Package org.moeaframework.problem.single

Class Rosenbrock

java.lang.Object
org.moeaframework.problem.AbstractProblem
org.moeaframework.problem.single.Rosenbrock
All Implemented Interfaces:
AutoCloseable, Problem
public class Rosenbrock extends AbstractProblem
The single-objective Rosenbrock problem with an optimum at x = (1, 1) with f(x) = 0. While this implements the two variable version, there does exist a generalized version to N variables.

References:

  1. Rosenbrock, H.H. (1960). "An Automatic Method for Finding the Greatest or Least Value of a Function". The Computer Journal. 3 (3): 175–184. doi:10.1093/comjnl/3.3.175. ISSN 0010-4620.

  • Constructor Details

    • Rosenbrock

      public Rosenbrock()
      Constructs a new instance of the Rosenbrock problem with two decision variables.

    • Rosenbrock

      public Rosenbrock(int numberOfVariables)
      Constructs a new instance of the Rosenbrock problem.
      Parameters:
      numberOfVariables - the number of decision variables

  • Method Details

    • evaluate

      public void evaluate(Solution solution)
      Description copied from interface: Problem
      Evaluates the solution, updating the solution's objectives in place. Algorithms must explicitly call this method when appropriate to evaluate new solutions or reevaluate modified solutions.
      Parameters:
      solution - the solution to be evaluated

    • newSolution

      public Solution newSolution()
      Description copied from interface: Problem
      Returns a new solution for this problem. Implementations must initialize the variables so that the valid range of values is defined, but typically leave the actual value at a default or undefined state.
      Returns:
      a new solution for this problem

    • getReferenceSet

      public NondominatedPopulation getReferenceSet()
      Returns the reference set, typically a single solution unless the problem has multiple local minima, for this single objective problem.
      Returns:
      the reference set