sdt.ga
Class GeneticAlgorithm

java.lang.Object
  |
  +--sdt.dist.Program
        |
        +--sdt.ga.GeneticAlgorithm

Direct Known Subclasses:

AsyncGeneticAlgorithm

public class GeneticAlgorithm

extends Program

implements java.io.Serializable

This class implements the main module in a GA. The GeneticAlgorithm class calls various operations involved in a GA.

See Also:

Serialized Form

Field Summary

CostView	costView
double	crossover_percentage
boolean	distributed variable indicating if GA is run in a distributed fashion.
int	elitism_level
int	evaluation_count
java.lang.Class	fitness_class class of organism fitness
GaView	gaView
int	generationNo
int	generations
boolean	graphics
boolean	mga variable indicating if MGA solutions are required.
java.util.Vector	mga_solns
boolean	minimize_evaluations
double	mutation_rate
int	n_mga Number of MGA solutions needed.
double	niching_percentage
java.lang.Class	organism_class
int	population_size
int	print_level
static java.util.Random	random
boolean	save_mode
static int	seed
boolean	seeded
double	select_fittest_percentage
double	sharing_percentage
OutputObserver	textObs These is the observer which pipes the print statements to the GUI text screen.

Constructor Summary

GeneticAlgorithm()

GeneticAlgorithm(java.lang.Class c)
default constructor for GA class

GeneticAlgorithm(java.lang.Class organismClass, java.lang.Class fitnessClass)
Creates an instance of a GeneticAlgorithm class with the specified organism and fitness classes.

Method Summary

void	evaluate(Organism org)
java.lang.Object	run(boolean distributed) Implements the run method with various steps involved in a genetic algorithm.

Methods inherited from class sdt.dist.Program

addJob, block

Methods inherited from class java.lang.Object

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

Field Detail

fitness_class

public java.lang.Class fitness_class

class of organism fitness

organism_class

public java.lang.Class organism_class

generations

public int generations

population_size

public int population_size

crossover_percentage

public double crossover_percentage

niching_percentage

public double niching_percentage

select_fittest_percentage

public double select_fittest_percentage

mutation_rate

public double mutation_rate

mga

public boolean mga

variable indicating if MGA solutions are required.

n_mga

public int n_mga

Number of MGA solutions needed.

mga_solns

public java.util.Vector mga_solns

minimize_evaluations

public boolean minimize_evaluations

evaluation_count

public int evaluation_count

generationNo

public int generationNo

textObs

public OutputObserver textObs

These is the observer which pipes the print statements to the GUI text screen.

elitism_level

public int elitism_level

sharing_percentage

public double sharing_percentage

print_level

public int print_level

seeded

public boolean seeded

save_mode

public boolean save_mode

seed

public static int seed

random

public static java.util.Random random

gaView

public GaView gaView

costView

public CostView costView

distributed

public boolean distributed

variable indicating if GA is run in a distributed fashion.

graphics

public boolean graphics

Constructor Detail

GeneticAlgorithm

public GeneticAlgorithm()

GeneticAlgorithm

public GeneticAlgorithm(java.lang.Class c)

default constructor for GA class

GeneticAlgorithm

public GeneticAlgorithm(java.lang.Class organismClass,
                        java.lang.Class fitnessClass)

Creates an instance of a GeneticAlgorithm class with the specified organism and fitness classes.

Method Detail

run

public java.lang.Object run(boolean distributed)

Implements the run method with various steps involved in a genetic algorithm.

Overrides:

run in class Program

evaluate

public void evaluate(Organism org)