Documentation of 'org.jgap.impl.RangedSwappingMutationOperator' Java class
RangedSwappingMutationOperator
org.jgap.impl

Class RangedSwappingMutationOperator

  • All Implemented Interfaces:
    java.io.Serializable, java.lang.Comparable, Configurable, GeneticOperator


    public class RangedSwappingMutationOperator
    extends MutationOperator
    Swaps the genes instead of mutating them. This kind of operator is required by Traveling Salesman Problem. Copied and modified from SwappingMutationOperator. This implementation takes a range as parameter and uses it to only swap genes that are -/+ range indexes away from the gene being mutated. This basically allows for local searches before propagating through the entire problem space. Seems to work much better/quicker than a random swapping across the entire chromosome.
    Since:
    3.3.2
    See Also:
    Serialized Form
    • Constructor Detail

      • RangedSwappingMutationOperator

        public RangedSwappingMutationOperator()
                                       throws InvalidConfigurationException
        Constructs a new instance of this operator.

        Attention: The configuration used is the one set with the static method Genotype.setConfiguration.

        Throws:
        InvalidConfigurationException
        Since:
        3.3.2
      • RangedSwappingMutationOperator

        public RangedSwappingMutationOperator(Configuration a_config,
                                              int a_range)
                                       throws InvalidConfigurationException
        Parameters:
        a_config - the configuration to use
        a_range - the maximum range to use for considering genes to be swapped. The range is computed as the difference of the indices between two genes
        Throws:
        InvalidConfigurationException
        Since:
        3.3.2
      • RangedSwappingMutationOperator

        public RangedSwappingMutationOperator(Configuration a_config,
                                              IUniversalRateCalculator a_mutationRateCalculator,
                                              int a_range)
                                       throws InvalidConfigurationException
        Constructs a new instance of this operator with a specified mutation rate calculator, which results in dynamic mutation being turned on.
        Parameters:
        a_config - the configuration to use
        a_mutationRateCalculator - calculator for dynamic mutation rate computation
        a_range - the maximum range to use for considering genes to be swapped. The range is computed as the difference of the indices between two genes
        Throws:
        InvalidConfigurationException
        Since:
        3.3.2
      • RangedSwappingMutationOperator

        public RangedSwappingMutationOperator(Configuration a_config,
                                              int a_desiredMutationRate,
                                              int a_range)
                                       throws InvalidConfigurationException
        Constructs a new instance of this MutationOperator with the given mutation rate.
        Parameters:
        a_config - the configuration to use
        a_desiredMutationRate - desired rate of mutation, expressed as the denominator of the 1 / X fraction. For example, 1000 would result in 1/1000 genes being mutated on average. A mutation rate of zero disables mutation entirely
        a_range - the maximum range to use for considering genes to be swapped. The range is computed as the difference of the indices between two genes
        Throws:
        InvalidConfigurationException
        Since:
        3.3.2
    • Method Detail

      • operate

        public void operate(Population a_population,
                            java.util.List a_candidateChromosomes)
        Description copied from interface: GeneticOperator
        The operate method will be invoked on each of the genetic operators referenced by the current Configuration object during the evolution phase. Operators are given an opportunity to run in the order that they are added to the Configuration. Implementations of this method may reference the population of Chromosomes as it was at the beginning of the evolutionary phase and/or they may instead reference the candidate Chromosomes, which are the results of prior genetic operators. In either case, only Chromosomes added to the list of candidate chromosomes will be considered for natural selection. The parameters a_population and a_candidateChromosomes may refer to the same list of chromosomes for performance issues. Thus would mean an in-place modification. In ealier JGAP versions it was suggested never modifying the input population. Please refer to implementations delivered with JGAP to get a picture of the way non-susceptible in-place modifications are possible. If wrongly done, ConcurrentModificationException could be risen when accessing the population by an iterator in a GeneticOperator. Or, if population.getChromosomes().size() was used inside a loop where chromosomes were added to the input population this could lead to an infinite loop in worst case.
        Specified by:
        operate in interface GeneticOperator
        Overrides:
        operate in class MutationOperator
        Parameters:
        a_population - the population of chromosomes from the current evolution prior to exposure to any genetic operators. Chromosomes in this array should not be modified. Please, notice, that the call in Genotype.evolve() to the implementations of GeneticOperator overgoes this due to performance issues
        a_candidateChromosomes - the pool of chromosomes that have been selected for the next evolved population
        Since:
        3.3.2
      • setStartOffset

        public void setStartOffset(int a_offset)
        Sets a number of genes at the start of chromosome, that are excluded from the swapping. In the Salesman task, the first city in the list should (where the salesman leaves from) probably should not change as it is part of the list. The default value is 1.
        Parameters:
        a_offset - the offset to set
        Since:
        3.3.2
      • getStartOffset

        public int getStartOffset()
        Gets a number of genes at the start of chromosome, that are excluded from the swapping. In the Salesman task, the first city in the list should (where the salesman leaves from) probably should not change as it is part of the list. The default value is 1.
        Returns:
        the start offset
        Since:
        3.3.2
      • setRange

        public void setRange(int a_range)
        Sets the mutation range. This specifies the genes before and after which a subject gene is allowed to swap with
        Parameters:
        a_range - the offset to set
        Since:
        3.3.2
      • getRange

        public int getRange()
        Gets the mutation range.
        Returns:
        the start offset
        Since:
        3.3.2

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