DistributedEvolutionaryAlgorithmsFramework
Class Algorithm

java.lang.Object
  DistributedEvolutionaryAlgorithmsFramework.Algorithm

public abstract class Algorithm
extends java.lang.Object

Abstract class for user-defined algorithm

Field Summary

protected double	bestFitness Fitness of bestIndividual
protected Individual	bestIndividual Inidivual with the best fitness, returned by generation()
protected int	dimensions Number of dimensions of given fitness function
protected FitnessFunction	function Optimized function
protected int	popSize Population size
protected Population	population Population of Individuals for use in algorithm

Constructor Summary

Algorithm()

Method Summary

abstract Individual	generation() Runs one generation/cycle of algorithm
abstract Population	getPopulation()
abstract void	newRound() newRound() is called at the end of each round (after emigration) and can be used to alter algorithm configuration or left blank if no alteration is not needed.
abstract void	setParameter(java.lang.String configName, float value) Sets externally defined algorithm specific parameters.
abstract void	setPopulation(Population population_) Sets main population to given Population

Methods inherited from class java.lang.Object

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

Field Detail

dimensions

protected int dimensions

Number of dimensions of given fitness function

popSize

protected int popSize

Population size

function

protected FitnessFunction function

Optimized function

bestIndividual

protected Individual bestIndividual

Inidivual with the best fitness, returned by generation()

population

protected Population population

Population of Individuals for use in algorithm

bestFitness

protected double bestFitness

Fitness of bestIndividual

Constructor Detail

Algorithm

public Algorithm()

Method Detail

generation

public abstract Individual generation()
                               throws java.io.IOException

Runs one generation/cycle of algorithm

Returns:

Best Individual from the population

Throws:

java.io.IOException

getPopulation

public abstract Population getPopulation()

Returns:

population used in algorithm

setPopulation

public abstract void setPopulation(Population population_)

Sets main population to given Population

Parameters:

population_ -

newRound

public abstract void newRound()

newRound() is called at the end of each round (after emigration) and can be used to alter algorithm configuration or left blank if no alteration is not needed.

setParameter

public abstract void setParameter(java.lang.String configName,
                                  float value)

Sets externally defined algorithm specific parameters.

Parameters:

configName - Name of the parameter to set

value - Value of parameter