Uses of Interface
org.biojavax.ga.functions.CrossOverFunction

Packages that use CrossOverFunction

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 CrossOverFunction in org.biojavax.ga

Methods in org.biojavax.ga that return CrossOverFunction

Modifier and Type	Method and Description
CrossOverFunction	GeneticAlgorithm.getCrossOverFunction()

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

Modifier and Type	Method and Description
void	GeneticAlgorithm.setCrossOverFunction(CrossOverFunction function) Changes the CrossOverFunction used to CrossOver Chromosomes

Uses of CrossOverFunction in org.biojavax.ga.functions

Classes in org.biojavax.ga.functions that implement CrossOverFunction

Modifier and Type	Class and Description
class	AbstractCrossOverFunction Abstract implementation of CrossOverFunction.
static class	CrossOverFunction.NoCross A place holder CrossOverFunction that doesn't perform cross overs
class	OrderCrossover This does a 2-point-crossover on two chromosomes keeping the Symbols in each chromosome constant.
class	SimpleCrossOverFunction Simple Implementation of the CrossOverFunction interface

Fields in org.biojavax.ga.functions declared as CrossOverFunction

Modifier and Type	Field and Description
static CrossOverFunction	CrossOverFunction.NO_CROSS

Uses of CrossOverFunction in org.biojavax.ga.impl

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

Modifier and Type	Method and Description
CrossOverFunction	AbstractGeneticAlgorithm.getCrossOverFunction()

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

Modifier and Type	Method and Description
void	AbstractGeneticAlgorithm.setCrossOverFunction(CrossOverFunction function)

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

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