Uses of Interface
org.generation5.bio.Evolvable

Packages that use Evolvable

org.generation5.bio	Bio-inspired classes including cellular automata, swarm intelligence and genetic algorithms.
org.generation5.demos	A series of demonstration classes that showcase the core SDK features.
org.generation5.nn	Neural network example classes including Kohonen, Perceptron and Feedforward networks.

Uses of Evolvable in org.generation5.bio

Classes in org.generation5.bio that implement Evolvable

class

EvolveStandard EvolveStandard implements the Evolvable interface and provides default behaviour for fitness values, as well as providing the necessary Comparable implementation for sorting in both ascending and descending order.

Fields in org.generation5.bio declared as Evolvable

protected Evolvable[][]

GeneticAlgorithm.population The population to evolve.

Methods in org.generation5.bio that return Evolvable

Evolvable[]	GeneticAlgorithm.getCurrentPopulation() Return the current population (double-buffering taken into account).
protected Evolvable[]	GeneticAlgorithm.inPopulation() The current population
protected Evolvable[]	GeneticAlgorithm.outPopulation() The new population.
Evolvable	GeneticAlgorithm.getBest() Retrieves the best Evolvable in the population.
Evolvable	Evolvable.mate(Evolvable partner) Mate with another Evolvable type.
abstract Evolvable	EvolveStandard.mate(Evolvable partner) Abstract function to mate with another object to produce an offspring for the next generation.

Methods in org.generation5.bio with parameters of type Evolvable

void	GeneticAlgorithm.setPopulation(Evolvable[] thisPopulation) Set the population to an initial array of Evolvables.
Evolvable	Evolvable.mate(Evolvable partner) Mate with another Evolvable type.
abstract Evolvable	EvolveStandard.mate(Evolvable partner) Abstract function to mate with another object to produce an offspring for the next generation.

Constructors in org.generation5.bio with parameters of type Evolvable

GeneticAlgorithm(Evolvable[] population)
Create a instance of the genetic algorithm with an initial population.

Uses of Evolvable in org.generation5.demos

Classes in org.generation5.demos that implement Evolvable

class	EvoDiophantine EvoDiophantine is an example of a genetic algorithm solving a diophantine equation.
class	EvoHelloWorld Attempts to evolve a target string, defaulting to "Hello World!".
class	EvoTravellingSalesman This class implements a simple evolvable solution to the travelling salesman problem.

Methods in org.generation5.demos that return Evolvable

Evolvable	EvoTravellingSalesman.mate(Evolvable partner) Mate two routes together.
Evolvable	EvoHelloWorld.mate(Evolvable partner) Mate two strings with a simple one-point crossover.
Evolvable	EvoDiophantine.mate(Evolvable partner) One-point crossover of the equation values.

Methods in org.generation5.demos with parameters of type Evolvable

Evolvable	EvoTravellingSalesman.mate(Evolvable partner) Mate two routes together.
Evolvable	EvoHelloWorld.mate(Evolvable partner) Mate two strings with a simple one-point crossover.
Evolvable	EvoDiophantine.mate(Evolvable partner) One-point crossover of the equation values.

Uses of Evolvable in org.generation5.nn

Classes in org.generation5.nn that implement Evolvable

class

EvoFeedForwardNN This class implements an evolutionary feedforward network.

Methods in org.generation5.nn that return Evolvable

Evolvable

EvoFeedForwardNN.mate(Evolvable partner) Mate with another network.

Methods in org.generation5.nn with parameters of type Evolvable

Evolvable

EvoFeedForwardNN.mate(Evolvable partner) Mate with another network.