Interface HeuristicSolution<T>

Type Parameters:
T - the type used to store the result of the solution. Check getResult() for more details.
All Superinterfaces:
Comparable<HeuristicSolution<T>>
All Known Implementing Classes:
CloudletToVmMappingSolution
public interface HeuristicSolution<T> extends Comparable<HeuristicSolution<T>>
A solution for a complex problem found using a Heuristic implementation. A heuristic can generate multiple solutions until finding an optimal or suboptimal solution for the problem.
Since:
CloudSim Plus 1.0
Author:
Manoel Campos da Silva Filho

  • Field Details

    • LOGGER

      static final org.slf4j.Logger LOGGER

    • NULL

      static final HeuristicSolution NULL
      An attribute that implements the Null Object Design Pattern for HeuristicSolution objects.

  • Method Details

    • getHeuristic

      Heuristic<HeuristicSolution<T>> getHeuristic()
      Returns:
      the heuristic that generated this solution.

    • getFitness

      default double getFitness()
      Defines how good the solution is and it the inverse of the getCost(). As higher the fitness, the better a solution is. How a solution fitness is computed is totally dependent on the heuristic implementation being used to find a solution.
      Returns:
      the solution fitness
      See Also:

    • getCost

      double getCost()
      Defines the cost of using this solution. As higher is the cost, the worse a solution is. How a solution cost is computed is totally dependent on the heuristic implementation being used to find a solution.
      Returns:
      the solution cost
      See Also:

    • getResult

      T getResult()
      Gets the result of the solution. For instance, if an implementation of this interface aims to provide a mapping between Cloudlets and Vm's, this type would be a Map<Cloudlet, Vm>, that will indicate which Vm will run each Cloudlet. This way, the type T of the solution is totally dependent of the problem being solved by the heuristic implementation.

      The result of a solution is generated by a heuristic. Getting an optimal or suboptimal solution is the final goal of a heuristic.

      Returns:
      the object containing the result of the generated solution.