com.numericalmethod.suanshu.optimization.geneticalgorithm

Interface Chromosome

All Superinterfaces:

java.lang.Comparable<Chromosome>, java.io.Serializable

All Known Implementing Classes:

Best2Bin.DeBest2BinCell, ConstrainedCellFactory.ConstrainedCell, DEOptimCellFactory.DeOptimCell, LocalSearchCellFactory.LocalSearchCell, Rand1Bin.DeRand1BinCell, RealScalarFunctionChromosome, SimpleCellFactory.SimpleCell

public interface Chromosome
extends java.lang.Comparable<Chromosome>, java.io.Serializable

A chromosome is a representation of a solution to an optimization problem. A genetic algorithm creates new chromosomes from existing ones by taking parts and combine them in new ways. As a genetic algorithm usually runs in a multi-core environment for performance, it is important to ensure that an implementation of the chromosome operations are thread-safe and can run in parallel.

Method Summary

Modifier and Type	Method and Description
Chromosome	crossover(Chromosome that) Construct a Chromosome by crossing over a pair of chromosomes.
double	fitness() This is the fitness to determine how good this chromosome is.
Chromosome	mutate() Construct a Chromosome by mutation.

Methods inherited from interface java.lang.Comparable

compareTo

Method Detail

fitness

double fitness()

This is the fitness to determine how good this chromosome is.

Returns:

the fitness

mutate

Chromosome mutate()

Construct a Chromosome by mutation.

Returns:

a mutated chromosome

crossover

Chromosome crossover(Chromosome that)

Construct a Chromosome by crossing over a pair of chromosomes.

Parameters:

that - another chromosome

Returns:

a crossed over chromosome