tracks.ruleGeneration.geneticRuleGenerator

Class Chromosome

java.lang.Object

tracks.ruleGeneration.geneticRuleGenerator.Chromosome

All Implemented Interfaces:

java.lang.Comparable<Chromosome>

public class Chromosome
extends java.lang.Object
implements java.lang.Comparable<Chromosome>

Constructor Summary

Constructors

Constructor and Description
Chromosome(java.lang.String[][] ruleset, SLDescription sl) Chromosome constructor.

Method Summary

Modifier and Type	Method and Description
void	calculateFitness(long time) calculates the fitness, by comparing the scores of a naiveAI and a smart AI
void	cleanseChromosome()
Chromosome	clone() clone the chromosome data
int	compareTo(Chromosome o) Compare two chromosome with each other based on their constrained fitness and normal fitness
java.util.ArrayList<Chromosome>	crossover(Chromosome c) crossover the current chromosome with the input chromosome
double	getConstrainFitness() Get constraint fitness for infeasible chromosome
java.util.ArrayList<java.lang.Double>	getFitness() Returns the fitness of the chromosome
java.lang.String[][]	getRuleset() returns the ruleset of this chromosome
void	mutate() Flips a coin to see if we mutate on termination or interaction
void	mutateInteraction() performs a mutation on a random interaction in the set 4 types of mutation: insert a new rule, delete an old rule, change a rule, and change rule parameters (but keep the rule) the interaction ruleset will shift back and forth between an array and an arraylist depending on the circumstances according to what is easiest to manipulate at the time
void	mutateTermination() performs a mutation on a random termination in the set 4 types of mutation: insert a new rule, delete an old rule, change a rule, and change rule parameters (but keep the rule) the termination ruleset will shift back and forth between an array and an arraylist depending on the circumstances according to what is easiest to manipulate at the time.
void	setRuleset(java.lang.String[][] nRuleset) sets the ruleset

Methods inherited from class java.lang.Object

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

Constructor Detail

Chromosome

public Chromosome(java.lang.String[][] ruleset,
                  SLDescription sl)

Chromosome constructor. Holds the ruleset and initializes agents within

Parameters:

ruleset - the ruleset the chromosome contains

sl - the game description

time - elapsed time

Method Detail

mutate

public void mutate()

Flips a coin to see if we mutate on termination or interaction

mutateInteraction

public void mutateInteraction()

performs a mutation on a random interaction in the set 4 types of mutation: insert a new rule, delete an old rule, change a rule, and change rule parameters (but keep the rule) the interaction ruleset will shift back and forth between an array and an arraylist depending on the circumstances according to what is easiest to manipulate at the time

mutateTermination

public void mutateTermination()

performs a mutation on a random termination in the set 4 types of mutation: insert a new rule, delete an old rule, change a rule, and change rule parameters (but keep the rule) the termination ruleset will shift back and forth between an array and an arraylist depending on the circumstances according to what is easiest to manipulate at the time.

clone

public Chromosome clone()

clone the chromosome data

Overrides:

clone in class java.lang.Object

cleanseChromosome

public void cleanseChromosome()

calculateFitness

public void calculateFitness(long time)

calculates the fitness, by comparing the scores of a naiveAI and a smart AI

Parameters:

time - how much time to evaluate the chromosome

crossover

public java.util.ArrayList<Chromosome> crossover(Chromosome c)

crossover the current chromosome with the input chromosome

Parameters:

c - the other chromosome to crossover with

Returns:

the current children from the crossover process

compareTo

public int compareTo(Chromosome o)

Compare two chromosome with each other based on their constrained fitness and normal fitness

Specified by:

compareTo in interface java.lang.Comparable<Chromosome>

getFitness

public java.util.ArrayList<java.lang.Double> getFitness()

Returns the fitness of the chromosome

Returns:

fitness the fitness of the chromosome

getConstrainFitness

public double getConstrainFitness()

Get constraint fitness for infeasible chromosome

Returns:

1 if its feasible and less than 1 if not

getRuleset

public java.lang.String[][] getRuleset()

returns the ruleset of this chromosome

Returns:

setRuleset

public void setRuleset(java.lang.String[][] nRuleset)

sets the ruleset

Parameters:

nRuleset - the new ruleset