Uses of Interface
smile.gap.Chromosome

Packages that use Chromosome

Package	Description
smile.gap	Genetic algorithm and programming.

Uses of Chromosome in smile.gap

Classes in smile.gap with type parameters of type Chromosome

Modifier and Type	Interface and Description
interface	FitnessMeasure<T extends Chromosome> A measure to evaluate the fitness of chromosomes.
class	GeneticAlgorithm<T extends Chromosome> A genetic algorithm (GA) is a search heuristic that mimics the process of natural evolution.

Subinterfaces of Chromosome in smile.gap

Modifier and Type	Interface and Description
interface	LamarckianChromosome Artificial chromosomes used in Lamarckian algorithm that is a hybrid of of evolutionary computation and a local improver such as hill-climbing.

Classes in smile.gap that implement Chromosome

Modifier and Type	Class and Description
class	BitString The standard bit string representation of the solution domain.

Methods in smile.gap that return Chromosome

Modifier and Type	Method and Description
Chromosome[]	Chromosome.crossover(Chromosome another) Returns a pair of offsprings by crossovering this one with another one according to the crossover rate, which determines how often will be crossover performed.
Chromosome	Chromosome.newInstance() Returns a new random instance.
T[]	GeneticAlgorithm.population() Returns the population of current generation.

Methods in smile.gap with parameters of type Chromosome

Modifier and Type	Method and Description
int	BitString.compareTo(Chromosome o)
Chromosome[]	Chromosome.crossover(Chromosome another) Returns a pair of offsprings by crossovering this one with another one according to the crossover rate, which determines how often will be crossover performed.
BitString[]	BitString.crossover(Chromosome another)

Constructors in smile.gap with parameters of type Chromosome

Constructor and Description
GeneticAlgorithm(T[] seeds) Constructor.
GeneticAlgorithm(T[] seeds, GeneticAlgorithm.Selection selection) Constructor.