Package org.moeaframework.algorithm

Class DBEA

java.lang.Object
org.moeaframework.algorithm.AbstractAlgorithm
org.moeaframework.algorithm.AbstractEvolutionaryAlgorithm
org.moeaframework.algorithm.DBEA
All Implemented Interfaces:
Algorithm, Configurable, EvolutionaryAlgorithm, Stateful
public class DBEA extends AbstractEvolutionaryAlgorithm
Implementation of the Improved Decomposition-Based Evolutionary Algorithm (I-DBEA). This implementation is based on the Matlab version published by the original authors.

References:

  1. Asafuddoula, M., T. Ray, and R. Sarker (2015). "A Decomposition-Based Evolutionary Algorithm for Many-Objective Optimization." IEEE Transaction on Evolutionary Computation, 19(3):445-460.
  2. Matlab-DBEA.rar

  • Constructor Details

    • DBEA

      public DBEA(Problem problem)
      Constructs a new instance of the DBEA algorithm with default settings.
      Parameters:
      problem - the problem being solved

    • DBEA

      public DBEA(Problem problem, NormalBoundaryDivisions divisions)
      Constructs a new instance of the DBEA algorithm with the given number of divisions.
      Parameters:
      problem - the problem being solved
      divisions - the number of divisions

  • Method Details

    • getDivisions

      public NormalBoundaryDivisions getDivisions()
      Returns the number of divisions used to generate reference points.
      Returns:
      the number of divisions

    • setDivisions

      public void setDivisions(NormalBoundaryDivisions divisions)
      Sets the number of divisions used to generate reference points. This method can only be called before initializing the algorithm.
      Parameters:
      divisions - the number of divisions

    • setVariation

      public void setVariation(Variation variation)
      Description copied from class: AbstractEvolutionaryAlgorithm
      Replaces the variation operator to be used by this algorithm.
      Overrides:
      setVariation in class AbstractEvolutionaryAlgorithm
      Parameters:
      variation - the variation operator

    • initialize

      protected void initialize()
      Description copied from class: AbstractAlgorithm
      Performs any initialization that is required by this algorithm. This method is called automatically on the first invocation of AbstractAlgorithm.step(). Implementations should always invoke super.initialize() to ensure the algorithm is initialized correctly.
      Overrides:
      initialize in class AbstractEvolutionaryAlgorithm

    • iterate

      protected void iterate()
      Description copied from class: AbstractAlgorithm
      Performs one iteration of the algorithm. This method should be overridden by implementations to perform each logical iteration of the algorithm.
      Specified by:
      iterate in class AbstractAlgorithm

    • getResult

      public NondominatedPopulation getResult()
      Description copied from interface: Algorithm
      Returns the current best-known result.
      Specified by:
      getResult in interface Algorithm
      Overrides:
      getResult in class AbstractEvolutionaryAlgorithm
      Returns:
      the current best-known result

    • applyConfiguration

      public void applyConfiguration(TypedProperties properties)
      Description copied from interface: Configurable
      Applies the properties to this instance. It is strongly recommended to apply a configuration immediately after creating the instance, as some properties can not be changed after the class is used. Exceptions may be thrown if attempting to set such properties. After calling this method, we encourage users to call TypedProperties.warnIfUnaccessedProperties() to verify all properties were processed. This can identify simple mistakes like typos. If overriding this method, properties should only be updated if a new value is provided. Additionally, if updating any Configurable objects inside this object, they should be updated before calling super.applyConfiguration(properties).
      Parameters:
      properties - the user-defined properties

    • getConfiguration

      public TypedProperties getConfiguration()
      Description copied from interface: Configurable
      Gets the current configuration of this instance. In theory, these properties should be able to create a duplicate instance. Note however, they are unlikely to behave identically due to random numbers and other transient fields.
      Returns:
      the properties defining this instance