es.urjc.etsii.grafo.improve.Improver<S,I>

Direct Known Subclasses:: FlippyFlopImprover, Improver.NullImprover, Improver.SequentialImprover, LocalSearch, SimulatedAnnealing, VND

public abstract class Improver<S extends Solution<S,I>,I extends Instance> extends Object

Any method that improves a given solution is called an Improver. The classical example, but not limited to, is a local search.

Field Details
- objective
  
  protected final Objective<?,S extends Solution<S,I>,I extends Instance> objective
Constructor Details
- Improver
  
  protected Improver(Objective<?,S,I> objective)
  
  Initialize common improver fields, to be called by subclasses
  
  Parameters:
  
  objective - MAXIMIZE to maximize scores returned by the given move, MINIMIZE for minimizing
Method Details
- improve
  
  public abstract S improve(S solution)
  
  Improves a model.Solution Iterates until we run out of time, or we cannot improve the current es.urjc.etsii.grafo.solution any further
  
  Parameters:
  
  solution - model.Solution to improve
  
  Returns:
  
  Improved s
- nul
  
  public static <S extends Solution<S, I>, I extends Instance> Improver<S,I> nul()
  
  Create a no operation improve method Returns the solution immediately without executing any operation
  
  Type Parameters:
  
  S - Solution class
  
  I - Instance class
  
  Returns:
  
  Null improve method
- serial
  
  @SafeVarargs public static <S extends Solution<S, I>, I extends Instance> Improver<S,I> serial(Objective<?,S,I> objective, Improver<S,I>... improvers)
- serial
  
  @SafeVarargs public static <S extends Solution<S, I>, I extends Instance> Improver<S,I> serial(Improver<S,I>... improvers)
- getObjective
  
  public Objective<?,S,I> getObjective()

Class Improver<S extends Solution<S,I>,I extends Instance>

Nested Class Summary