Class DefaultPhaseParameters

java.lang.Object
com.google.ortools.constraintsolver.DefaultPhaseParameters
public class DefaultPhaseParameters extends Object
This struct holds all parameters for the default search.
DefaultPhaseParameters is only used by Solver::MakeDefaultPhase methods.
Note this is for advanced users only.

  • Field Details

    • swigCMemOwn

      protected transient boolean swigCMemOwn

    • CHOOSE_MAX_SUM_IMPACT

      public static final int CHOOSE_MAX_SUM_IMPACT

    • CHOOSE_MAX_AVERAGE_IMPACT

      public static final int CHOOSE_MAX_AVERAGE_IMPACT

    • CHOOSE_MAX_VALUE_IMPACT

      public static final int CHOOSE_MAX_VALUE_IMPACT

    • SELECT_MIN_IMPACT

      public static final int SELECT_MIN_IMPACT

    • SELECT_MAX_IMPACT

      public static final int SELECT_MAX_IMPACT

    • NONE

      public static final int NONE

    • NORMAL

      public static final int NORMAL

    • VERBOSE

      public static final int VERBOSE

  • Constructor Details

    • DefaultPhaseParameters

      public DefaultPhaseParameters(long cPtr, boolean cMemoryOwn)

    • DefaultPhaseParameters

      public DefaultPhaseParameters()

  • Method Details

    • getCPtr

      public static long getCPtr(DefaultPhaseParameters obj)

    • swigRelease

      public static long swigRelease(DefaultPhaseParameters obj)

    • finalize

      protected void finalize()
      Overrides:
      finalize in class Object

    • delete

      public void delete()

    • keepAliveDecisionBuilder

      public void keepAliveDecisionBuilder(DecisionBuilder db)

    • setVarSelectionSchema

      public void setVarSelectionSchema(int value)
      This parameter describes how the next variable to instantiate
      will be chosen.

    • getVarSelectionSchema

      public int getVarSelectionSchema()
      This parameter describes how the next variable to instantiate
      will be chosen.

    • setValueSelectionSchema

      public void setValueSelectionSchema(int value)
      This parameter describes which value to select for a given var.

    • getValueSelectionSchema

      public int getValueSelectionSchema()
      This parameter describes which value to select for a given var.

    • setInitializationSplits

      public void setInitializationSplits(int value)
      Maximum number of intervals that the initialization of impacts will scan
      per variable.

    • getInitializationSplits

      public int getInitializationSplits()
      Maximum number of intervals that the initialization of impacts will scan
      per variable.

    • setRunAllHeuristics

      public void setRunAllHeuristics(boolean value)
      The default phase will run heuristics periodically. This parameter
      indicates if we should run all heuristics, or a randomly selected
      one.

    • getRunAllHeuristics

      public boolean getRunAllHeuristics()
      The default phase will run heuristics periodically. This parameter
      indicates if we should run all heuristics, or a randomly selected
      one.

    • setHeuristicPeriod

      public void setHeuristicPeriod(int value)
      The distance in nodes between each run of the heuristics. A
      negative or null value will mean that we will not run heuristics
      at all.

    • getHeuristicPeriod

      public int getHeuristicPeriod()
      The distance in nodes between each run of the heuristics. A
      negative or null value will mean that we will not run heuristics
      at all.

    • setHeuristicNumFailuresLimit

      public void setHeuristicNumFailuresLimit(int value)
      The failure limit for each heuristic that we run.

    • getHeuristicNumFailuresLimit

      public int getHeuristicNumFailuresLimit()
      The failure limit for each heuristic that we run.

    • setPersistentImpact

      public void setPersistentImpact(boolean value)
      Whether to keep the impact from the first search for other searches,
      or to recompute the impact for each new search.

    • getPersistentImpact

      public boolean getPersistentImpact()
      Whether to keep the impact from the first search for other searches,
      or to recompute the impact for each new search.

    • setRandomSeed

      public void setRandomSeed(int value)
      Seed used to initialize the random part in some heuristics.

    • getRandomSeed

      public int getRandomSeed()
      Seed used to initialize the random part in some heuristics.

    • setDisplayLevel

      public void setDisplayLevel(int value)
      This represents the amount of information displayed by the default search.
      NONE means no display, VERBOSE means extra information.

    • getDisplayLevel

      public int getDisplayLevel()
      This represents the amount of information displayed by the default search.
      NONE means no display, VERBOSE means extra information.

    • setUseLastConflict

      public void setUseLastConflict(boolean value)
      Should we use last conflict method. The default is false.

    • getUseLastConflict

      public boolean getUseLastConflict()
      Should we use last conflict method. The default is false.

    • setDecisionBuilder

      public void setDecisionBuilder(DecisionBuilder value)
      When defined, this overrides the default impact based decision builder.

    • getDecisionBuilder

      public DecisionBuilder getDecisionBuilder()
      When defined, this overrides the default impact based decision builder.