamentSelection.select(Population pop,
GeneticAlgorithm genAlg)
Standard call to select organisms, will select a number of Organisms corresponding to 75 % of the population. |
Population |
SelectionFunction.select(Population pop,
GeneticAlgorithm genAlg)
Selects a Population of Organisms for
replication based on their fitness. |
Population |
SelectionFunction.Threshold.select(Population pop,
GeneticAlgorithm genAlg)
Selects individuals whose fitness (as determined by the FitnessFunction ) is more than the cutoff. |
Population |
SelectionFunction.SelectAll.select(Population pop,
GeneticAlgorithm genAlg)
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Population |
ProportionalSelection.select(Population pop,
GeneticAlgorithm genAlg)
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Population |
TournamentSelection.selectNIndividuals(Population pop,
GeneticAlgorithm ga,
int n)
This method selects n Organism from the population it is given, using the tournament selection method |
Uses of GeneticAlgorithm in org.biojavax.ga.impl |
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Classes in org.biojavax.ga.impl that implement GeneticAlgorithm | |
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class |
AbstractGeneticAlgorithm
Base class from which most implementations of GeneticAlgorithm will inherit. |
class |
SimpleGeneticAlgorithm
A simple implementation of the GeneticAlgorithm interface it
is not intended that this class be overidden, hence it is final. |
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