Package de.sfuhrm.genetic

Class AbstractHypothesis<T extends AbstractHypothesis>

java.lang.Object

de.sfuhrm.genetic.AbstractHypothesis<T>

Type Parameters:

T - the parameter needs to have the concrete type of the hypothesis class for the methods to return the correct subtype.

public abstract class AbstractHypothesis<T extends AbstractHypothesis>
extends Object

Hypothesis base class.

Author:

Stephan Fuhrmann

Constructor Summary

Constructors

Constructor	Description
AbstractHypothesis()

Method Summary

Modifier and Type	Method	Description
protected abstract double	calculateFitness()	Calculates the fitness of this hypothesis.
protected abstract List<T>	crossOver(T other)	Returns a two-element crossover offspring of this and the other hypothesis.
protected abstract void	mutate()	Implements the mutation operator.
protected abstract T	randomInit()	Randomly initialize the hypothesis.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

AbstractHypothesis

public AbstractHypothesis()

Method Detail

randomInit

protected abstract T randomInit()

Randomly initialize the hypothesis.

Returns:

returns this hypothesis after a random initialization.

crossOver

protected abstract List<T> crossOver(T other)

Returns a two-element crossover offspring of this and the other hypothesis.

Parameters:

other - the other hypothesis to cross-over with.

Returns:

a two-element List of the offsprings.

calculateFitness

protected abstract double calculateFitness()

Calculates the fitness of this hypothesis.

Returns:

a fitness where a bigger number means more fitness. Please be advised that negative numbers will be problematic for the algorithm.

mutate

protected abstract void mutate()

Implements the mutation operator. The mutation operator flips one bit of the genome of the hypothesis.