w2img::GAOpts Class Reference

List of all members.

Public Member Functions
	GAOpts (const char *fileName=0)
	Can load from a text file where all the above parameters are listed one per line in order.
Public Attributes
bool	verbose
	verbose? (default: true)
bool	retainBest
	always keep the best so far, from generation to generation? (default: false)
bool	useDiversity
	Try to maintain a diversity of members or go strictly by fitness? (default: false).
bool	useScaling
	Use sigma truncation before choosing next generation? (default: true).
double	xoverProb
	cross-over probability (default: 0.7)
double	mutProb
	mutation probability (default: 0.005)
double	mutSigma
	how much to mutate.
double	annealFrac
	Fraction of population to anneal towards towards local max (default: 0.1).
double	randomizeFrac
	Fraction of population to replace with random members if progress stagnates (default: 0.75).
int	numQuants
	Number of quantization levels in the annealing process (default: 100).
int	maxFutile
	Number of generations with no improvement before we stop (default: 30).
int	maxGenerations
	Maximum number of generations (default: 100).
int	popSize
	Population size (default: 200).
bool	hybridAlg
	Use annealing or not? (default: true).

---

Constructor & Destructor Documentation

w2img::GAOpts::GAOpts

(

const char *

fileName = 0

)

Can load from a text file where all the above parameters are listed one per line in order.

---

Member Data Documentation

double w2img::GAOpts::annealFrac

Fraction of population to anneal towards towards local max (default: 0.1).

bool w2img::GAOpts::hybridAlg

Use annealing or not? (default: true).

int w2img::GAOpts::maxFutile

Number of generations with no improvement before we stop (default: 30).

int w2img::GAOpts::maxGenerations

Maximum number of generations (default: 100).

double w2img::GAOpts::mutProb

mutation probability (default: 0.005)

double w2img::GAOpts::mutSigma

how much to mutate.

This is computed from mutProb

int w2img::GAOpts::numQuants

Number of quantization levels in the annealing process (default: 100).

int w2img::GAOpts::popSize

Population size (default: 200).

double w2img::GAOpts::randomizeFrac

Fraction of population to replace with random members if progress stagnates (default: 0.75).

bool w2img::GAOpts::retainBest

always keep the best so far, from generation to generation? (default: false)

bool w2img::GAOpts::useDiversity

Try to maintain a diversity of members or go strictly by fitness? (default: false).

bool w2img::GAOpts::useScaling

Use sigma truncation before choosing next generation? (default: true).

bool w2img::GAOpts::verbose

verbose? (default: true)

double w2img::GAOpts::xoverProb

cross-over probability (default: 0.7)

---