ga.core
Interface GA<T extends IIndividual<T>>

Type Parameters:

T - The generic type of individuals.

All Known Subinterfaces:

ISIGA<T>

All Known Implementing Classes:

AbstractSIGA, SGA, SGAGeneration, SIGA, SIGAGeneration

public interface GA<T extends IIndividual<T>>

Interface for a genetic algorithm. Stores also global constants.

Since:

11.08.2012

Author:

Stephan Dreyer

Field Summary

static java.lang.String	KEY_EVALUATED_INDIVIDUALS_MIN_COUNT
static java.lang.String	KEY_GENOME_MAX_LENGTH
static java.lang.String	KEY_GENOME_MIN_LENGTH
static java.lang.String	KEY_INIT_INDIVIDUAL
static java.lang.String	KEY_INIT_INDIVIDUAL_PERCENTAGE
static java.lang.String	KEY_INTERVAL_FITNESS_MAX_WIDTH
static java.lang.String	KEY_VALIDATION_SPACE

Method Summary

IPopulation<T>	getPopulation() Getter for the population.
void	init() Initializes the algorithm and population.
void	setValidate(boolean validate) Setter to enable/disable individual validation.
void	setValidator(IValidator<T> validator) Set the individual validator for the algorithm.
void	step() Do one step.

Field Detail

KEY_VALIDATION_SPACE

static final java.lang.String KEY_VALIDATION_SPACE

See Also:

Constant Field Values

KEY_GENOME_MIN_LENGTH

static final java.lang.String KEY_GENOME_MIN_LENGTH

See Also:

Constant Field Values

KEY_GENOME_MAX_LENGTH

static final java.lang.String KEY_GENOME_MAX_LENGTH

See Also:

Constant Field Values

KEY_INIT_INDIVIDUAL

static final java.lang.String KEY_INIT_INDIVIDUAL

See Also:

Constant Field Values

KEY_INIT_INDIVIDUAL_PERCENTAGE

static final java.lang.String KEY_INIT_INDIVIDUAL_PERCENTAGE

See Also:

Constant Field Values

KEY_INTERVAL_FITNESS_MAX_WIDTH

static final java.lang.String KEY_INTERVAL_FITNESS_MAX_WIDTH

See Also:

Constant Field Values

KEY_EVALUATED_INDIVIDUALS_MIN_COUNT

static final java.lang.String KEY_EVALUATED_INDIVIDUALS_MIN_COUNT

See Also:

Constant Field Values

Method Detail

init

void init()

Initializes the algorithm and population.

Since:

11.08.2012

step

void step()

Do one step. This could create a new generation (generation-based GA) or do one reproduction (steady state).

Since:

11.08.2012

setValidate

void setValidate(boolean validate)

Setter to enable/disable individual validation. To validate, this must be set to true and a validator must be set.

Parameters:

validate - Enable/disable validation.

Since:

11.08.2012

setValidator

void setValidator(IValidator<T> validator)

Set the individual validator for the algorithm. To validate, this must be not be null and validate must have been activated.

Parameters:

validator - The individual validator.

Since:

11.08.2012

getPopulation

IPopulation<T> getPopulation()

Getter for the population.

Returns:

The population.

Since:

11.08.2012