An exponential fitness scaler. More...

#include <scaler.h>

Inheritance diagram for libevocosm::exponential_scaler< OrganismType >:

Public Member Functions
	exponential_scaler (double a_a=1.0, double a_b=1.0, double a_power=2.0)
	Constructor. More...

virtual void	scale_fitness (vector< OrganismType > &a_population)
	Scaling function. More...

Public Member Functions inherited from libevocosm::scaler< OrganismType >
virtual	~scaler ()
	Virtual destructor. More...

void	invert (vector< OrganismType > &a_population)
	Invert a population's fitness values. More...

Additional Inherited Members
Static Protected Member Functions inherited from libevocosm::globals
static size_t	rand_index (size_t n)
	Static function to allow use of g_random function pointer in random_shuffle.

static void	set_random_seed (uint32_t a_seed)
	Set the seed for the random number generator.

static uint32_t	get_seed ()
	Set the seed for the random number generator.

static std::string	version ()
	Get version number.

Static Protected Attributes inherited from libevocosm::globals
static prng	g_random
	A shared random number generator.

static std::string	g_version
	Version number.

Detailed Description

Implements an exponential fitness scaling, whereby all fitness values are modified such that new fitness = (a * fitness + b) ^ n.

Parameters

OrganismType - The type of organism

Constructor & Destructor Documentation

template<class OrganismType >

libevocosm::exponential_scaler< OrganismType >::exponential_scaler	(	double	a_a = `1.0`,
		double	a_b = `1.0`,
		double	a_power = `2.0`
	)

inline

Creates a new exponential scaler with a given set of parameters. The formula used is new_fitness = (a * fitness + b) ^ power.

Parameters

a_a	- A multplier against the fitness
a_b	- Added to fitness before exponentiation
a_power	- Power applied to the value

template<class OrganismType >

virtual void libevocosm::exponential_scaler< OrganismType >::scale_fitness ( vector< OrganismType > & a_population )

inlinevirtual

Performs exponential scaling on the fitness of the target population.

Parameters

a_population - A population of organisms

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