Package adams.opt.optimise

Class GeneticAlgorithm

  • All Implemented Interfaces:
    CleanUpHandler, Destroyable, GlobalInfoSupporter, LoggingLevelHandler, LoggingSupporter, OptionHandler, SizeOfHandler, Serializable, Comparable
    public class GeneticAlgorithm
extends PackDataGeneticAlgorithm
    Morticia (GEX).

    Valid options are: 

    -D (property: debug)
         If set to true, scheme may output additional info to the console.
 
    -num-chrom <int> (property: numChrom)
         The number of chromosomes, ie, the population size.
         default: 50
 
    -num-iter <int> (property: numIterations)
         The number of iterations to perform.
         default: 10000000
 
    -seed <int> (property: seed)
         The seed value for the random number generator.
         default: 1
 
    -favor-zeroes (property: favorZeroes)
         Whether to favor 0s instead of 1s.
 
    -best <java.lang.String> (property: bestRange)
         The range of the best attributes.
         default: -none-
 
    -max-train <int> (property: maxTrainTime)
         The maximum number of seconds to training time (0 = unlimited time).
         default: 0
 
    -notify <int> (property: notificationInterval)
         The time interval in seconds after which notification events about changes
          in the fitness can be sent (-1 = never send notifications; 0 = whenever
          a change occurs).
         default: -1
    Version:
    $Revision$
    Author:
    Dale (dale at cs dot waikato dot ac dot nz), FracPete (fracpete at waikato dot ac dot nz)
    See Also:
    Serialized Form

    • Field Detail

      • m_bits

        protected int m_bits

      • m_zerocount

        protected int m_zerocount

      • m_LastNotificationTime

        protected Long m_LastNotificationTime
        the timestamp the last notification got sent.

    • Constructor Detail

      • GeneticAlgorithm

        public GeneticAlgorithm()
        The default constructor.

    • Method Detail

      • addResult

        protected void addResult​(String key,
                         Double val)
        Adds a result to the cache.
        Parameters:
        key - the key of the result
        val - the value to add

      • reset

        public void reset()
        Resets the genetic algorihtm. Derived classes must call this method in set-methods of parameters to assure the invalidation of previously generated data.
        Overrides:
        reset in class AbstractGeneticAlgorithm

      • getResult

        protected Double getResult​(String key)
        Returns a value from the cache.
        Parameters:
        key - the key of the result
        Returns:
        the result or null if not present

      • clearResults

        protected void clearResults()
        Clears all currently stored results.

      • weightsToString

        public String weightsToString​(int[] weights)
        Turns the weights into a string representation.
        Parameters:
        weights - the weights to turn into a string
        Returns:
        the weights as string

      • calcNewFitness

        public double calcNewFitness​(FitnessFunction ff,
                             int[] weights)
        Calculates the new fitness.

      • setBits

        public void setBits​(int value)
        Bits per gene.
        Parameters:
        value - the number of bits.

      • getBits

        public int getBits()
        Gets the number of bits.
        Returns:
        the number of bits

      • bitsTipText

        public String bitsTipText()
        Returns the tip text for this property.
        Returns:
        tip text for this property suitable for displaying in the GUI or for listing the options.

      • main

        public static void main​(String[] args)