Population< T, siz > Class Template Reference

Contains a population of parameter sets derived from class Individual. More...

#include <Population.h>

Collaboration diagram for Population< T, siz >:

[legend]List of all members.

Public Member Functions
	Population ()
	Constructor.
	~Population ()
	Destructor.
T *	getNextIndividualWithoutFitness ()
	returns the next individual thats fitness was not tested before, or NULL if all individuals have a fitness
double	getBestFitness ()
	returns fitness of the best individual
void	outputStatistics (OutTextRawFile *file=0)
	outputs best fitness, average better half fitness and average fitness of individuals with fitness greater 0
void	evolve (double offspringrate=0.45, double crossormuta=0.4, double mutarate=0.3, double mutastrength=0.2, bool uniformNoise=false)
	does one step in evolution, you can use normal or uniform distributed noise for mutation
Public Attributes
T *	individual [siz]

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Detailed Description

template<class T, int siz>
class Population< T, siz >

Contains a population of parameter sets derived from class Individual.

Definition at line 22 of file Population.h.

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Constructor & Destructor Documentation

template<class T, int siz> Population< T, siz >::Population (   )  [inline]

Constructor. Definition at line 26 of file Population.h.

template<class T, int siz> Population< T, siz >::~Population (   )  [inline]

Destructor. Definition at line 35 of file Population.h.

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Member Function Documentation

template<class T, int siz> T* Population< T, siz >::getNextIndividualWithoutFitness (   )  [inline]

returns the next individual thats fitness was not tested before, or NULL if all individuals have a fitness Definition at line 44 of file Population.h.

template<class T, int siz> double Population< T, siz >::getBestFitness (   )  [inline]

returns fitness of the best individual Definition at line 57 of file Population.h.

template<class T, int siz> void Population< T, siz >::outputStatistics (  OutTextRawFile *  file = 0  )  [inline]

outputs best fitness, average better half fitness and average fitness of individuals with fitness greater 0 Parameters: file  if an OutTextRawFile is given, output will be appended there too Definition at line 73 of file Population.h.

template<class T, int siz> void Population< T, siz >::evolve (  double  offspringrate = 0.45, double  crossormuta = 0.4, double  mutarate = 0.3, double  mutastrength = 0.2, bool  uniformNoise = false )  [inline]

does one step in evolution, you can use normal or uniform distributed noise for mutation Definition at line 128 of file Population.h.

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Member Data Documentation

template<class T, int siz> T* Population< T, siz >::individual[siz]

Definition at line 183 of file Population.h. Referenced by operator>>().

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The documentation for this class was generated from the following file:

• Tools/Evolution/Population.h

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