Uses of Interface
org.biojavax.ga.Population

Packages that use Population

Package	Description
org.biojavax.ga	Classes to provide a genetic algorithm framework
org.biojavax.ga.functions	GA functions A genetic algorithm requires a number of functions.
org.biojavax.ga.impl	Default implementations and abstract classes.

Uses of Population in org.biojavax.ga

Methods in org.biojavax.ga that return Population

Modifier and Type	Method and Description
Population	GeneticAlgorithm.getPopulation() The registered Population

Methods in org.biojavax.ga with parameters of type Population

Modifier and Type	Method and Description
void	Population.addOrganisms(Population orgs) Adds the residents of one population to this one
void	GeneticAlgorithm.setPopulation(Population pop) Sets the Population of Organisms to the Algorithm.

Uses of Population in org.biojavax.ga.functions

Methods in org.biojavax.ga.functions that return Population

Modifier and Type	Method and Description
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)
Population	ProportionalSelection.select(Population pop, GeneticAlgorithm genAlg)
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

Methods in org.biojavax.ga.functions with parameters of type Population

Modifier and Type	Method and Description
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)
Population	ProportionalSelection.select(Population pop, GeneticAlgorithm genAlg)
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 Population in org.biojavax.ga.impl

Classes in org.biojavax.ga.impl that implement Population

Modifier and Type	Class and Description
class	AbstractPopulation Most Population implementations will want to inherit from here.
class	SimplePopulation Simple concrete implementation of the Population interface Internally the SimplePopulation store Organisms in a HashMap

Fields in org.biojavax.ga.impl declared as Population

Modifier and Type	Field and Description
protected Population	AbstractGeneticAlgorithm.population

Methods in org.biojavax.ga.impl that return Population

Modifier and Type	Method and Description
Population	AbstractGeneticAlgorithm.getPopulation()

Methods in org.biojavax.ga.impl with parameters of type Population

Modifier and Type	Method and Description
void	AbstractPopulation.addOrganisms(Population orgs)
void	AbstractGeneticAlgorithm.setPopulation(Population pop)

Constructors in org.biojavax.ga.impl with parameters of type Population

Constructor and Description
SimpleGeneticAlgorithm(Population pop, MutationFunction mutFunc, CrossOverFunction xFunc, SelectionFunction selFunc)