lib.easyjava.ml.optimization.ga

Interface GeneticAlgorithmSolution

public interface GeneticAlgorithmSolution

A structured solution which will be optimized by GeneticAlgorithmOptimizer. Solutions can be made up of nearly anything, so long as this interface is met.

Author:

Rob Rua (robrua@alumni.cmu.edu)

Method Summary

Modifier and Type	Method and Description
GeneticAlgorithmSolution	crossover(GeneticAlgorithmSolution mate) Combines traits of this solution with another to create an entirely new one.
GeneticAlgorithmSolution	deepCopy() Creates a deep copy of this solution.
long	fitness() Evaluates the fitness score of the solution based on its traits.
void	mutate() Mutates the solution somehow, ideally randomly, changing some trait(s) in some way.

Method Detail

crossover

GeneticAlgorithmSolution crossover(GeneticAlgorithmSolution mate)

Combines traits of this solution with another to create an entirely new one.

Parameters:

mate - the solution with which this will combine traits

Returns:

a new solution which has somehow combined the traits of the two parent solutions

deepCopy

GeneticAlgorithmSolution deepCopy()

Creates a deep copy of this solution.

Returns:

a deep copy of the solution

fitness

long fitness()

Evaluates the fitness score of the solution based on its traits. Higher scores should be returned by better solutions.

Returns:

the fitness score for this solution

mutate

void mutate()

Mutates the solution somehow, ideally randomly, changing some trait(s) in some way.