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Java Source Code / Java Documentation » Development » jgap » examples.supergene 
Source Cross Reference  Class Diagram Java Document (Java Doc) 


java.lang.Object
   examples.supergene.AbstractSupergeneTest

All known Subclasses:   examples.supergene.SupergeneSample,
AbstractSupergeneTest
abstract public class AbstractSupergeneTest (Code)
Abstract class for testing Supergene performance.
author:
   Neil Rotstan
author:
   Klaus Meffert
author:
   Audrius Meskauskas
since:
   2.0


Field Summary
final public static  intDIMES
    
public static  booleanEXISTING_SOLUTIONS_ONLY
     If set to true (required for strict tests), only tasks with existing solutions will be submitted as a test tasks.
public static  intMAX_ALLOWED_EVOLUTIONS
     The total number of times we'll let the population evolve.
final public static  intNICKELS
    
final public static  intPENNIES
     Gene index for the pennies gene.
public static  intPOPULATION_SIZE
     Chromosome size.
final public static  intQUARTERS
     Gene index for the quarters gene.
public static  booleanREPORT_ENABLED
    


Method Summary
public static  intamountOfChange(int a_numQuarters, int a_numDimes, int a_numNickels, int a_numPennies)
     Compute the money value from the coin information.
protected  GenegetDimesGene(Configuration a_conf)
    
protected  GenegetNickelsGene(Configuration a_conf)
    
protected  GenegetPenniesGene(Configuration a_conf)
    
protected  GenegetQuartersGene(Configuration a_conf)
    
abstract public  intmakeChangeForAmount(int a_targetChangeAmount)
     Executes the genetic algorithm to determine the minimum number of coins necessary to make up the given target amount of change.
public  IChromosomereport(SupergeneChangeFitnessFunction a_fitnessFunction, Genotype a_population)
     Write report on eveluation to the given stream.
protected  intsolve(Configuration a_conf, int a_targetChangeAmount, SupergeneChangeFitnessFunction a_fitnessFunction, Gene[] a_sampleGenes)
     Find and print the solution, return the solution error.
public  inttest()
     Test the method, returns the sum of all differences between the required and obtained excange amount.

Field Detail
DIMES
final public static int DIMES(Code)
Gene index for the dimes gene



EXISTING_SOLUTIONS_ONLY
public static boolean EXISTING_SOLUTIONS_ONLY(Code)
If set to true (required for strict tests), only tasks with existing solutions will be submitted as a test tasks.



MAX_ALLOWED_EVOLUTIONS
public static int MAX_ALLOWED_EVOLUTIONS(Code)
The total number of times we'll let the population evolve.



NICKELS
final public static int NICKELS(Code)
Gene index for the nickels gene Only used in the alternative presentation



PENNIES
final public static int PENNIES(Code)
Gene index for the pennies gene. Only used in the alternative presentation



POPULATION_SIZE
public static int POPULATION_SIZE(Code)
Chromosome size.



QUARTERS
final public static int QUARTERS(Code)
Gene index for the quarters gene.



REPORT_ENABLED
public static boolean REPORT_ENABLED(Code)





Method Detail
amountOfChange
public static int amountOfChange(int a_numQuarters, int a_numDimes, int a_numNickels, int a_numPennies)(Code)
Compute the money value from the coin information.



getDimesGene
protected Gene getDimesGene(Configuration a_conf)(Code)

Parameters:
  a_conf - the configuration to use created Dimes gene instance



getNickelsGene
protected Gene getNickelsGene(Configuration a_conf)(Code)

Parameters:
  a_conf - the configuration to use created Nickels gene instance



getPenniesGene
protected Gene getPenniesGene(Configuration a_conf)(Code)

Parameters:
  a_conf - the configuration to use created Pennies (1) gene instance



getQuartersGene
protected Gene getQuartersGene(Configuration a_conf)(Code)

Parameters:
  a_conf - the configuration to use created Quarters gene instance



makeChangeForAmount
abstract public int makeChangeForAmount(int a_targetChangeAmount) throws Exception(Code)
Executes the genetic algorithm to determine the minimum number of coins necessary to make up the given target amount of change. The solution will then be written to System.out.
Parameters:
  a_targetChangeAmount - the target amount of change for which thismethod is attempting to produce the minimum number of coins absolute difference between the required and computed changeamount
throws:
  Exception -



report
public IChromosome report(SupergeneChangeFitnessFunction a_fitnessFunction, Genotype a_population)(Code)
Write report on eveluation to the given stream.
Parameters:
  a_fitnessFunction - p_SupergeneChangeFitnessFunction
Parameters:
  a_population - Genotype Chromosome



solve
protected int solve(Configuration a_conf, int a_targetChangeAmount, SupergeneChangeFitnessFunction a_fitnessFunction, Gene[] a_sampleGenes) throws InvalidConfigurationException(Code)
Find and print the solution, return the solution error.
Parameters:
  a_conf - the configuration to use absolute difference between the required and computed change



test
public int test()(Code)
Test the method, returns the sum of all differences between the required and obtained excange amount. One exception counts as 1000 on the error score.



Methods inherited from java.lang.Object
native protected Object clone() throws CloneNotSupportedException(Code)(Java Doc)
public boolean equals(Object obj)(Code)(Java Doc)
protected void finalize() throws Throwable(Code)(Java Doc)
final native public Class getClass()(Code)(Java Doc)
native public int hashCode()(Code)(Java Doc)
final native public void notify()(Code)(Java Doc)
final native public void notifyAll()(Code)(Java Doc)
public String toString()(Code)(Java Doc)
final native public void wait(long timeout) throws InterruptedException(Code)(Java Doc)
final public void wait(long timeout, int nanos) throws InterruptedException(Code)(Java Doc)
final public void wait() throws InterruptedException(Code)(Java Doc)

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